Spot Market Competition in the UK Electricity Industry
|
|
|
- Coleen James
- 10 years ago
- Views:
Transcription
1 Spot Market Copetitio i the UK Electricity Idustry Nils-Herik M. vo der Fehr Uiversity of Oslo David Harbord Market Aalysis Ltd 2 February 992 Abstract With particular referece to the structure of the UK idustry, price copetitio i a deregulated wholesale arket for electricity is odelled as a sealed-bid, ultiple-uit auctio with a rado uber of uits. It is argued that uder the existig regulatory rules oe ust expect volatile prices, above argial-cost pricig ad iefficiet despatchig. Evidece fro the pricig perforace of the UK idustry is preseted ad show to be copatible with the odel predictios. We also discuss alterative regulatory rules ad show that offerig to supply at argial cost ca be iduced as a doiat strategy for all firs, thereby securig efficiet despatchig. JEL Classificatio Nubers: D44. L94, L0, L5 Keywords: Multi-uit auctios, electricity spot arkets, regulatory refor The first author has beefited cosiderably fro cotact with the ESRC project "The Regulatio of Firs with Market Power ad wishes to thak its participats, ad i particular Joh Vickers, for helpful discussios. The secod author's work was partially supported by Lodo Ecooics Ltd. We are grateful to Friedel Bolle, Robi Cohe, Fi Førsud, Joh Kay, Kai-Uwe Küh, Meg Meyer, Jorge Padilla, Toy Curzo Price, Lars Sørgaard, workshop participats at Nuffield College ad two aoyous referees for valuable coets ad suggestios o earlier versios. Fiacial support fro NORAS (Norges råd for avedt safusforskig) is gratefully ackowledged (NHF).
2 . Itroductio At the core of the recetly deregulated ad privatized UK electricity idustry is the wholesale spot arket. Before each period that the arket is ope, the geeratig copaies (the geerators) subit iiu prices at which they are willig to supply power. O the basis of these offer prices, the Natioal Grid Copay, which plays a cetral role as coordiator ad which is resposible for ruig the trasissio grid, draws up a least-cost pla of geeratig uits for despatchig i the ext period. This rak order, together with dead, deteries which uits will actually be despatched. 2 Payets to supplyig uits, or sets, are based o a syste argial price, deteried as the offer price of the argial operatig uit i every period. The particular orgaizatio of the electricity spot arket akes stadard oligopoly odels iadequate as aalytical tools. We propose istead to odel this arket as a sealed-bid, ultiple-uit auctio. I the first stage of the odel, firs siultaeously subit offer prices at which they are willig to supply their (give) capacities. As i the UK idustry, firs (geerators) ca subit differet offer prices for each idividual plat or geeratig set, i.e. firs offer step supply fuctios. Sets are the raked accordig to their offer prices (i.e. a supply fuctio is costructed). I the fial stage, dead is realized ad the syste argial price is deteried by the itersectio of dead ad supply; that is, by the offer price of the argial operatig uit. It turs out that pure-strategy equilibria do ot always exist i such a odel. The reaso is basically the sae as that i stadard oligopoly odels of capacity-costraied price copetitio (Kreps ad Scheika, 986). Sice, whe dead is sufficietly large, a fir is uable to serve the whole arket at the copetitive price, there is a icetive to raise bids above argial cost, ad thus the copetitive outcoe caot be a equilibriu. It ca the be show that for a rage of dead distributios o other pure-strategy cobiatios costitute a equilibriu either. We believe that this result does ot ecessarily reflect a iadequacy of our odellig approach, but rather suggests that there is a iheret price istability i the preset regulatory set up. Ideed, our epirical evidece would see to cofir that experietatio ad abrupt chages i pricig strategies is a feature of the ew idustry. This particular result (the o-existece of equilibriu i pure strategies) also casts soe doubt o the relevace of the odel aalyzed by Richard Gree ad David Newbery (99) (see also Bolle,990, ad Newbery, 99). These authors argue that the step-legth, i.e. the size of idividual geeratig sets, is sall eough to justify approxiatig the step-supply schedules by sooth (i.e. cotiuously differetiable) fuctios, thus applyig the supplyfuctio fraework developed by Kleperer ad Meyer (989). As we deostrate however, the particular types of equilibria they derive do ot geeralize to a odel where sets are of positive size. Although theirs is a seeigly very useful cotributio, it reais a ope questio whether the biddig strategies of the firs will differ sigificatly if they are forced For details o the UK electricity idustry, ew ad old, see Vickers ad Yarrow (99), Gree (99a) ad Jaes Capel & Co.(990). 2 Allowaces for particular circustaces such as trasissio costraits ad syste stability cosideratios ay lead to deviatios i despatchig fro that which follows fro the rak order. Further details are provided i appedix B.
3 to provide a step fuctio, or whether they are allowed to provide a sooth schedule (Gree ad Newbery, 99, footote 2, page 5). 3 Nevertheless the ost iportat result, iefficiet pricig, turs out to be robust to alterative fors of odellig. Ideed, we fid a eve stroger tedecy tha Gree ad Newbery towards above argial-cost pricig. Thus the cojecture that the Bertrad outcoe is ulikely i the preset istitutioal set-up of the UK electricity idustry, eve if there is o collusive behaviour, sees to be strogly supported. I additio, our odel suggests that high-cost sets ay be bid i at lower offer prices tha lower-cost sets ad thus be despatched before these ore efficiet uits. Hece despatchig ay be iefficiet i the sese that overall ecooic geeratio costs are ot iiized. A iportat advatage of our fraework is that it akes it possible to odel explicitly the role of the grid copay (the auctioeer), ad the use isights fro the auctio literature to study the effects of differet pricig rules, i.e. the rules deteriig the prices paid to differet supplyig uits. With a pricig rule like the oe used i the preset UK electricity idustry, the gae correspods to a first-price sealed-bid auctio. However, by lettig the syste argial price be deteried by the offer price of oe of the argial o-operatig sets, the gae correspods to a (geeralized) secod-price sealed-bid auctio, ad i this case offerig to supply at argial cost ca be show to be a doiat strategy for each fir. This result is i accord with what is typically foud i the literature o optial auctios where it is well kow that secod-price (or Vickery) auctios lead to higher reveues for the auctioeer tha do first-price auctios (Myerso (98) or Maski ad Riley (989)). The reaider of the paper is orgaized as follows. Our auctio odel of the U.K. electricity spot arket is preseted i sectio 2 ad the aalyzed i sectio 3. Sectio 4 the relates the odel to epirical evidece fro the UK electricity idustry. I sectio 5 we cosider a alterative regulatory rule. Sectio 6 cotais a short suary ad coclusios. 2. The Model Before the actual opeig of the arket, N idepedet firs siultaeously subit offer prices at which they are willig to supply electricity fro each of their geeratig uits, or sets. O the basis of these bids, the arket orgaizer (or auctioeer ) draws up a rakig of uits, i.e. a arket supply curve is costructed. Whe the arket opes, dead is deteried as a rado variable idepedet of price, ad the auctioeer, by callig suppliers ito operatio, equates dead ad supply. Operatig uits, i.e. uits actually supplyig output, are paid the syste argial price which is equal to the offer price of the argial operatig uit. It is assued that geerators have costat argial costs, c 0, =,2,...,N, at productio levels below capacity, while productio above capacity is ipossible. We let the idex rak firs accordig to their argial costs, i.e. c c +. The total capacity of fir is give by k, =,2,...,N. The capacity of fir cosists of sets where k i is the capacity of the ith set, i =,2,...,, ad = k i. We let M deote the total uber of sets, i.e. M =. i k 3 Gree ad Newbery also assue dowward slopig dead curves, whereas copletely ielastic dead would see to be ore appropriate for the UK idustry. Bolle (990) proves that i the latter case, o equilibriu exists i the supply-fuctio odel. 2
4 Firs ca subit differet bids for each of their sets. If two or ore sets (of ay fir) are offered at the sae price, they are equally likely to be called ito operatio. We cosider a gae G with N+ players: N suppliers ad Nature. The ove order is as follows: Stage : The suppliers siultaeously subit offer prices =,..., N, cn p<. p i p, i =, 2,...,, r Stage 2: Sets are raked accordig to their bids such that if the bid of the set with rak r is p r ad that of the set with rak r is p r ad p < p r the r < r. If sets are offered at the sae price p, the these sets are desigated ubers r, r+,...,r+-, with (argial) probabilities /, for soe r {,2,..., M + }. Stage 3: Nature chooses a uber d d, d [ 0, K] probability distributio G( d ). 4 Let K 0 = 0 r j ad K = k, r =,2,..., M r j= Let ρ { r K d}, N K = k, accordig to soe =, where k r is the capacity of the set with rak r. r = ax r <. The all sets with rak r =,2,...,ρ- get paid p ρ k while set ρ ρ gets p d Kρ. Let s be the actual supply of fir, ρ r i.e. s = δ ( ) ( ) r r k + δ ρ d K = ρ, where δ ( r) is if the set with rak r belogs to ρ fir ad zero otherwise. The payoff to fir is the p c s, =,2,..., N. All players are assued to be risk eutral ad hece ai to axiize their expected payoff i the gae. All aspects of the gae, as well as the players argial costs ad capacities ad the probability distributio G( d ), are assued to be coo kowledge. Note that firs offer prices are costraied to be below soe threshold level p <, sice otherwise, i cases whe there is a positive probability that all sets will be called ito operatio, expected payoffs could be ade ifiitely large. A atural iterpretatio of p is that it is a (regulated) axiu price, either officially, or as perceived by the geerators (i.e. firs believe that the regulatio authorities will effectuate price regulatio if the price rises above p ). A alterative iterpretatio is that p is a reservatio price, below which dead is copletely ielastic. Our odel ay be cosidered as a special case of a auctio, i fact, as a first-price, sealedbid, ultiple-uit auctio with a rado uber of uits, where all uits are sold siultaeously (McAfee ad McMilla, 987, Hausch, 986). It is sealed-bid because of the siultaeous ove structure ad first-price i the sese that the arket price is deteried by the argial successful supplier. I Sectio 5, we show that this iterpretatio is particularly coveiet for aalyzig alterative pricig rules. 4 Note that to assue d [ 0, K] is without loss of geerality sice supply is liited to K ad, thus, dead will have to be ratioed if it icreases beyod K. I particular, G( d) will typically have a ato at d = K, reflectig the fact that ratioig ay occur with positive probability. I additio, the preset UK electricity-supply idustry is characterized by sigificat excess capacity, ad this is likely to reai true for the foreseeable future. Hece d < K would appear to be the relevat case. 3
5 3. Aalysis I this sectio we characterise the Nash-equilibria of the odel preseted i Sectio 2. Most of the discussio will cetre o the duopoly case, for which we are able to derive explicit results. Apart fro beig the relevat case for the UK electricity idustry (see the discussio i Sectio 4), explicit forulae for optial strategies are difficult to derive i the ore geeral oligopoly case. Hece our discussio of oligopoly i this sectio is i ost cases liited to poitig out where ad how the duopoly results geeralize. We start by presetig a result o the types of pure-strategy equilibria that ca occur. 5 Propositio : I a pure-strategy equilibriu, (geerically) at ost oe fir will deterie the syste argial price with positive probability. Reark: By geericity is here eat that firs have differet argial costs, i.e. c cˆ for all ˆ. If firs have idetical argial costs there ay exist Bertrad-type equilibria where firs subit offer prices equal to the argial costs of each set, ad i which ore tha oe fir ows sets which with positive probability ay becoe the argial operatig uit. The ituitio uderlyig the result is the followig. A player who ows a set which has a positive probability of becoig the argial operatig uit, will always wat to icrease the offer price of that set by soe sall aout towards the ext higher bid, sice that does ot affect the rakig, but icreases the fir s payoff i the evet that this is the argial set. O the other had, it caot be optial to subit a offer price equal to or just above that of a set of aother player, sice as log as the offer price is above argial cost (which it will be for at least oe fir), profits ca be icreased by udercuttig the rival slightly, thereby icreasig the probability of beig called ito operatio, without sigificatly reducig the price received i ay state. These two opposig forces destroy ay cadidate for a purestrategy equilibriu i which two or ore firs both have sets which with positive probability will becoe the argial operatig uit. Propositio iplies that the types of pure-strategy equilibria that ay exist are very restricted, ad, furtherore, it rules out the existece of pure-strategy equilibria for a wide rage of dead distributios (we retur to this latter poit i later sectios). Sigificatly, it follows that the types of equilibria foud by Gree ad Newbery (99) i their odel, do ot geeralize to the case where idividual geeratig sets are of positive size. The reaso that such equilibria exist i their supply-fuctio fraework is that whe idividual sets are of size zero (the cost fuctio is cotiuously differetiable everywhere), the gai fro udercuttig ay idividual rival set is egligible, ad thus the secod part of the above arguet does ot apply. I the followig sectio we cosider circustaces uder which pure-strategy equilibria will exist, as well as presetig exaples of ixed-strategy equilibria whe pure strategy equilibria are o-existet. The existece, ultiplicity ad the type of equilibria will be see to deped crucially o the support of the dead distributio. We will therefore distiguish betwee three geeric cases, which, for N = 2, are defied as follows: Case (Low dead): Supp G() = [ d, d] [0,i{ k, k2}], i.e. a sigle fir ca supply the whole of dead. 5 All proofs have bee relegated to the appedices. 4
6 Case 2 (High dead): ( ) 2 Supp G = [ d, d] [ax{ k, k }, K], i.e. both firs will be producig with probability oe. Case 3 (Variable dead): d d > ax{ k, k2}, i.e. there is positive probability for both the evet that a sigle fir ca supply the whole of dead ad the evet that both firs will have to be called ito operatio, irrespective of their bids. 3. Low-dead periods We begi by cosiderig the case where, with probability, dead is less tha the capacity of the sallest fir. This case turs out to correspod to the stadard Bertrad odel of oligopoly ad thus there is a uique equilibriu outcoe i which both firs offer to supply at a price equal to the argial cost of the least efficiet fir: Propositio 2: If supp G() [0,i{ k, k2}] the there exist pure-strategy equilibria, i all of which the syste argial price equals the argial cost of the least efficiet fir, c 2, ad oly fir produces. 6 Reark: Whe k k 2 G such that Pr( d k) = E d k p c p c, 7 but other equilibria ay exist also (see the ext sectio). >, such equilibria cotiue to exist for all ( ) ad [ ] [ ] 2 2 The arguet i the proof is idetical to that of the stadard Bertrad odel. Sice, with probability, dead ca be covered by oe fir, there will be copetitio to becoe the sigle operatig fir. I particular, a fir will always udercut its rival so log as its rival s bids are above its ow argial costs. Thus ay equilibriu ust have the ost efficiet fir (fir ) subittig offer prices for a capacity sufficiet to cover dead, at or below the argial cost of the least efficiet fir. Sice i this rage, fir s profit is icreasig i its ow offer price, these bids ust equal c 2. We coclude that i low dead periods, the syste argial price is bouded above by the argial costs of the less efficiet fir. A siilar result ca be show to hold i the oligopoly odel. If, with probability, dead is less tha the total capacity of the ost efficiet firs ( < N), the i ay equilibriu syste argial price caot exceed the argial cost of the + st ost efficiet fir. However, as we show i sectio 3.3, pure-strategy equilibria will geerally ot exist i this odel. 3.2 High-dead periods I this sub-sectio we assue that with probability both firs will be called ito operatio. Sice the high-pricig fir will be operatig for sure, ad i equilibriu firs ever subit equal bids (see Propositio ), its profit will be icreasig i its ow offer price. Thus, the extree opposite to the result of the previous sectio holds; whereas i low-dead periods the syste argial price equals the argial cost of the least efficiet fir, i high-dead periods it always equals the highest adissible price. 6 To avoid o-existece, we ipose the tie-breakig rule that fir is called ito operatio with probability wheever the firs' offer prices tie at c 2. This captures the idea that the ost efficiet fir argially uderbids its rival, while siplifyig the descriptio of the equilibriu. 7 E is the expectatios operator. 5
7 Propositio 3: If supp G() [ax{ k, k2}, K] all pure-strategy equilibria are give by offerprice pairs ( p, p2) satisfyig either p = p ad p2 b2 or p 2 = pˆ ad p b for soe < p, i =,2. bi Reark: If k > k 2 ( k < k 2 ), the all ( p, p 2) such that p = pad p 2 b 2 ( p2 = pad p b) cotiue to be equilibria for all G ( ) such that Pr( d > k2) = ( Pr( d > k) = ). That is, a sufficiet coditio for the existece of this type of equilibriu is that, with probability, dead is greater tha the capacity of the saller fir. As already oted, the ituitio for the result is straightforward. The high-biddig fir will always deterie the syste argial price. Therefore its payoff is icreasig i its ow offer prices ad profit axiizatio requires biddig at the highest adissible price. The lowbiddig fir is idifferet betwee ay offer price lower tha that of the high-biddig fir. However, to esure that the high-biddig fir does ot deviate, the low-biddig fir has to bid low eough so that the high-biddig fir s payoff fro udercuttig is less tha the payoff eared i equilibriu. Thus the upper boud o the low-biddig fir s offer price. I all of the equilibria characterized by Propositio 3, the syste argial price equals the highest adissible price. The low-biddig fir is despatched with full capacity while the high-biddig fir supplies the residual dead. It follows that both firs prefer equilibria where they act as the low-biddig fir, sice the received price is the sae while a fir s output is greater i the equilibriu i which it is raked first. Note that soe of these equilibria ivolve iefficiet despatchig: the high-cost fir ay be the fir with the lowest bid ad thus will be despatched with its total capacity, while the low cost fir is oly despatched with part of its capacity. I such equilibria, geeratio costs are ot iiized. It is easy to see that i the oligopoly case we get a correspodig result: Wheever dead is such that the highest-biddig fir deteries the syste argial price with probability, ay vector of offer prices such that the highest-pricig fir subits p while the rest bid sufficietly below this, will be a equilibriu Variable-dead periods We tur ow to the iterediate case i which there is a positive probability of either fir becoig the argial fir, whatever their offer prices (i.e. rak). It is clear that offer-price pairs like those i Propositio 3 caot costitute equilibria i this case sice the low-biddig fir will ow always wish to icrease its offer price; i doig so it thereby icreases the syste argial price i the evet that it becoes the argial operatig fir. I fact, we have the followig result: Propositio 4: If d d > ax{ k, k2}, where [ d, d ] is the support of the dead distributio G (), the there does ot exist a equilibriu i pure strategies. This result follows directly fro Propositio. Sice the rage of possible dead distributios exceeds the capacity of the largest fir, it follows that for ay strategy cobiatio there is a positive probability that sets of either fir will be the argial operatig uit. We ca the apply the result of Propositio ; there caot exist pure strategy 6
8 equilibria for which ore tha oe fir has a positive probability of deteriig the syste argial price. 8 I the reaider of this sectio we cosider a exaple where for all, =, i.e. each fir ows oly oe set, or ca subit oly oe offer price for the whole of its capacity, ad we characterize ixed-strategy equilibria for both the duopoly ad the oligopoly cases. 9 I the duopoly case we are able to show that there exists a uique ixed-strategy equilibriu, ad we derive the explicit for of the two players strategies. I particular, we fid that the lowest price i support of the players strategies is strictly greater tha the argial cost of the least efficiet fir, ad that this lowest price is a icreasig fuctio both of the highest possible price p, the probability that both firs will be operatig (i.e. dead), ad the argial cost of the least efficiet fir. We coclude this sectio by characterizig the (uique) equilibriu of the syetric oligopoly odel ad deostrate that the (expected) syste argial price is a decreasig fuctio of the uber of firs i the idustry. The aalysis is cosiderably siplified by restrictig attetio to the followig special case: All firs are assued to have equal capacities oralized to, ad dead is discrete ad distributed o {,2,..,N} with probabilities π = Pr( d = ), =,2,...,N, with Pr( d = ) 0 ad π =. Sice the ai results carry over to the ore geeral odel, for the rest of this sectio we cocetrate o this special case. Assue N = 2 ad defie π π. Without loss of geerality, oralize c to zero ad let c c 2. The assuptio o the support of the dead distributio i propositio 4 ow correspods to the case where 0 < <, i.e. the evets that oe ad two firs are called ito operatio both occur with positive probability. Defie p c l e whe π = p c 2 F ( p) = 2π π p c π π whe π 2π p c + 2π 2 () 8 I the oligopoly case this result is oly "geerically" true. By "geeric" we ea here that two assuptios ust be fulfilled. First, at least two firs ust have positive probability of becoig the argial fir irrespective of the rak order. Secod, if is the iiu ad M the axiu uber of firs that ca be called ito operatio, the the M+st ost efficiet fir ust have higher argial cost tha the th ost efficiet fir. If these coditios are ot fulfilled, the there are (ultiple) pure strategy Bertrad-type equilibria where the syste argial price equals the argial cost of the M+st ost efficiet uit, ad oly (a subset of) the M ost efficiet uits supply (see vo der Fehr (990)). 9 Aalyses of ixed strategies i odels with a siilar structure to the odel preseted here ca be foud i Shiloy (977), Varia (980), ad Padilla (990). See Bradeburger (990) for a discussio of the iterpretatio of ixed-strategy equilibria as equilibria i beliefs. 7
9 p l e whe p < p,ad π = p+ [ e ] c 2 F2 ( p) = 2π π π p π + whe p < p,ad π 2π p+ [ απ ] c 2π 2 (2) F2 ( p ) =, ad where α π π π π 2π p p c +c w he π = e 2 = π π 2π [ p c] + c w he π π 2 where l( e). We ca the prove the followig result: (3) Propositio 5: Whe N = 2 there exists a uique ixed-strategy Nash equilibriu i which player i s strategy is give by: Play p [ p, p] accordig to the probability distributio Fi ( p ), where F( p ), i =, 2 are give by () ad (2), ad p is give by (3). i Fro () ad (2) it follows that whe the probability that both firs will be operatig is large (i.e. π is sall), ore probability ass is placed o higher prices (ad vice versa). The ituitio for this is straightforward: the icetive to raise the offer price is checked by the likelihood of edig up as the higher pricig fir ad ot beig called ito operatio. Whe π is sall however, it is very likely that both firs will be despatched, i.e. there is a substatial probability that a fir will be operatig eve if it offers to supply oly at a very high price. Thus, for sall π both firs will ted to subit high bids. I particular, the followig is easily deostrated: li p c π =, ad (4) li p p π 0 = (5) (Note that the liit i (5) correspods to the case discussed i sectio 3., while the liit i (6) correspods to that discussed i sectio 3.2.) Fro (2) oe sees that the higher-cost fir s ixed strategy distributio has a ass poit at the highest adissible price, p. Furtherore, fro () ad (2) it follows that p p, p, F2( p) F( p), i.e. the high-cost fir s strategy profile first-order stochastically doiates the strategy profile of the low-cost fir. Thus, the high-cost fir will geerally (i.e. i 8
10 expected ters) subit higher bids tha the low-cost fir. We have ot bee able to fid a algebraic expressio for the probability that the high-cost fir subits a bid below that of the low-cost fir, but a lower boud ca be established by cosiderig the probability that p2 < p c. Whe π =/2, this reduces to e 2 Pr( p2 < p c) = [ l( + )] (6) 2 α where α p / c. If α = 5 (0), i.e. p is 5 (0) ties the argial cost of the high-cost fir, this probability equals 2% (27%). Thus, although the typical outcoe is that the high-cost fir prices above the low-cost fir, there is a potetially sigificat positive probability that the high-cost fir subits the lowest offer price ad thus becoes the oly operatig fir. Therefore we ay coclude that, as i the case discussed i sectio 3.2, the regulatory rule, as it is odelled here, is ot ex-post efficiet. We ow exted the aalysis of the duopoly case to the oligopoly odel uder the assuptio that firs have equal argial costs which, without loss of geerality, are oralized to zero. We cosider a syetric odel sice this is the oly case i which it is possible to characterize equilibria i ay detail. We assue that there is a positive probability that all uits will be called ito operatio, i.e. π N > 0, sice otherwise, give the syetry assuptio, oly the perfectly copetitive outcoe would be possible (see sectio 3.3 ad footote 8). We obtai the followig result: Propositio 6: Assue c = 0, =,..., N. The there exists a uique syetric ixedstrategy equilibriu for the gae G i which each player plays prices p [ p, p] accordig to the probability distributio F( p ) where F( p ) is the solutio to ad α( F( p)) F ( p) = Ω ( p, F( p)) (7) pβ ( F( p)) N α( q) π b( i ; N, q) i= i N β( q) πibq( i; N, q). i= b(; i N, q ) is the desity fuctio of the bioial probability distributio with paraeters N ad q, B(; i N, q) is oe ius the correspodig cuulative bioial probability distributio, ad B B/ q. Furtherore, F( p ) = 0, F( p ) =, ad p > 0. q Fro the uiqueess of the solutio to (7), it follows that p is decreasig i p. Note that Bq (; in, q) is always decreasig i i for sufficietly sall q. For larger q, Bq ( in ;, q) is icreasig (decreasig) i i for sall (large) i. bi ( ; N, q), as a fuctio of i, is shaped as a iverse V. Thus, reducig π i for sall i ad icreasig π i for larger i, typically icreases Ω( p, F( p)) for give p. Therefore oe would expect that p is larger the ore probability weight there is o π i for large i s. Oe has the followig liitig results: 9
11 li p = 0 (8) π li p π N = p (9) Oe questio of particular iterest is how the uber of suppliers i the arket will affect the price structure. There are i geeral two differet ways of aalyzig this. We could either thik of a situatio where, for a give level of dead, additioal firs are itroduced ito the arket, i.e. total capacity is icreased, or a situatio i which existig firs are split up ito saller uits, i.e. a give total capacity is divided betwee a larger uber of firs. If the questio of priary iterest is the orgaizatio of the deregulated structure of a existig idustry, the latter approach sees the ost atural ad this is what will be cosidered here. We aalyze a particular exaple, where π i = /N, by coparig the outcoe for differet N s. By substitutig for π i ad solvig (7), we have the followig: Result: Whe : c = 0, ad i: π i = / N, N p F( p) = l e N p (0) p N = pe, ad () p Ε p= e N Thus, both p ad Ε p are decreasig i N. That is, prices will ted to be lower o average i a ore frageted idustry. The ituitio for this ay be explaied as follows: By icreasig its offer price a fir reduces the probability that it will receive a positive payoff. O the other had, subittig a high offer price icreases, i expected ters, the syste argial price. The syste argial price effect, however, beefits the fir oly whe it happes to be the argial fir, a evet which is less likely the ore firs there are i the idustry. This ituitio also suggests that i the geeral odel with ulti-uit firs, prices will ted to be higher tha i the odel i which these sae uits act idepedetly. As idicated above, raisig the offer price of oe uit will have a exteral effect o other uits i that it icreases the expected syste argial price. A ower who cotrols ay uits will iteralize part of this exterality ad will thus have a additioal icetive to icrease their offer prices. I particular, this coordiatio icetive is stroger the ore uits a ower cotrols. It therefore sees reasoable to coclude that for a give uber of geeratig sets i the idustry, the syste argial price will be a decreasig fuctio of the uber of owers, or geerators cotrollig the sets, i.e. the idustry cocetratio ratio. N (2) 4. The UK Electricity Idustry I this sectio we preset epirical evidece o the biddig behaviour of the ajor geerators i the U.K. electricity idustry 0. Sice our odel of price copetitio i the 0 See Vickers ad Yarrow (99), Gree (99 a) ad Jaes Capel & Co. (990) ad Holes ad Plaskett (99) for descriptios of the ew UK electricity idustry. Vickers ad Yarrow (99) i 0
12 electricity spot arket is obviously too abstract ad siplified to be tested directly agaist the epirical evidece, our purpose here is rather to deostrate that the types of strategic behaviour we have idetified i our odel are at least cosistet with actual historical biddig behaviour, ad that our ost iportat coclusio for policy purposes, viz. that bids will ted to be well above geeratio costs, is supported by the evidece. 4.. Structure of the U.K. idustry There are three ai geeratig copaies i the syste for Eglad ad Wales: Natioal Power with approx. 52% of the geeratig capacity of the old Cetral Electricity Geeratig Board, PowerGe with 33% ad Nuclear Electric with 5%. I additio there are soe suppliers i Scotlad ad o the cotiet coected to the syste i Eglad ad Wales. These, however, are for the tie beig of ior iportace. Natioal Power ad PowerGe are private copaies (with the goveret as a iority shareholder), while Nuclear Electric is publicly owed. Nuclear Electric s productio is copletely based upo uclear power. It therefore fuctios etirely as a baseload producer ad its capacity is bid i at (virtually) zero. Thus there are i reality oly two sigificat strategic players i the electricity spot arket. The electricity spot arket has bee desiged very uch like a ulti-uit auctio. Each day the geeratig copaies subit bids to the Natioal Grid Copay which give the iiu prices at which they are willig to supply electricity fro each geeratig uit (or geset ). 2 A erit order is the costructed fro the bids, with sets raked i ascedig order, ad a despatch schedule deteried to atch supply ad predicted dead for each half-hour of the followig day (this is called the ucostraied schedule ). Syste argial price (SMP) the ajor copoet of the price paid to each despatched geset is deteried by the bid price of the argial despatched set. I ost half-hour periods (Table A periods), each despatched geset is paid, i additio to syste argial price, a capacity eleet, iteded to reflect the probability of loss of load, i.e. a power shortage. They ay also receive uplift payets. I Table B periods, whe there is expected to be a excess of ruig, partly-loaded capacity, capacity payets are ot ade, ad oly the icreetal bid prices are used to deterie syste argial price. There are further additioal coplexities to the syste. These have bee described elsewhere (c.f. NGC (99), Gree (99a), Gree (99b), Jaes Capel & Co. (990)), ad further details are provided i appedix B. At vestig, o March 3 990, cotracts for differeces were placed betwee the two ajor geerators ad the regioal electricity supply copaies coverig approxiately 85% of the geerators capacities. 3 These are optio cotracts uder which the differece betwee the spot, or pool price of electricity ad the cotract strike price is paid to the purchaser (i.e. the regioal electricity copay) o a specified uber of uits. These optio cotracts have sigificatly reduced the icetives of the geerators to bid pool prices above the level of particular provide a discussio of a broad rage of issues relevat for the evaluatio of the deregulatio of the UK electricity idustry. Gree (99b) clais to have foud bids to be at or ear geeratio costs o ost of the two ajor geerators' geeratig uits. However the recet report by the regulator (OFFER (99)) cites bids well above estiates of 'avoidable geeratio costs' as a cause of cocer i its attept to evaluate how well copetitio i the ew syste is workig. 2 Aogst a great deal of other iforatio - see appedix B ad NGC (99) for further details. 3 Details ay be foud i the share offer prospectus, Kleiwort Beso Ltd. (99); Powell (99) also cotais a discussio of the iportace of cotracts the ew British electricity idustry.
13 cotract strike prices, sice ay differece betwee the pool price ad cotract strike prices is paid back to the regioal supply copaies i the for of a differece payet o the aout of capacity cotracted for. Oe would therefore ot expect to see the type of ocopetitive biddig behaviour predicted by the theoretical odel irrored i the historical biddig data. 4 By March 3 99 however, a proportio of these cotracts had expired (approx. 5%), ad the rest are due to expire by March 993. With cotract coverage lowered to about 70% of the geerators capacities, strategic or ocopetitive biddig behaviour becoes ore likely, ad so oe expects to see i the first year of operatio of the ew syste, bids reflectig geeratio costs sice cotract strike prices were chose to represet expected argial geeratio costs ad after February/March 99 a possible chage i regie to ore aggressive, ocopetitive biddig. It is precisely this kid of chage i regie that we see reflected i the data to April 3 99, ad which is described here. I appedix B we describe i soe detail the operatio of electricity pool, as operated by the Natioal Grid Copay. We also provide iforatio cocerig our data sources ad our aalysis of the bid data. The iterested reader is referred there for this iforatio ad we tur here directly to a discussio of the results of our epirical ivestigatios Geerator biddig behaviour I the figures below, two differet ways of describig the biddig behaviour of Natioal Power ad PowerGe for the period fro July 990 to April 99 are depicted. Figures ad 2 show the actual bids 5 of the two ajor geerators for each level of output o particular weekdays of the year, i.e. the geerators supply curves. Figure 3 o the other had represets the average weekly bids of each geerator for geeratig sets of a particular size ad fuel type. The forer are thus sapshots of geerator bids at particular poits i tie, while the latter gives a loger-ter picture of geerator biddig behaviour over the period. Figure a shows the supply curves of both geerators o July Sice PowerGe s capacity is approxiately 64% of Natioal Power s, its supply curve becoes vertical uch earlier, at approxiately 2,000 MGWhs. Figures b ad c copare the geerators estiated cost curves to their supply curves. Sice the geerators cost curves were costructed by suig over all of their capacity, while o a give day soe capacity will be declared uavailable (due to aiteace, etc.), it is to be expected that the supply curves becoe approxiately vertical before the cost curves do. Apart fro this however, the geerators see to have bee biddig a very close approxiatio to their cost curves. 6 Thus durig the first 8 to 0 oths of the operatio of the ew syste, the evidece sees to suggest that the two ajor suppliers were biddig copetitively, i.e. at cost. The figures for 22 February 99 begi to idicate a differet patter. PowerGe s supply curve o this day lies uiforly above Natioal Power s (fig. 2a), with arked differeces i bids i 2,000 to 0,000 MGWh rage. I figures 2b ad 2c we see that PowerGe s supply curve also lies uiforly above its cost curve, while Natioal Power s supply curve is below its cost curve fro 0 to approxiately 0,000 MGWhs, the rage of output covered by its 4 vo der Fehr ad Harbord (992) odel the strategic icetives of the geerators with siple oeway ad two-way differece cotracts. 5 See appedix B for a discussio of how these were costructed. 6 Figures Ba, Bib ad Bc i appedix B show siilar coparisos for a early witer day, Noveber Agai the geerators' bids closely reflect their costs at all levels of output. 2
14 large, coal-burig sets (oce adjustets for availability have bee ade), ad thereafter is above it. 7 While these figures do ot provide eough data to allow us to reach ay fir coclusios, they do see to idicate a chage i the patter of biddig behaviour. I particular the figures for February idicate ore sophisticated patters of biddig behaviour tha siply biddig i at cost. This is cofired by a exaiatio of the weekly averages of bids o gesets of a particular size ad fuel type over the etire period fro May 990 to April I figure 3 average weekly bids for Natioal Power s ad PowerGe s large coal sets are show. 9 It is apparet that at aroud week 40 (early Deceber 990) both geerators altered their biddig behaviour sigificatly, ad i opposite directios. Natioal Power s bids o its large coal sets drop draatically fro a average of approxiately 4/MGWh to well below 0/MGWh i alost all weeks, ad its largest coal sets were occasioally bid i at below 2 /MGWh. PowerGe, o the other had, icreased its bids o its large coal sets by a average aout of approxiately /MGWh. This patter of bids reaied stable fro Deceber 990 to the ed of April As oted above, a possible explaatio for these results is that sice i the first part of this period cotract coverage for each geerator was approxiately 85% of their capacities, cotract strike prices put a dowward pressure o spot prices, while i the latter part, whe cotract coverage was less, this pressure was eased. However, cotracts oly started expirig right towards the ed of the period (March 3 99), while the chage of patter occurs i Deceber 990. A alterative explaatio is give by our odel. The first period ore or less coicides with the war seaso, ad based o the odel predictios we expect to observe prices closer to costs whe dead is low. Thus for dead levels below approxiately 27,500 MGWhs, which is typical durig war seasos, large coal sets are alost exclusively the argial sets which deterie syste argial price. Furtherore, sice i the war seaso dead ay fall very low at ight ad i early orig, there will be strog copetitio to be despatched (see the discussio i sectios 3. ad 3.2). I the colder seaso, however, dead is always so high that sets with low rak will ever becoe argial. Therefore, fro Deceber 990 owards, PowerGe s large coal sets were deteriig syste argial price over a large uber of periods, while Natioal Power s large coal sets were beig bid i low eough so that they were certai to be 7 The figures for April 8 99 i appedix B tell a siilar story. I figure B2a PowerGe's supply curve lies sigificatly above Natioal Power's up to approxiately 8000 MGWhs of output, ad is uiforly above its cost curve (fig. B2b). Natioal Power's supply curve for April 8 shows a siilar patter to that of February 22. The first 8000 MGWhs of output have bee bid i below cost, ad the reaider at offer prices above geeratio costs 8 I figure 5, week 5 is the week begiig May C5 idicates a coal set of greater tha 500 MGWhs ad C6 a coal set of greater tha 600 MGWhs. We cocetrate o coal sets sice for other sets the picture is blurred by the frequet chages i iput prices, i.e. prices of oil ad gas. 20 I appedix B figures B3 through B6 give soe further evidece. Figures B3 ad B4 copare bids o large coal sets to the geerators' average costs. As is evidet, Natioal Power's bids fell sigificatly below costs fro Deceber 990, while PowerGe's bids reaied above average costs ad icreased after Noveber 990. Fially, figures B5 ad B6 show the average weekly bids of Natioal Power ad PowerGe respectively over all coal sets ad all sets, for the etire period. It is clear that the picture for other sets is siilar to that for the coal sets, although the forer is soewhat blurred by the frequet chages i oil ad gas prices. 3
15 despatched. This type of biddig behaviour, the, has the flavour of the equilibria described i sectio A Alterative Payoff Rule As we have show i sectio 3, firs will i geeral choose bids greater tha their argial costs, ad thus the syste argial price will ted to exceed the argial costs of each of the operatig uits. Furtherore, sice less efficiet sets ay subit lower offer prices tha ore efficiet sets, iefficiet despatchig ay result. It is therefore a iterestig questio whether the regulatory rule ca be odified so as to iduce truthful revelatio of costs ad, as a result, efficiet despatchig. I this sectio we show that by extedig a isight o optial auctios due to Vickrey (96), such a odificatio is ideed possible. The gae G ay be iterpreted as a first-price, sealed-bid, ultiple-uit auctio with a rado uber of uits. I particular, the syste argial price is deteried by the offer price of the argial operatig set, ad thus a fir s bids will deterie the price received i the evet that oe of its sets is the argial operatig uit. The fudaetal isight of Vickrey (96) was that by akig the price received by a fir idepedet of its ow offer price, argial cost pricig ca be iduced as a doiat strategy for all firs. The reaso for this is that i such a set-up a fir ca oly ifluece its ow payoff to the extet that it affects the probability of beig called ito operatio. A fir will prefer to be operatig for all realizatios of dead such that its payoff is positive, ad will prefer ot to operate wheever its payoff is egative. Therefore, offerig to supply at a price equal to argial cost becoes a doiat strategy because it axiizes the probability of beig called ito operatio wheever the fir s payoff is expected to be o-egative. I a stadard Vickrey auctio, price is deteried by the argial usuccessful, i.e. ooperatig, player. To geeralize this result, we ust costruct a echais which is both icetive copatible ad idividually ratioal. This ca be doe by lettig the price paid to fir be deteried by the itersectio of dead with the residual (i.e. et of the capacity of fir ) supply curve. Cosider therefore a slight variatio of the gae G where the oly chage ivolves the payoff rule: The itersectio of the dead ad the supply curves deteries which uits will be called ito operatio. All operatig uits are paid fir-specific prices deteried by the itersectio of the dead ad the respective residual supply curves if such a itersectio exists, ad set equal to pˆ ax{ c } otherwise. Call this gae Ĝ. The the followig result holds: Propositio 7: The gae Ĝ has a uique doiat strategy equilibriu i which pi = c, =,2,..., N Reark: Other Nash equilibria typically exist. However, sice offerig to supply at argial cost (weakly) doiates all other strategies, we cosider this the atural focal poit, ad thus base our discussio solely o this equilibriu 2. I Ĝ, as opposed to G, despatchig is efficiet sice firs are always despatched i order of icreasig argial cost. Thus, our alterative regulatory rule leads to iiizatio of real geeratio costs I additio, sice all other strategies are weakly doiated, o other equilibria are strategically stable i the sese of Kohlberg ad Mertes (986) (while it is easy to check that the equilibriu i questio is stable); this is aother reaso for ot cosiderig the. 4
16 I additio to techical efficiecy, oe ight ask how total (expected) payets to the geerators copare i the two auctios. Deote by Ε C total expected payets i G, ad by ΕĈ total expected payets i Ĝ, respectively. It is easy to verify that reveue equivalece holds whe valuatios are draw fro the sae distributio (if we let ˆp = p ), as we would except fro the Reveue-Equivalece Theore (Vickrey (96), McAfee ad McMilla (987)). For exaple, i the syetric oligopoly odel cosidered i sectio 3.3, Ε C = Nπ p (sice players receive the sae payoff whichever of the prices i the support of the strategies they play, ad, i particular, the profit fro playig p is π N p ). O the other had, Ε Cˆ = Nπ ˆ N p (sice payets are zero whe soe firs do ot operate ad ˆp to each of the N firs otherwise). It turs out to be difficult to establish the sig of ΕC ΕCˆ i the geeral odel. However, i the duopoly case oe ca show that Ε C is ever saller tha Ε Ĉ. This is obvious i the cases discussed i sectios 3. ad 3.2. I the case aalyzed i sectio 3.3, Ε C ca be foud by cosiderig ϕ ( p) ad 2 ϕ ( p) as p p, where ( ) ϕ i p is the profit of fir i fro playig p, i =, 2, fro which it follows that Ε C = π Kc+ [ π ]2 p, where α αl +, whe π = α + e 2 K = 2π π π α α, whe π 2π α + απ 2 (3) α = p c π, ad απ π ad Ε Cˆ = πc+ [ π]2 p. Now, K, ad K = whe α = ad is icreasig i α. For a give α, K is axiized at π = /2 ad K e. We suarize the duopoly result i the followig propositio: Propositio 8: Whe N = 2, ΕĈ is a lower boud for Ε C. Such a iproved pricig perforace echoes the result i the optial-auctio literature that secod-price sealed-bid auctios yield higher payoffs to the auctioeer tha do first-price sealed-bid auctios (McAfee ad McMilla (987), Myerso (98), ad Maski ad Riley (989)). Thus, soe of the first-price/secod-price copariso results foud i the auctio literature exted to this settig as well. We coclude that (disregardig collusio ad log-ter cotracts) a istitutioal setup which iduces firs to ake offer prices equal to argial costs is perfectly possible eve π 2π 22 Efficiecy cosideratios i electricity supply idustries are cosiderably coplicated by the etwork characteristics of such idustries, ad beig able to rak geeratig uits accordig to productio costs is oly a ecessary coditio for short ru efficiecy. For a treatet of efficiecy ad optial pricig i electrical etworks, see Boh, Caraais, ad Schweppe (984). 5
17 whe firs are capacity-costraied, soethig which sees ot to have bee appreciated i the literature. As such, it also shows that applyig results fro stadard oligopoly odels (such as those foud i for exaple Kreps ad Scheika (983) ad Tirole (988), ch. 5) ca be isleadig as a descriptio of the outcoe of copetitio i the U.K. electricity arket. 6. Coclusio I this paper price copetitio i the deregulated wholesale arket for electricity for Eglad ad Wales has bee aalyzed as a first-price, sealed-bid, ultiple uit auctio. I doig so, we have deostrated that uder the existig istitutioal set-up there is likely to be both iefficiet despatchig ad above argial cost pricig, eve i the absece of collusio ad log ter cotracts. While these poits have bee argued elsewhere (see for istace Vickers ad Yarrow (99) or Gree (99a)), the arguets have bee largely iforal ad usually based upo stadard odels of oligopoly pricig, ad hece soewhat icoclusive. A ajor purpose of the preset paper has bee to address these issues i a foral odel specifically desiged to capture the essetial eleets of the ew electricity pricig syste i the Uited Kigdo. To our kowledge Newbery ad Gree (99) (see also Newbery (99)) is the oly other odel specifically desiged to study the biddig behaviour of the geerators uder the ew U.K. syste. 23 While our coclusios echo theirs i ay respects, our results have also cast soe doubt upo the type of equilibriu aalysis they have eployed, i.e. Kleperer ad Meyer s (989) supply fuctio equilibriu odel. This is because the equilibria foud uder the assuptio that firs subit sooth, i.e. cotiuously differetiable, supply fuctios do ot appear to geeralize to the case where supply fuctios ust be discrete step fuctios, eve whe the step-legth ca be ade very sall. Ideed, we have foud that for a wide rage of dead distributios pure-strategy (i.e. supply fuctio) equilibria will ot exist i this case. It is therefore reassurig to fid that Gree ad Newbery s ost sigificat coclusio for policy purposes, viz. above argial cost pricig, is also a property of the odel aalysed here, ad hece does ot deped upo the particular assuptios they ipose. I sectio 4 we have preseted epirical evidece o the biddig behaviour of the two ajor geerators i the U.K. idustry which has teded to support the coclusios of our theoretical odel. While ot claiig to have tested the odel i ay sese, we have bee able to deostrate that at the very least the odel is ot cotradicted by the epirical evidece, ad that the biddig strategies of the geerators ay be viewed, at least i part, as coforig to the types of strategies described by the theory. While our epirical coclusios, i particular bids greater tha geeratio costs, do ot agree with those of Gree (99b), they have bee cofired elsewhere, sigificatly i the recet report of the regulator OFFER (99). There thus ow exists serious evidece, both theoretical ad epirical, that copetitio i the ew electricity supply idustry for Eglad ad Wales ay ot be achievig the purposes for which it was origially desiged, i.e. the efficiet geeratio of electricity, sold at copetitive prices to cosuers. 23 While the odel of Bolle (990) is very close that of Gree ad Newbery (99) i ay respects, its purpose is soewhat ore geeral. 6
18 While the aalysis preseted here would appear to be useful i providig a fraework for studyig pricig behaviour i the deregulated U.K. electricity idustry, the iportace of our coclusios is liited by the extet to which they do ot take ito accout opportuities for collusive behaviour betwee the geerators, or the effects of log-ter cotracts betwee suppliers ad purchasers (or third parties). These probles call for further research I a copaio paper - vo der Fehr ad Harbord (992) - the odel of the preset paper is exteded to accout for the presece of log-ter cotracts. 7
19 8
20 9
21 20
22 2
23 22
24 23
25 24
26 Refereces Boh, R.E., M. Caraais ad F. Schweppe (984) Optial Pricig i Electrical Networks Over Space ad Tie, The Rad Joural of Ecooics, vol. 5, 3, pp Bolle, F. (990) Supply Fuctio Equilibria ad the Dager of Tacit Collusio: The Case of Spot Markets for Electricity, Upublished, Uiversität zu Köl. Bradeburger, A. (990) Kowledge ad Equilibriu i Gaes, Upublished, Harvard Busiess School. vo der Fehr, N.-H. M. (990) A Auctio Approach to the Study of Spot Market Copetitio i a Deregulated Electricity Idustry, Discussio Papers i Ecooics, o. 60, Nuffield College. vo der Fehr, N.-H. M. ad D. Harbord (992) Spot Market Copetitio ad Log Ter Cotracts The Case of a Deregulated Electricity Idustry, Upublished. Gree, R.J. (99a) Reshapig the CEGB: Electricity Privatizatio i the UK, Utilities Policy, April, pp Gree, R.J. (99b) Biddig i the Electricity Pool, Upublished, Departet of Applied Ecooics, Cabridge, UK. Gree, R.J. ad D. Newbery (99) Copetitio i the British Electricity Spot Market, Upublished, Departet of Applied Ecooics, Cabridge, UK. Hausch, D.B. (986) Multi-Object Auctios: Sequetial vs. Siultaeous Sales, Maageet Sciece, vol. 32, 2, pp Holes, A. ad L. Plaskett (99) The New British Electricity Syste, Special issue of Power i Europe, Fiacial Ties Busiess Iforatio Service, Lodo. Jaes Capel & Co. (990) The Electricity Idustry i Eglad ad Wales. Lodo. Kleiwort Beso Ltd. (99) Natioal Power ad PowerGe: The Geeratig Copaies Share Offers. Lodo. Kleperer, P. ad M. Meyer (989) Supply Fuctio Equilibria i Oligopoly Uder Ucertaity, Ecooetrica, vol. 57, 6, pp Kohlberg, E. ad J.F. Mertes (986) O the Strategic Stability of Equilibria, Ecooetrica, vol. 54, 5, pp Kreps, D.M. ad J.A. Scheika (983) Quatity Precoitet ad Bertrad Copetitio Yield Couot Outcoes, Bell Joural of Ecooics, vol. 4, pp Lodo Ecooics Ltd. (990) A Buyer s Guide to Electricity. Lodo. MacAfee, R.P. ad J. McMilla (987) Auctios ad Biddig, Joural of Ecooic Literature, vol. XXV, pp Maski, E.S. ad J. Riley (989) Optial Multi-Uit Auctios, i The Ecooics of Missig Markets, Iforatio, ad Gaes (ed. F. Hah), pp Oxford: Oxford Uiversity Press. Milgro, P.R. ad R.J. Weber (982) A Theory of Auctios ad Copetitive Biddig, Ecooetrica, vol. 50, 5, pp Myerso, R.B. (98) Optial Auctio Desig, Matheatics of Operatio Research, vol. 6, pp
27 NGC Settleets Ltd. (99) A Itroductio to the Iitial Pool Rules. Birigha. Newbery, D.M. (99) Capacity-Costraied Supply Fuctio Equilibria: Copetitio ad Etry i the Electricity Spot Market, Upublished, Departet of Applied Ecooics, Cabridge, UK. Office of Electricity Regulatio (OFFER) (99) Report o Pool Price Iquiry. Deceber. Padilla, J. (990) Mixed Pricig Oligopoly With Cosuer Switchig Costs, Upublished, Nuffield College. Powell, A. (99) Cotractig i the New British Electricity Market: A Policy Discussio, Upublished, Quee Mary ad Westfield College, Uiversity of Lodo. Shiloy, Y. (977) Mixed Pricig i Oligopoly, Joural of Ecooic Theory, vol. 4, pp Tirole, J. (988) The Theory of Idustrial Orgaizatio. Cabridge, Massachusetts: The MIT Press. Varia, H.R. (980) A Model of Sales, Aerica Ecooic Review, vol. 70, 4, pp Vickers, J.S. ad G. Yarrow (990) The British Electricity Experiet, Ecooic Policy. Vickrey, W. (96) Couterspeculatio, Auctios, ad Copetitive Sealed Teders, Joural of Fiace, vol. 6,, pp
28 Appedix A: Proofs Proof of propositio : Assue by way of cotradictio that ore tha oe fir has sets which with positive probability will becoe the argial operatig uit, ad, thus deterie the syste argial price. The, sice the support of the dead distributio is a iterval, there ust exist two sets with rak r ad r +, for soe r {,2,..., M }, belogig to two differet firs, both of which will becoe the argial operatig uit with positive probability. Call the fir that ows the set raked r fir ad the other fir ˆ. Note that sice firs ca secure o-egative profits by biddig at argial cost, oe ust have r r p c ad p + r r c ˆ. p < p + caot be part of a equilibriu sice by icreasig the bid r of set r towards p +, fir will icrease its profit. Icreasig the bid i this a way does ot affect the rakig but does icrease the syste argial price i the evet that the r th set r r becoes the argial operatig uit. p = p + caot be a equilibriu either, sice if c cˆ, at least oe fir ca icrease its profit by udercuttig. For exaple, if c < cˆ, r r+ p = p > c by the arguet above, ad thus fir ca icrease its profit by udercuttig fir ˆ by a arbitrarily sall aout, thereby strictly icreasig its chace of beig called ito operatio without affectig the (expected) syste argial price. QED. Proof of propositio 2: I ay equilibriu fir will deterie the syste argial price with probability oe. Assue otherwise, i.e. that fir has bid i so ay of its sets at high prices that soe of the sets of fir 2 have a positive probability of becoig the argial operatig uit. Sice fir 2 ca secure o-egative profits by biddig at argial cost, fir 2 will ot bid i these sets below c 2. But the fir ca icrease its profit by udercuttig such fir 2 sets by soe arbitrary aout, sice this icreases the (expected) aout supplied by fir without affectig the syste argial price i ay evet. Next we show that that the syste argial price will ot exceed c 2. Assue otherwise. The sice fir always deteries the syste argial price, it ust have bid i sets at a price greater tha c 2. But the fir 2 ca icrease its profit by udercuttig fir. Lastly, sice fir s profit is icreasig i bids o the sets that ay becoe the argial operatig uit, the oly cadidate for equilibriu ivolves these beig bid i at c 2. (This will be a equilibriu if oe iposes the tie-breakig rule that if firs tie at c 2, fir is despatched with probability.) QED. Proof of propositio 3: Fro propositio it follows that oly sets of oe fir will deterie the syste argial price. Without loss of geerality, assue that these belog to fir 2. The sice the profits of fir 2 are icreasig i its ow bids, all these sets will be bid i at p. Furtherore, fir ust bid i all its sets at offer prices strictly less tha p. Now, for this to be a equilibriu, fir ust bid low eough so that fir 2 caot icrease its profit by udercuttig. Fir biddig at or below fir 2 s argial cost is sufficiet to guaratee this. (Sice fir ever becoes the argial fir, it will be willig to do so eve if c2 < c.) QED. Before cosiderig the proofs of propositios 5 ad 6, we derive soe properties of the geeral oligopoly odel s ixed-strategy equilibria whe firs have equal capacities ad 27
29 dead is distributed discretely as assued i the ai text ad uder the assuptio that ay uber of uits will be called ito operatio with positive probability. We start by provig that o fir subits offer prices below its argial cost. We the show that p is always part of soe player s strategy. Lastly, we prove the followig two results: There ca be o ass poit at ay price i a player s ixed strategy, with the possible exceptio of p, i.e. o price less tha p is played with positive probability. Ad if p is the sallest price i the support of ay player s strategy, the all prices p [ p, p) are i the support of at least two players strategies. 25 Lea : (Lower bouds for the offer prices) I ay equilibriu ad for all =,2,..., N, p ax{ c, c2}, (reeber that c 2 is the argial cost of the secod-ost efficiet fir). The result is rather obvious ad follows fro the observatio that a player, by offerig a price below his argial cost, has a positive probability of obtaiig a o-positive payoff which could be avoided by choosig a higher offer price. Fro this, ad the fact that o player will choose a offer price below ad bouded away fro the lowest price ever chose by ayoe else, oe cocludes that the syste argial price will ot fall below the argial cost of the secod-ost efficiet fir. Lea 2: (Upper support) If π N > 0, at least oe player will have p as part of his equilibriu strategy. Proof: Let ˆp be the highest price i the support of ay player s strategy ad assue that ˆp < p. Let be oe of the players who has ˆp as part of his strategy (i particular, if oe player plays ˆp with positive probability, let be hi). Playig ˆp yields hi a expected payoff of ˆ pπ N while playig p yields pπ ˆ N > pπ N. QED. Lea 3: (No iterior ass poits) I equilibriu o offer price p < p will be played with positive probability by ay player. Furtherore, if p is played with positive probability by soe player, o other player will play p with positive probability. Proof: We start by showig that if ˆp > c2 is (believed to be) played with positive probability by soe player, ˆp is ot played with positive probability by ay other player. Let pˆ > ax{ c2, c ˆ} be a offer price which is played with positive probability by a player ˆ ad assue that oly ˆ plays ˆp with probability greater tha zero (the arguet below exteds i a straightforward aer to the case where ore tha oe player plays ˆp with positive probability). The if a player, for which c ˆ < p (by lea such a player exists), plays ˆp, a eleet i his expected payoff is 25 Note that for ay equilibriu (ixed) strategy profile there exist ifiitely ay (geerically) equivalet strategy profiles which differ oly o sets of easure zero. We do ot ake ay distictio betwee such strategies. 28
30 where π Pr( p p) Pr([ p p] [ p p] p p)[ p c ]{ } (A.) N i ˆ ˆ ˆ ˆ 2 ˆ ˆ ˆ = < i > i = + π + + i+ i= 2 Pr( p < pˆ p = pˆ) Pr( p > pˆ p = pˆ) 0 ˆ N + ˆ This is the expected payoff i the evet that there is a tie at ˆp. Give a tie, player is raked below ˆ with probability ½ ad gets a payoff of ˆp wheever he or ˆ is the argial fir. With probability ½, is raked above ˆ ad receives ˆp oly whe he is the argial fir. If plays ˆp ε for soeε > 0, the i the liit, as ε 0, the correspodig eleet i his expected payoff is N ˆ ˆ ˆ ˆ 2 ˆ ˆ ˆ = < i > i = + + i + i+ i= Pr( p p) Pr([ p p] [ p p] p p)[ p c ]{ π π } (A.2) The differece betwee (A.) ad (A.2) is that the latter correspods to the case where is always raked below ˆ wheever ˆ plays ˆp sice ε > 0, p ˆ ˆ = p ε < p. All other eleets i the su which costitute player s expected payoff fro playig ˆp ad ˆp ε, respectively, ca be ade arbitrarily close by choosig ε sall eough. Thus, there existsε > 0, such that playig ˆp ε yields a strictly higher payoff tha playig ˆp ad, therefore, playig ˆp with positive probability caot be part of a equilibriu strategy for player. We ext show that if ˆp < p is played with positive probability by soe player ˆ, ay offer price exceedig ˆp by ay other player will be bouded away fro ˆp. Cosider the payoff to player who plays ˆp + ε for soeε > 0. The i the liit, asε 0, the eleet i his expected payoff correspodig to (A.) is N Pr( p = pˆ) Pr([ p < pˆ] [ p > pˆ] p = pˆ)[ pˆ c ] π (A.3) ˆ i+ i+ 2 ˆ i+ i= The differece betwee this ad (A.) is that is always raked above ˆ wheever ˆ plays ˆp, sice for ε > 0, p ˆ ˆ = p+ ε > p, i.e. there is ever a tie. All other correspodig eleets i the su which costitutes player s expected payoffs fro playig ˆp ad ˆp + ε, respectively, ca be ade arbitrarily close by choosig ε sall eough. Thus there exists ε > 0 such that for all ε (0, ε ), playig ˆp yields a strictly higher payoff tha playig ˆp + ε, ad therefore ay offer price which fors part of s strategy ad is ot less tha ˆp, ust exceed ˆp + ε. Sice the above result ust hold for all ˆ, it follows that player ˆ would gai by playig ˆp + ε istead of ˆp, for soe 0 < ε < ε. This cotradicts the assuptio that ˆp is part of his equilibriu strategy ad copletes the proof. QED. Lea 4: (No holes ) If p is part of ay equilibriu strategy, the for ay iterval S ( p, p], p S are part of at least two players equilibriu strategies. 29
31 Proof: We first show that there caot exist ay iterval S ( p, p] such that o player has eleets i S as part of his strategy. Assue, for a cotradictio, that such a iterval S exists, ad let p if = if{ p p S} ad p sup = sup{ p p S}. The, for the player ˆ with pif ε, for soeε > 0, as part of his strategy, playig ˆp = p ˆ if + ε S istead of pif yields i the liit asε 0 a icrease i expected payoff of ε where N i= N i= π Pr([ p < pˆ] [ p > pˆ] p = pˆ) ˆ ε i i+ i+ ˆ = π Pr([ p < pˆ] [ p > pˆ] p [ p, p ]) ˆ ε > 0 i i+ i+ ˆ if sup (A.4) Pr([ p < pˆ] p [ p, p ]) ˆ = Pr([ p > pˆ] p [ p, p ]) 0 ˆ if sup ε i+ ˆ if sup A cotradictio. By applyig a siilar arguet we ca show that it is ot possible that oly oe player has eleets i S as part of his equilibriu strategy. If ˆ is the oly player with ˆp = p ˆ sup ε S as part of his strategy, the by playig p sup + ε, ε > 0, istead of ˆp, this yields i the liit asε 0 a icrease i his expected payoff equal to that i (A.4). QED. Proof of propositio 5: Fro leas -4 we kow that there is at ost oe player who plays p with positive probability (this will be player 2, a result which follows fro the observatio that the arguet below leads to a cotradictio if oe akes the assuptio that fir plays p with positive probability), that o player plays ay price p < p with positive probability, ad that if p is the sallest price played by ay player, both players ixed strategies have full support o p, p. The, 2 s expected payoff fro playig p is [ π ][ ] Φ ( p) = p c (A.5) 2 Prices below c caot be i the support of his equilibriu strategy sice 2 2 [ ][ ] [ ][ ] p c: Φ ( p) Φ ( c) = π *0+ π Ep c < π p c (A.6) Thus, the sallest offer price which is i the support of 2 s strategy ust be strictly greater tha his argial cost. Furtherore, it is clear that if p is the sallest price i the support of 2 s strategy, the ever offers aythig less tha p, ad vice versa. Let F( p) Pr( p p) ad f ( p) F ( p). The the expected payoff to player 2 of playig p p, p is p Φ ( p) = π F( p) p c + π F( p) p c + π ρ c f ( ρ) dρ [ ][ ] [ ] [ ] [ ] [ ] 2 p (A.7) 30
32 The first two eleets i the su are the expected payoff whe fir 2 is the argial fir, i.e. deteries the arket price, ad oe ad two firs are active respectively. The third eleet is the expected payoff give that both firs are called ito operatio ad fir 2 has the lower price. Fro (A.7) { [ ]} [ π] Φ 2( p) = π f( p) p c + 2 F( p) (A.8) Usig the fact that i equilibriu p p, p), Φ 2 ( p) = 0, oe gets f ( p) 2 π F( p) π p c p c = This ad the fact that F ( ) p =, iply the followig uique solutio to (A.9): (A.9) p c l e whe π = p c 2 F ( p) = 2π π p c π π whe π 2π p c + 2π 2 (A.0) p p c + c whe π = e 2 = π π 2π [ p c] + c whe π π 2 (A.) where l( e). A siilar reasoig gives p l e whe p < p ad π = p[ e ] c 2 F2 ( p) = 2π π π p π + whe p < p ad π 2π p+ [ απ ] c 2π 2 F ( p ) =, 2 QED. π where απ π 3 π 2π
33 Proof of propositio 6: Note that it follows fro lea 2 that o syetric ixed-strategy equilibriu ca cotai ass poits at ay offer price. Furtherore, fro leas 3 ad 4, it follows that i ay syetric ixed strategy equilibriu, if p is the sallest offer price, all p [ p, p] are i the support of the players strategies. Let Φ ( p) be the expected payoff to fir of choosig offer price p. The oe has the followig where N, (A.3) Φ ( p) = π {Pr([ p < p] [ p > p] p = p) p+ ρdf ( ρ)} i i+ i+ i i= p N N F ( p) = Pr( p ) i p p i p = q q j= i j j N j [ ], i,..., N i ( p < p p ) [ ] i > p p i = p = q q + Pr i p N = N (A.4), i =,..., N (A.5) q F( p) Pr( p p), k (A.6) The first part of each eleet of the su i (A.3) represets the payoff i the evet that fir is the argial supplier, while the secod part is the payoff give that fir supplies but is ot the argial operatig uit. The su is over all possible dead realizatios. I a ixed strategy equilibriu, it (geerically) ust be the case that for ay two poits ˆp ad p i the support of the players strategies, Φ ( pˆ ) =Φ ( p ). Thus, where q f( p) F ( p), ad k 0 =Φ ( p) = α( q) pq β ( q) (A.7) N α( q) πib( i ; N, q) (A.8) i= N β( q) πibq( i; N, q) (A.9) i= N i bi ( ; N, q) q q i [ ] N N BiN (;, q) q q j= i j bin (;, q ) is the desity fuctio of the bioial probability distributio with paraeters N ad q, while B(; inq, ) is oe ius the correspodig cuulative bioial probability 32 N i, ad (A.20) j N j [ ]. (A.2)
34 distributio. Note that for 2 q 0,, b( ; N, q) 0 for all i, with strict iequality for at least oe i, ad B (; i N, q) 0 q 0,, Cosider the differetial equatio N ad [ ) >. Thus, [ ) q α ( q) > 0, ad (A.22) β ( q) > 0. (A.23) Defie α( q) q' = Ω ( p, q) > 0. (A.24) pβ ( q) { α [ ]} = ax ( ) 0, > 0, (A.25) K q q { α [ ]} K = i ( q) q 0, > 0, (A.26) { β [ ]} = ax ( ) 0, > 0, ad (A.27) 2 K q q { β [ ]} Sice Ω( p, q) ad Ω ( p, q) are cotiuous for p > 0ad q 0 q K2 = i ( q) q 0, > 0. (A.28) [ ), ad q 0, : Ω( p, q) K p (A.29) where K = K / K2, for every p 0 (A.24) has a uique solutio F( p ) where F( p ) = 0 (see Sydsæter (984), p. 25). Sice the solutio F( p ) is cotiuous i p ad f( p) = q > 0, there exists a p < p such that F( p ) =. Next, oe has that where K K K 2 = / < [ ] q 0, : Ω( p, q) K log( p/ p ), (A.30). Therefore, p = F( p) K dp= K log( p/ p ) (A.3) p p fro which it follows that p > 0. QED. Proof of propositio 7: Observe that the payoff to a particular operatig fir is idepedet of its ow offer price. Fix the strategies of firs, ad cosider the best respose of fir. Let oe of fir s offer prices be p i = p. First, for realizatios of dead for which set i of fir is operatig ad gets positive payoff, i.e. p < P ad P> c, the fir would have bee equally well off offerig pi = c. Secod, for realizatios of dead for which set i is 33
35 ot operatig ad the syste argial price exceeds its argial cost, i.e. p P> c, fir would have bee strictly better off offerig pi = c. For realizatios of dead such that the syste argial price is below its argial costs, fir is at least as well off by offerig pi = c as ay other price. Thus, pi = c is a (weakly) doiat strategy for fir. QED. Referece Sydsæter, K. (984) Mateatisk aalyse, vol. 2, Uiversitetsforlaget, Oslo. 34
36 Appedix B: The U.K. Electricity idustry I this appedix we describe i ore detail tha i the text the daily operatio of the pool by the Natioal Grid Copay, ad our aalysis of the geerators bid ad cost data. We also provide additioal figures presetig evidece o the biddig behaviour of the geerators. B. Operatio of the Pool ad Geerator Bids Much of the detail provided here ay be foud i the NGC publicatio, A Itroductio to the Iitial Pool Rules, March 99, available fro NGC Settleets Ltd.. Other sources of iforatio are Schedule 9 to the Iitial Settleet Agreeet (as aeded), which cotais the text of the Iitial Pool Rules as of July 990 (copies are available fro NGC Settleets Ltd.), the geerators share offer prospectus (Kleiwort Beso Ltd. (99)), Holes ad Plaskett (99), Jaes Capel & Co. (990) ad Lodo Ecooics Ltd. (990). O March a ew electricity arket was established i Eglad ad Wales for the tradig of electricity betwee geerators ad suppliers (the regioal electricity copaies). Uder the ew tradig arrageets electricity is sold by the geerators ad purchased by the regioal electricity copaies ad large (idustrial) cosuers, through the pool at prices deteried by the rules which gover the arket s operatio (the Iitial Pool Rules). At the sae tie the Natioal Grid Copay (NGC), as operator of the trasissio syste (the Grid Operator), seeks to schedule ad despatch geeratig uits, subject to certai techical restrictios, to eet dead (icludig a argi for reserve). This is doe pricipally o the basis of a erit order costructed fro the geerators offer prices ad availability declaratios for their geeratig uits (gesets). I the absece of techical costraits, gesets with the lowest offer prices are despatched first. It is iportat to uderstad that the pool is ot a place, but a echais to allow the orderly tradig of electricity; i particular it does ot either purchase or sell electricity o its ow accout. A coputerised syste (the Settleet Syste, which icludes the coputer progra Settleet GOAL) is used to calculate prices ad to calculate payets due uder the pool tradig arrageets. The Settleet Syste Adiistrator is NGC Settleets Ltd., a subsidiary of the NGC. All electricity geeratig uits of greater tha 00 MW (egawatts) are despatched through the pool by the grid operator. Saller gesets ay opt to be cetrally despatched, or ay operate idepedetly of the Grid Operator. Practically all electricity cosued i Eglad ad Wales is supplied fro cetrally despatched gesets. The arket for electricity created by the pool tradig arrageets establishes prices for the sale ad purchase of electricity for each half-hour period (a Settleet Period) of each day. The pricipal copoet of geerators reveues fro the pool is the Pool Purchase Price (PPP), while the price paid by suppliers is the Pool Sellig Price (PSP). PSP is derived fro PPP, plus ay other payets ade to geerators (kow as Uplift Payets), such that o ay give day pool reveues exactly balace. The geerators subit their bids for ay give day by 0:00 A.M. o the previous day. Fro their price offers ad capacity availability declaratios, a otioal geeratio, i.e. despatch schedule (the Ucostraied Schedule), is calculated usig forecasts of the followig days deads. Gesets are scheduled to eet forecasted dead plus a argi of reserve, ad PPP for each half-hour is calculated. The pool purchase price PPP cosists of two copoets: 35
37 Syste Margial Price (SMP) ad a Capacity Eleet. SMP for ay Settleet Period (halfhour of the day) is deteried by the offer price of the ost expesive geset to be despatched i the Ucostraied Schedule. This geset is kow as the Margial Geset. Subject to certai costraits, cheaper gesets are always despatched before ore expesive gesets. SMP is deteried by the costs of the Margial Geset over its period of ruig i the Ucostraied Schedule. The capacity eleet of PPP is a payet which is iteded to provide a icetive for capacity to be ade available to the syste, particularly at ties of high dead. It is deteried usig the probability of loss of load (LOLP), i.e. the probability that dead will exceed the available geeratig capacity of the syste, as calculated by Settleet GOAL, ad by the Value of Lost Load (VLL), a paraeter set i advace. 26 PPP is the calculated as: PPP = SMP + LOLP(VLL SMP) (B.) VLL is take as a upper boud for SMP: that is, SMP is the cost of the Margial Geset uless these costs exceed VLL i which case SMP = VLL. I the Ucostraied Schedule each day is divided ito two types of periods. I Table B periods (orally periods of low dead), whe there is a excess supply of scheduled capacity (because it is uecooic or techically ifeasible to tur off ad o certai geeratig uits withi a short period of tie), despatched gesets are paid oly SMP, i.e. o capacity eleet is paid; i all other periods (kow as Table A periods), despatched gesets receive the full pool purchase price (PPP). The vast ajority of Settleet Periods durig a day are Table A periods. 27 By 4:00 P.M. the day ahead, the value of PPP for each half-hour, as deteried i the ucostraied schedule, is ade public. This perits large (idustrial) cosuers of electricity to adjust their deads, ad thus provides for, at preset, a sall aout of dead price-resposiveess. There are at preset approxiately 000 such custoers i Eglad ad Wales. The operatioal (despatch) schedule is calculated by the Grid Operator for actual operatio o the day, takig ito accout various syste costraits, ad the iitial ruig coditios of gesets, usig a coputer progra idetical to Settleet GOAL. The operatioal despatch schedule will i geeral call ito operatio gesets which were ot i erit, but which for reasos of syste stability eed to be ru. These gesets are paid their bid price rather tha SMP, as well as the capacity eleet. These additioal payets to geerators, over ad above PPP, for the larger part of Uplift payets, which are the icluded i the pool sellig price. 28 Geerator offer data cosist of price offer data ad declaratios of available capacity, as well as a set of operatig characteristics, for each geset. The price offer data iclude, for each geset, two fixed copoets, Start Up Price ad the No Load Heat Rate, which are paid idepedetly of the level of geeratio, plus three icreetal prices, or Icreetal Heat Rates (i additio there is also a Maxge Price for geeratio above oral availability). The icreetal prices are separated by two elbow poits. The availability declaratios state the MWh quatity which a geset is willig to supply, ad a tie fro which it applies. I additio gesets are able to place coditios o their ruig (i.e. whether, ad how ofte 26 VLL for 990/9 was set at 2000/MWh (MWh = a egawatt hour) 27 OFFER (99) cotais a discussio of the relative frequecy of Table A vs. Table B periods. 28 OFFER (99) describes the cotroversy which ow surrouds this practice, because of the potetial for its abuse by the geerators. 36
38 they are able to shut dow) ad the output levels at which they are ru, as well as certai other restrictios o their operatio (ot detailed here). Each geset s price offer is fixed by 0:00 A.M. the previous day; however, capacity declaratios ay be revised ( redeclared ) ay tie prior to the ruig. A Revised Ucostraied (despatch) Schedule is deteried o the basis of the geerator s re-declared availabilities. However, SMP is calculated oly oce (for each half-hour) o the basis of the origial offer data. 29 Gesets declared (or redeclared ) available, but ot scheduled for geeratio (i ay halfhour) i the Revised Ucostraied Schedule, are paid the Capacity Eleet of SMP, odified to take accout of their bid price if this is greater tha SMP. The bid price for a geset is the average price at which that geset would provide electricity whe operatig at its Declared Availability, icludig the price of oe start-up. (Gesets scheduled for reserve i the Revised Ucostraied Schedule are paid PPP less the geset s icreetal cost to reflect the cost savig brought about by operatig at a lower level of output.) Geset Price (the geset s bid price ) is the price used i the deteriatio of SMP. I Table B periods it is siply (oe of) the icreetal price(s) of each geset (depedig upo its level of scheduled operatio); i Table A periods the fixed copoets of the geset s price offer are also icluded. Start Up Price ad No Load Heat Rates are allocated across all Table A periods for that period of cotiuous ruig i which the start-up occurred. These are added to the icreetal price to deterie a /MWh geset price. To take a exaple, a geset with a Start Up Price of 000, a No Load Price of 50/h, a Icreetal Price of 5/MWh ad a offered availability of 200 MW, which is scheduled for.5 hrs. of Table A ruig (we igore Table B periods), has a bid price of: ( (.5h 50 / h ))/300MWh + 5/MWh = 8.58/MWh = Geset Price. The Geset Price of the argial geset i ay half-hour is the take as Syste Margial Price (SMP). Oly flexible gesets, i.e. gesets which ay be tured off ad o, ad which satisfy certai other coditios, are eligible to deterie SMP. B.2 Aalysis of Bid Data Bid data for the geerators are ade available by the NGC. I exaiig bid data it is ot possible to replicate the operatio of the Settleet GOAL progra to arrive at a Geset Price, sice for that the scheduled operatio of each geset ust be kow. 30 It is therefore ecessary to use a estiate of the oral ruig hours of each type ad size of geset to arrive at a approxiatio of Geset Price. We have doe this usig the followig table (Table ), which cotais rough estiates of average ruig ties. 29 There is serious potetial for abuse i this syste. Available, but o-despatched, gesets receive a capacity payet (see below). By iitially declarig capacity uavailable, a geerator ca icrease SMP ad the Capacity Eleet (by icreasig LOLP); by later redeclarig the capacity available the redeclared gesets will receive (at least) the capacity payet, ad if their origial bid prices were low eough, SMP as well. I additio all of the geerator s other (available or despatched) gesets receive the higher payets as well. OFFER (99) has docueted the recet aipulatios of this echais by PowerGe. 30 I our aalysis of bid data we assue that all periods are Table A periods. 37
39 Table : Average ruig ties. Coal Sets: Oil Sets: 6 hrs. < 00 MW: 4 hrs. Coal/Oil Sets: 4 hrs. < 200 MW: 6 hrs. Coal/Gas Sets: 4 hrs. < 300 MW: 8 hrs. Gas Turbie Sets: 0.5 hrs. < 400 MW: 0 hrs. < 500 MW: 2 hrs. > 500 MW: 6 hrs. Usig the above figures a Geset Price ( bid ) for each geset ay the be calculated as follows: Geset Price ( /MWh) = {Start Up Price}/{(hours of oral ruig) (available capacity)} + {No Load Heat Rate}/{available capacity} + {(Capacity Weighted Average) Icreetal Heat Rate} This is the ethod we have used to calculate the bids depicted i figures to 5 i the text. Gree (99b) uses a slightly cruder ethod to calculate bid prices; OFFER (99) also icludes calculatios of the geerators bid prices, but the ethodology used is ot described i detail. B.3 Geerator cost data Sice privatisatio there has bee o publicly available geerator cost iforatio. OFFER (99) otes the difficulty, iforatioal probles aside, of arrivig at a uique correct estiate of avoidable geeratio costs for the two ajor geerators, give the ature of the fuel supply cotracts they have had i place sice vestig, which typically iclude a usttake eleet. I particular the geerators cotracts with British Coal, which supplies alost all of the fuel for their coal burig sets 3, are ust take cotracts, which akes the avoidable (i.e. opportuity) costs of ay of their coal burig statios virtually zero i ay periods. These issues aside, geeratio costs ca i priciple be calculated fro kowledge of statio theral efficiecies ad their fuel iput costs, with a appropriate adjustet for trasportatio costs. (This is doe i Gree (99b); it is also the ethod used by OFFER (99)). Theral efficiecies were published by the old Cetral Electricity Geeratig Board. Apart fro adjustig for statios which have sice bee decoissioed, these reai 3 See the share offer prospectus for details; also Holes ad Plaskett (99). 38
40 reasoably accurate. Fuel iput costs are ost appropriately take to correspod to world arket prices (plus trasport costs). This is true despite the geerators cotracts with British Coal, which fixes a coal price well above its world arket value, because the geerators cotracts for differeces with the regioal electricity copaies iclude a British Coal payet which effectively reiburses the for ay differece betwee the two prices of coal. 32 Accordigly this is the ethod we have followed here. Theral efficiecies (i percetages) have bee take fro the Cetral Electricity Geeratig Board s statistical yearbooks for 987/88. Fuel iput costs (i s per gigajoule) have bee take fro various sources. (These data are available o request fro the authors.) Give these, geeratio costs ay be calculated as follows. Oe gigajoule equals approx egawatt hours of eergy. Thus a price expressed i /GJ ca be coverted to /MWh by dividig by Multiplyig the fuel iput cost ( /MWh) by oe over the theral efficiecy (ties 00), yields geeratio costs i /MWh. 32 See the share offer prospectus, Holes ad Plaskett (99), or Jaes Capel & Co. (990) for further details. 39
41 40
42 4
43 42
44 43
45 44
46 45
47 46
48 47
49 48
50 49
CHAPTER 4: NET PRESENT VALUE
EMBA 807 Corporate Fiace Dr. Rodey Boehe CHAPTER 4: NET PRESENT VALUE (Assiged probles are, 2, 7, 8,, 6, 23, 25, 28, 29, 3, 33, 36, 4, 42, 46, 50, ad 52) The title of this chapter ay be Net Preset Value,
In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008
I ite Sequeces Dr. Philippe B. Laval Keesaw State Uiversity October 9, 2008 Abstract This had out is a itroductio to i ite sequeces. mai de itios ad presets some elemetary results. It gives the I ite Sequeces
The Binomial Multi- Section Transformer
4/15/21 The Bioial Multisectio Matchig Trasforer.doc 1/17 The Bioial Multi- Sectio Trasforer Recall that a ulti-sectio atchig etwork ca be described usig the theory of sall reflectios as: where: Γ ( ω
Taking DCOP to the Real World: Efficient Complete Solutions for Distributed Multi-Event Scheduling
Taig DCOP to the Real World: Efficiet Complete Solutios for Distributed Multi-Evet Schedulig Rajiv T. Maheswara, Milid Tambe, Emma Bowrig, Joatha P. Pearce, ad Pradeep araatham Uiversity of Souther Califoria
Department of Computer Science, University of Otago
Departmet of Computer Sciece, Uiversity of Otago Techical Report OUCS-2006-09 Permutatios Cotaiig May Patters Authors: M.H. Albert Departmet of Computer Sciece, Uiversity of Otago Micah Colema, Rya Fly
arxiv:0903.5136v2 [math.pr] 13 Oct 2009
First passage percolatio o rado graphs with fiite ea degrees Shakar Bhaidi Reco va der Hofstad Gerard Hooghiestra October 3, 2009 arxiv:0903.536v2 [ath.pr 3 Oct 2009 Abstract We study first passage percolatio
How to read A Mutual Fund shareholder report
Ivestor BulletI How to read A Mutual Fud shareholder report The SEC s Office of Ivestor Educatio ad Advocacy is issuig this Ivestor Bulleti to educate idividual ivestors about mutual fud shareholder reports.
I. Chi-squared Distributions
1 M 358K Supplemet to Chapter 23: CHI-SQUARED DISTRIBUTIONS, T-DISTRIBUTIONS, AND DEGREES OF FREEDOM To uderstad t-distributios, we first eed to look at aother family of distributios, the chi-squared distributios.
Asymptotic Growth of Functions
CMPS Itroductio to Aalysis of Algorithms Fall 3 Asymptotic Growth of Fuctios We itroduce several types of asymptotic otatio which are used to compare the performace ad efficiecy of algorithms As we ll
CHAPTER 3 THE TIME VALUE OF MONEY
CHAPTER 3 THE TIME VALUE OF MONEY OVERVIEW A dollar i the had today is worth more tha a dollar to be received i the future because, if you had it ow, you could ivest that dollar ad ear iterest. Of all
The analysis of the Cournot oligopoly model considering the subjective motive in the strategy selection
The aalysis of the Courot oligopoly model cosiderig the subjective motive i the strategy selectio Shigehito Furuyama Teruhisa Nakai Departmet of Systems Maagemet Egieerig Faculty of Egieerig Kasai Uiversity
Soving Recurrence Relations
Sovig Recurrece Relatios Part 1. Homogeeous liear 2d degree relatios with costat coefficiets. Cosider the recurrece relatio ( ) T () + at ( 1) + bt ( 2) = 0 This is called a homogeeous liear 2d degree
MARTINGALES AND A BASIC APPLICATION
MARTINGALES AND A BASIC APPLICATION TURNER SMITH Abstract. This paper will develop the measure-theoretic approach to probability i order to preset the defiitio of martigales. From there we will apply this
Modified Line Search Method for Global Optimization
Modified Lie Search Method for Global Optimizatio Cria Grosa ad Ajith Abraham Ceter of Excellece for Quatifiable Quality of Service Norwegia Uiversity of Sciece ad Techology Trodheim, Norway {cria, ajith}@q2s.tu.o
Hypothesis testing. Null and alternative hypotheses
Hypothesis testig Aother importat use of samplig distributios is to test hypotheses about populatio parameters, e.g. mea, proportio, regressio coefficiets, etc. For example, it is possible to stipulate
A Supply Chain Game Theory Framework for Cybersecurity Investments Under Network Vulnerability
A Supply Chai Gae Theory Fraework for Cybersecurity Ivestets Uder Network Vulerability Aa Nagurey, Ladier S. Nagurey, ad Shivai Shukla I Coputatio, Cryptography, ad Network Security, N.J. Daras ad M.T.
Designing Incentives for Online Question and Answer Forums
Desigig Icetives for Olie Questio ad Aswer Forums Shaili Jai School of Egieerig ad Applied Scieces Harvard Uiversity Cambridge, MA 0238 USA [email protected] Yilig Che School of Egieerig ad Applied
Ant Colony Algorithm Based Scheduling for Handling Software Project Delay
At Coloy Algorith Based Schedulig for Hadlig Software Project Delay Wei Zhag 1,2, Yu Yag 3, Juchao Xiao 4, Xiao Liu 5, Muhaad Ali Babar 6 1 School of Coputer Sciece ad Techology, Ahui Uiversity, Hefei,
Distributed Storage Allocations for Optimal Delay
Distributed Storage Allocatios for Optial Delay Derek Leog Departet of Electrical Egieerig Califoria Istitute of echology Pasadea, Califoria 925, USA derekleog@caltechedu Alexadros G Diakis Departet of
.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth
Questio 1: What is a ordiary auity? Let s look at a ordiary auity that is certai ad simple. By this, we mea a auity over a fixed term whose paymet period matches the iterest coversio period. Additioally,
Non-life insurance mathematics. Nils F. Haavardsson, University of Oslo and DNB Skadeforsikring
No-life isurace mathematics Nils F. Haavardsso, Uiversity of Oslo ad DNB Skadeforsikrig Mai issues so far Why does isurace work? How is risk premium defied ad why is it importat? How ca claim frequecy
Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 13
EECS 70 Discrete Mathematics ad Probability Theory Sprig 2014 Aat Sahai Note 13 Itroductio At this poit, we have see eough examples that it is worth just takig stock of our model of probability ad may
Chapter 6: Variance, the law of large numbers and the Monte-Carlo method
Chapter 6: Variace, the law of large umbers ad the Mote-Carlo method Expected value, variace, ad Chebyshev iequality. If X is a radom variable recall that the expected value of X, E[X] is the average value
Confidence Intervals for One Mean
Chapter 420 Cofidece Itervals for Oe Mea Itroductio This routie calculates the sample size ecessary to achieve a specified distace from the mea to the cofidece limit(s) at a stated cofidece level for a
Ekkehart Schlicht: Economic Surplus and Derived Demand
Ekkehart Schlicht: Ecoomic Surplus ad Derived Demad Muich Discussio Paper No. 2006-17 Departmet of Ecoomics Uiversity of Muich Volkswirtschaftliche Fakultät Ludwig-Maximilias-Uiversität Müche Olie at http://epub.ub.ui-mueche.de/940/
Sequences and Series
CHAPTER 9 Sequeces ad Series 9.. Covergece: Defiitio ad Examples Sequeces The purpose of this chapter is to itroduce a particular way of geeratig algorithms for fidig the values of fuctios defied by their
Properties of MLE: consistency, asymptotic normality. Fisher information.
Lecture 3 Properties of MLE: cosistecy, asymptotic ormality. Fisher iformatio. I this sectio we will try to uderstad why MLEs are good. Let us recall two facts from probability that we be used ofte throughout
Vladimir N. Burkov, Dmitri A. Novikov MODELS AND METHODS OF MULTIPROJECTS MANAGEMENT
Keywords: project maagemet, resource allocatio, etwork plaig Vladimir N Burkov, Dmitri A Novikov MODELS AND METHODS OF MULTIPROJECTS MANAGEMENT The paper deals with the problems of resource allocatio betwee
Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed.
This documet was writte ad copyrighted by Paul Dawkis. Use of this documet ad its olie versio is govered by the Terms ad Coditios of Use located at http://tutorial.math.lamar.edu/terms.asp. The olie versio
CHAPTER 3 DIGITAL CODING OF SIGNALS
CHAPTER 3 DIGITAL CODING OF SIGNALS Computers are ofte used to automate the recordig of measuremets. The trasducers ad sigal coditioig circuits produce a voltage sigal that is proportioal to a quatity
Lesson 17 Pearson s Correlation Coefficient
Outlie Measures of Relatioships Pearso s Correlatio Coefficiet (r) -types of data -scatter plots -measure of directio -measure of stregth Computatio -covariatio of X ad Y -uique variatio i X ad Y -measurig
GSR: A Global Stripe-based Redistribution Approach to Accelerate RAID-5 Scaling
: A Global -based Redistributio Approach to Accelerate RAID-5 Scalig Chetao Wu ad Xubi He Departet of Electrical & Coputer Egieerig Virgiia Coowealth Uiversity {wuc4,xhe2}@vcu.edu Abstract Uder the severe
Output Analysis (2, Chapters 10 &11 Law)
B. Maddah ENMG 6 Simulatio 05/0/07 Output Aalysis (, Chapters 10 &11 Law) Comparig alterative system cofiguratio Sice the output of a simulatio is radom, the comparig differet systems via simulatio should
Week 3 Conditional probabilities, Bayes formula, WEEK 3 page 1 Expected value of a random variable
Week 3 Coditioal probabilities, Bayes formula, WEEK 3 page 1 Expected value of a radom variable We recall our discussio of 5 card poker hads. Example 13 : a) What is the probability of evet A that a 5
1 Correlation and Regression Analysis
1 Correlatio ad Regressio Aalysis I this sectio we will be ivestigatig the relatioship betwee two cotiuous variable, such as height ad weight, the cocetratio of a ijected drug ad heart rate, or the cosumptio
A probabilistic proof of a binomial identity
A probabilistic proof of a biomial idetity Joatho Peterso Abstract We give a elemetary probabilistic proof of a biomial idetity. The proof is obtaied by computig the probability of a certai evet i two
Professional Networking
Professioal Networkig 1. Lear from people who ve bee where you are. Oe of your best resources for etworkig is alumi from your school. They ve take the classes you have take, they have bee o the job market
1 Computing the Standard Deviation of Sample Means
Computig the Stadard Deviatio of Sample Meas Quality cotrol charts are based o sample meas ot o idividual values withi a sample. A sample is a group of items, which are cosidered all together for our aalysis.
Your organization has a Class B IP address of 166.144.0.0 Before you implement subnetting, the Network ID and Host ID are divided as follows:
Subettig Subettig is used to subdivide a sigle class of etwork i to multiple smaller etworks. Example: Your orgaizatio has a Class B IP address of 166.144.0.0 Before you implemet subettig, the Network
Throughput and Delay Analysis of Hybrid Wireless Networks with Multi-Hop Uplinks
This paper was preseted as part of the ai techical progra at IEEE INFOCOM 0 Throughput ad Delay Aalysis of Hybrid Wireless Networks with Multi-Hop Upliks Devu Maikata Shila, Yu Cheg ad Tricha Ajali Dept.
Chapter 7 Methods of Finding Estimators
Chapter 7 for BST 695: Special Topics i Statistical Theory. Kui Zhag, 011 Chapter 7 Methods of Fidig Estimators Sectio 7.1 Itroductio Defiitio 7.1.1 A poit estimator is ay fuctio W( X) W( X1, X,, X ) of
auction a guide to selling at Residential
Residetial a guide to sellig at auctio Allsop is the market leader for residetial ad commercial auctios i the UK Aually sells up to 700 millio of property at auctio Holds at least seve residetial ad six
Subject CT5 Contingencies Core Technical Syllabus
Subject CT5 Cotigecies Core Techical Syllabus for the 2015 exams 1 Jue 2014 Aim The aim of the Cotigecies subject is to provide a groudig i the mathematical techiques which ca be used to model ad value
The Computational Rise and Fall of Fairness
Proceedigs of the Twety-Eighth AAAI Coferece o Artificial Itelligece The Coputatioal Rise ad Fall of Fairess Joh P Dickerso Caregie Mello Uiversity dickerso@cscuedu Joatha Golda Caregie Mello Uiversity
On Generalized Tian Ji s Horse Racing Strategy
Source: Iterdiscipliary Sciece Reviews, Vol. 37, o., pp. 87-93, ; DOI:.79/3888Z.4 O Geeralized Tia Ji s Horse Racig Strategy Jia-Ju SHU School of echaical & Aerospace gieerig, ayag Techological Uiversity,
SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES
SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES Read Sectio 1.5 (pages 5 9) Overview I Sectio 1.5 we lear to work with summatio otatio ad formulas. We will also itroduce a brief overview of sequeces,
BENEFIT-COST ANALYSIS Financial and Economic Appraisal using Spreadsheets
BENEIT-CST ANALYSIS iacial ad Ecoomic Appraisal usig Spreadsheets Ch. 2: Ivestmet Appraisal - Priciples Harry Campbell & Richard Brow School of Ecoomics The Uiversity of Queeslad Review of basic cocepts
Center, Spread, and Shape in Inference: Claims, Caveats, and Insights
Ceter, Spread, ad Shape i Iferece: Claims, Caveats, ad Isights Dr. Nacy Pfeig (Uiversity of Pittsburgh) AMATYC November 2008 Prelimiary Activities 1. I would like to produce a iterval estimate for the
Prescribing costs in primary care
Prescribig costs i primary care LONDON: The Statioery Office 13.50 Ordered by the House of Commos to be prited o 14 May 2007 REPORT BY THE COMPTROLLER AND AUDITOR GENERAL HC 454 Sessio 2006-2007 18 May
Analyzing Longitudinal Data from Complex Surveys Using SUDAAN
Aalyzig Logitudial Data from Complex Surveys Usig SUDAAN Darryl Creel Statistics ad Epidemiology, RTI Iteratioal, 312 Trotter Farm Drive, Rockville, MD, 20850 Abstract SUDAAN: Software for the Statistical
CHAPTER 7: Central Limit Theorem: CLT for Averages (Means)
CHAPTER 7: Cetral Limit Theorem: CLT for Averages (Meas) X = the umber obtaied whe rollig oe six sided die oce. If we roll a six sided die oce, the mea of the probability distributio is X P(X = x) Simulatio:
Swaps: Constant maturity swaps (CMS) and constant maturity. Treasury (CMT) swaps
Swaps: Costat maturity swaps (CMS) ad costat maturity reasury (CM) swaps A Costat Maturity Swap (CMS) swap is a swap where oe of the legs pays (respectively receives) a swap rate of a fixed maturity, while
Incremental calculation of weighted mean and variance
Icremetal calculatio of weighted mea ad variace Toy Fich [email protected] [email protected] Uiversity of Cambridge Computig Service February 009 Abstract I these otes I eplai how to derive formulae for umerically
Transient Vibration of the single degree of freedom systems.
Trasiet Vibratio of the sigle degree of freedo systes. 1. -INTRODUCTION. Trasiet vibratio is defied as a teporarily sustaied vibratio of a echaical syste. It ay cosist of forced or free vibratios, or both
5 Boolean Decision Trees (February 11)
5 Boolea Decisio Trees (February 11) 5.1 Graph Coectivity Suppose we are give a udirected graph G, represeted as a boolea adjacecy matrix = (a ij ), where a ij = 1 if ad oly if vertices i ad j are coected
PENSION ANNUITY. Policy Conditions Document reference: PPAS1(7) This is an important document. Please keep it in a safe place.
PENSION ANNUITY Policy Coditios Documet referece: PPAS1(7) This is a importat documet. Please keep it i a safe place. Pesio Auity Policy Coditios Welcome to LV=, ad thak you for choosig our Pesio Auity.
INVESTMENT PERFORMANCE COUNCIL (IPC)
INVESTMENT PEFOMANCE COUNCIL (IPC) INVITATION TO COMMENT: Global Ivestmet Performace Stadards (GIPS ) Guidace Statemet o Calculatio Methodology The Associatio for Ivestmet Maagemet ad esearch (AIM) seeks
COMPARISON OF THE EFFICIENCY OF S-CONTROL CHART AND EWMA-S 2 CONTROL CHART FOR THE CHANGES IN A PROCESS
COMPARISON OF THE EFFICIENCY OF S-CONTROL CHART AND EWMA-S CONTROL CHART FOR THE CHANGES IN A PROCESS Supraee Lisawadi Departmet of Mathematics ad Statistics, Faculty of Sciece ad Techoology, Thammasat
Institute of Actuaries of India Subject CT1 Financial Mathematics
Istitute of Actuaries of Idia Subject CT1 Fiacial Mathematics For 2014 Examiatios Subject CT1 Fiacial Mathematics Core Techical Aim The aim of the Fiacial Mathematics subject is to provide a groudig i
Impacts of the Collocation Window on the Accuracy of Altimeter/Buoy Wind Speed Comparison A Simulation Study. Ge Chen 1,2
Ge Che Ipacts of the Collocatio Widow o the ccuracy of ltieter/uoy Wid Speed Copariso Siulatio Study Ge Che, Ocea Reote Sesig Istitute, Ocea Uiversity of Qigdao 5 Yusha Road, Qigdao 66003, Chia E-ail:
LECTURE 13: Cross-validation
LECTURE 3: Cross-validatio Resampli methods Cross Validatio Bootstrap Bias ad variace estimatio with the Bootstrap Three-way data partitioi Itroductio to Patter Aalysis Ricardo Gutierrez-Osua Texas A&M
Convexity, Inequalities, and Norms
Covexity, Iequalities, ad Norms Covex Fuctios You are probably familiar with the otio of cocavity of fuctios. Give a twicedifferetiable fuctio ϕ: R R, We say that ϕ is covex (or cocave up) if ϕ (x) 0 for
Amendments to employer debt Regulations
March 2008 Pesios Legal Alert Amedmets to employer debt Regulatios The Govermet has at last issued Regulatios which will amed the law as to employer debts uder s75 Pesios Act 1995. The amedig Regulatios
where: T = number of years of cash flow in investment's life n = the year in which the cash flow X n i = IRR = the internal rate of return
EVALUATING ALTERNATIVE CAPITAL INVESTMENT PROGRAMS By Ke D. Duft, Extesio Ecoomist I the March 98 issue of this publicatio we reviewed the procedure by which a capital ivestmet project was assessed. The
Information about Bankruptcy
Iformatio about Bakruptcy Isolvecy Service of Irelad Seirbhís Dócmhaieachta a héirea Isolvecy Service of Irelad Seirbhís Dócmhaieachta a héirea What is the? The Isolvecy Service of Irelad () is a idepedet
GOOD PRACTICE CHECKLIST FOR INTERPRETERS WORKING WITH DOMESTIC VIOLENCE SITUATIONS
GOOD PRACTICE CHECKLIST FOR INTERPRETERS WORKING WITH DOMESTIC VIOLENCE SITUATIONS I the sprig of 2008, Stadig Together agaist Domestic Violece carried out a piece of collaborative work o domestic violece
0.7 0.6 0.2 0 0 96 96.5 97 97.5 98 98.5 99 99.5 100 100.5 96.5 97 97.5 98 98.5 99 99.5 100 100.5
Sectio 13 Kolmogorov-Smirov test. Suppose that we have a i.i.d. sample X 1,..., X with some ukow distributio P ad we would like to test the hypothesis that P is equal to a particular distributio P 0, i.e.
Valuing Firms in Distress
Valuig Firms i Distress Aswath Damodara http://www.damodara.com Aswath Damodara 1 The Goig Cocer Assumptio Traditioal valuatio techiques are built o the assumptio of a goig cocer, I.e., a firm that has
Data Analysis and Statistical Behaviors of Stock Market Fluctuations
44 JOURNAL OF COMPUTERS, VOL. 3, NO. 0, OCTOBER 2008 Data Aalysis ad Statistical Behaviors of Stock Market Fluctuatios Ju Wag Departmet of Mathematics, Beijig Jiaotog Uiversity, Beijig 00044, Chia Email:
Chapter 5 Unit 1. IET 350 Engineering Economics. Learning Objectives Chapter 5. Learning Objectives Unit 1. Annual Amount and Gradient Functions
Chapter 5 Uit Aual Amout ad Gradiet Fuctios IET 350 Egieerig Ecoomics Learig Objectives Chapter 5 Upo completio of this chapter you should uderstad: Calculatig future values from aual amouts. Calculatig
Audit of Assumptions for the March 2001 Budget. REPORT BY THE COMPTROLLER AND AUDITOR GENERAL HC 304 Session 2000 2001: 7 March 2001
Audit of Assumptios for the March 2001 Budget REPORT BY THE COMPTROLLER AND AUDITOR GENERAL HC 304 Sessio 2000 2001: 7 March 2001 Audit of Assumptios for the March 2001 Budget REPORT BY THE COMPTROLLER
Statistical inference: example 1. Inferential Statistics
Statistical iferece: example 1 Iferetial Statistics POPULATION SAMPLE A clothig store chai regularly buys from a supplier large quatities of a certai piece of clothig. Each item ca be classified either
NATIONAL SENIOR CERTIFICATE GRADE 12
NATIONAL SENIOR CERTIFICATE GRADE MATHEMATICS P EXEMPLAR 04 MARKS: 50 TIME: 3 hours This questio paper cosists of 8 pages ad iformatio sheet. Please tur over Mathematics/P DBE/04 NSC Grade Eemplar INSTRUCTIONS
Case Study. Normal and t Distributions. Density Plot. Normal Distributions
Case Study Normal ad t Distributios Bret Halo ad Bret Larget Departmet of Statistics Uiversity of Wiscosi Madiso October 11 13, 2011 Case Study Body temperature varies withi idividuals over time (it ca
PROCEEDINGS OF THE YEREVAN STATE UNIVERSITY AN ALTERNATIVE MODEL FOR BONUS-MALUS SYSTEM
PROCEEDINGS OF THE YEREVAN STATE UNIVERSITY Physical ad Mathematical Scieces 2015, 1, p. 15 19 M a t h e m a t i c s AN ALTERNATIVE MODEL FOR BONUS-MALUS SYSTEM A. G. GULYAN Chair of Actuarial Mathematics
Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is
0_0605.qxd /5/05 0:45 AM Page 470 470 Chapter 6 Additioal Topics i Trigoometry 6.5 Trigoometric Form of a Complex Number What you should lear Plot complex umbers i the complex plae ad fid absolute values
summary of cover CONTRACT WORKS INSURANCE
1 SUMMARY OF COVER CONTRACT WORKS summary of cover CONTRACT WORKS INSURANCE This documet details the cover we ca provide for our commercial or church policyholders whe udertakig buildig or reovatio works.
Research Article Sign Data Derivative Recovery
Iteratioal Scholarly Research Network ISRN Applied Mathematics Volume 0, Article ID 63070, 7 pages doi:0.540/0/63070 Research Article Sig Data Derivative Recovery L. M. Housto, G. A. Glass, ad A. D. Dymikov
Example 2 Find the square root of 0. The only square root of 0 is 0 (since 0 is not positive or negative, so those choices don t exist here).
BEGINNING ALGEBRA Roots ad Radicals (revised summer, 00 Olso) Packet to Supplemet the Curret Textbook - Part Review of Square Roots & Irratioals (This portio ca be ay time before Part ad should mostly
GOAL PROGRAMMING BASED MASTER PLAN FOR CYCLICAL NURSE SCHEDULING
Joural of Theoretical ad Applied Iforatio Techology 5 th Deceber 202. Vol. 46 No. 2005-202 JATIT & LLS. All rights reserved. ISSN: 992-8645 www.jatit.org E-ISSN: 87-395 GOAL PROGRAMMING BASED MASTER PLAN
The following example will help us understand The Sampling Distribution of the Mean. C1 C2 C3 C4 C5 50 miles 84 miles 38 miles 120 miles 48 miles
The followig eample will help us uderstad The Samplig Distributio of the Mea Review: The populatio is the etire collectio of all idividuals or objects of iterest The sample is the portio of the populatio
How To Calculate Stretch Factor Of Outig I Wireless Network
Stretch Factor of urveball outig i Wireless Network: ost of Load Balacig Fa Li Yu Wag The Uiversity of North arolia at harlotte, USA Eail: {fli, yu.wag}@ucc.edu Abstract outig i wireless etworks has bee
Investigation of Atwood s machines as Series and Parallel networks
Ivestiatio of Atwood s achies as Series ad Parallel etworks Jafari Matehkolaee, Mehdi; Bavad, Air Ahad Islaic Azad uiversity of Shahrood, Shahid Beheshti hih school i Sari, Mazadara, Ira [email protected]
A Cyclical Nurse Schedule Using Goal Programming
ITB J. Sci., Vol. 43 A, No. 3, 2011, 151-164 151 A Cyclical Nurse Schedule Usig Goal Prograig Ruzzaiah Jeal 1,*, Wa Rosaira Isail 2, Liog Choog Yeu 3 & Ahed Oughalie 4 1 School of Iforatio Techology, Faculty
5: Introduction to Estimation
5: Itroductio to Estimatio Cotets Acroyms ad symbols... 1 Statistical iferece... Estimatig µ with cofidece... 3 Samplig distributio of the mea... 3 Cofidece Iterval for μ whe σ is kow before had... 4 Sample
Definition. A variable X that takes on values X 1, X 2, X 3,...X k with respective frequencies f 1, f 2, f 3,...f k has mean
1 Social Studies 201 October 13, 2004 Note: The examples i these otes may be differet tha used i class. However, the examples are similar ad the methods used are idetical to what was preseted i class.
Volatility of rates of return on the example of wheat futures. Sławomir Juszczyk. Rafał Balina
Overcomig the Crisis: Ecoomic ad Fiacial Developmets i Asia ad Europe Edited by Štefa Bojec, Josef C. Brada, ad Masaaki Kuboiwa http://www.hippocampus.si/isbn/978-961-6832-32-8/cotets.pdf Volatility of
Domain 1: Designing a SQL Server Instance and a Database Solution
Maual SQL Server 2008 Desig, Optimize ad Maitai (70-450) 1-800-418-6789 Domai 1: Desigig a SQL Server Istace ad a Database Solutio Desigig for CPU, Memory ad Storage Capacity Requiremets Whe desigig a
Controller Area Network (CAN) Schedulability Analysis: Refuted, Revisited and Revised
Cotroller Area Networ (CAN) Schedulability Aalysis: Refuted, Revisited ad Revised Robert. Davis ad Ala Burs Real-ie Systes Research Group, Departet of Coputer Sciece, Uiversity of Yor, YO1 5DD, Yor (UK)
Research Method (I) --Knowledge on Sampling (Simple Random Sampling)
Research Method (I) --Kowledge o Samplig (Simple Radom Samplig) 1. Itroductio to samplig 1.1 Defiitio of samplig Samplig ca be defied as selectig part of the elemets i a populatio. It results i the fact
Price Comparison Websites
Warwick Ecoomics Research Paper Series Price Compariso Websites David Roaye October, 2015 Series Number: 1056 (versio 4) ISSN 2059-4283 (olie) ISSN 0083-7350 (prit) Price Compariso Websites David Roaye
