The Role of Fixed Fee and Royalty in Patent Licensing

Size: px
Start display at page:

Download "The Role of Fixed Fee and Royalty in Patent Licensing"

Transcription

1 Department of Economics Working Paper No. 011 ttp:// Te Roe of Fixed Fee and Royaty in Patent Licensing Sougata Poddar Nationa University of Singapore Uday Banu Sina Indian Statistica Institute Abstract: We consider a monopoistic screening mode of patent icensing. Tere is one patentee and one icensee and te patentee wises to se a patent of cost reducing tecnoogy to te icensee. Te patentee is an outsider and te icensee is te ony firm in te product market. Te icensee possesses private information about te market demand wic is unknown to te patentee except for some prior beief about it. In tis scenario, we find te inear optima icensing contract. Key words: JEL Cassification: icensing, fixed fee, royaty, adverse seection D3, D5, L13, L1 00 Sougata Poddar and Uday Banu Sina. Sougata Poddar, Department of Economics, Nationa University of Singapore, 10 Kent Ridge Crescent, Singapore 11960, Fax: ( , E-mai: ecssp@nus.edu.sg. Uday Banu Sina, Economic Researc Unit, Indian Statistica Institute, 03, B. T. Road, Kokata , India, E-mai: sinauday@yaoo.com. Views expressed erein are tose of te autors and do not necessariy refect te views of te Department of Economics, Nationa University of Singapore.

2 1. Introduction Patent icensing is fairy common tat takes pace in amost a industries. It is a source of profit for te inventor (aso caed patentee wo earns rent troug icensing a patent. Te common modes of patent icensing are: a royaty on per unit of output produced wit te patented tecnoogy, a fixed fee tat is independent of te quantity produced wit te patented tecnoogy, or a combination of fixed fee and royaty. Te patentee can coose wic of tese modes of icensing to empoy. Tat is, se can decide on weter to set a royaty rate and/or a fixed fee for wic any firm can purcase a icense or auction a fixed number of icenses. Te objective of te patentee is to maximize profits troug icensing. In te patent icensing iterature, depending on patentee s position in te market, generay two cases are discussed. One, were te patentee is outside te market of operation i.e. te patentee is not a competitor in te product market and two, were te patentee is inside te market of operation and naturay becomes a competitor in te product market. Given tese two possibe situations, te resuts regarding optima icensing is rater interesting. In a compete information framework, if te patentee appens to be an outsider, a fixed fee icensing is better tan per unit royaty icensing (see Kamien and Tauman (1986, Katz and Sapiro (1986, Kamien et. a. (199, Kamien (199 among oters and te reverse appen wen te patentee is an insider i.e. a competitor (see Wang (1998, Poddar and Sina (001. Given tis teoretica finding, in reaity, ten one soud expect tat eiter a fixed icensing or a per unit royaty icensing contract is being offered by te patentee to te icensee depending on weter te patentee is an outsider or insider. But empirica facts say oterwise 1, e.g. Rostoker (1983 in a firms survey finds out royaty pus fixed fee icensing accounts for 6 percent of te icens ing arrangements, royaty aone 39 percent and fixed fee aone 13 percent. Simiar studies by Tayor and Siberston (1973 find tat arrangements wit royaties or a mixture of fixed fee and royaty are far more common tan a simpe fee. In tis paper, we try to find out a pausibe teoretica expanation of tis empiricay observed fact in icensing arrangements. We consider a simpe mode of asymmetric information wit adverse seection. Tere is one patentee and one potentia icensee. Te patentee ods a patent for a cost reducing tecnoogy and wises to icense it wit an objective to maximize its own profit. Te icensee is te ony firm operating in te product market. Te patentee is an outsider. Te icensee as te private information regarding te market demand (weter it is ig or ow wereas te 1 See aso Caves et a. (1983, Maco-Stader et a. (1996, Jensen and Tursby (001 among oters. 1

3 patentee as ony a prior beief about it. Te patentee wants to offer an optima inear icensing contract for two possibe demand situations (ig or ow to te icensee, and ence faces an adverse seection probem. Te icensee as aways an incentive to convince te patentee tat te demand condition is ow in order to pay ower price for te icense as compared to te ig demand situation (since ig demand state generates more surpus to te icensee, wic in turn increases te icense fee. Given tis adverse seection probem, we expore wat woud be an optima as we as an efficient inear icensing contract offered by te patentee. We beieve many rea-ife icensing arrangements are simiar to te situation described ere. Notice tat witout any asymmetric information, i.e. in a compete information framework of te mode, carging a fixed fee (i.e. ig fee for te ig demand and ow fee or te ow demand woud be ceary optima for te patentee. However, wit adverse seection, we sow tat te optima icensing invoves royaty, fixed fee and a combination of bot depending on te parameter configurations of our mode. Te studies wic aso try to expain te prevaence of per unit royaty or a mixture of royaty and fixed fee as a icensing contract wen te patentee is an outsider are Beggs (199, Gaini and Wrigt (1990, Coi (001 3 among oters. Beggs (199 examined a situation were te icensee as a very cear idea of te market for a new product or te reduction in costs from a new process, ence possesses private information about te actua vaue of te patent wic te patentee does not know. In tis context e mainy considers a signaing game and sows tat royaty contracts make a separating equiibrium possibe, and may aow a more efficient outcome tan a fixed fee icensing. However, our mode is one of screening one (not signaing, were te patentee offers icensing contract to te icensee wie facing te probem of adverse seection. Wie in Beggs, te icensee makes a singe offer to te patentee in order to signa about te possessed private information of te true vaue of te patent. On te oter and, Gaini and Wrigt (1990 considers anoter signaing game were te patentee as private information about te actua vaue of te patent and expained tat royaty rate in te contract can act as a signaing device for te patentee. Tis is again in contrast to our mode, were te private information about te market demand in From empirica facts and observations, it is quite evident tat inear sceme of tecnoogy icensing is very muc prevaent in reaity (see previous discussion. 3 Very recenty, Coi (001 considered a mora azard probem in a icensing reationsip were effective transmission of knowedge (i.e vaue of te patent requires costy inputs by bot dispensing and receiving parties wic may not be observabe to any oter party, and expains te prevaence of royaty contract in te icensing reationsip. Bousquet et. a. (1998 considered a icensing arrangement under demand or cost uncertainty and justified te use of royat y in addition to fixed fee using risk-reated considerations. In teir mode tey do not ave any asymmetric information.

4 our case ies wit te icensee and patentee as ony some prior beief about it. Finay, to te best of our knowedge in te patent icensing iterature, tis kind of screening probem of te patentee is never considered expicity. Here we make an attempt to fi tis gap. Te pan of te paper is as foows. Section describes te basic framework. Section 3 describes two pooing icensing contracts: fixed fee and fixed fee pus royaty. Section improves upon te previous contracts and describes a separating icensing contract. Finay, section 5 concudes.. Te Basic Mode We consider a mode of tecnoogy icensing wit one patentee and one icensee. Te patentee ods a patent for a cost reducing tecnoogy. Tere is an incumbent firm in te market, wic is te potentia icensee for tis tecnoogy. Te patentee cannot enter into te market and produce te product. Tus we consider te case of an outside patentee, for exampe an R& D Laboratory. We are interested in te inear optima icensing strategy of te outside patentee wit one potentia icensee, wo as private information about te market demand condition. Te market (inverse demand function is given by p = A q, were p and q denote price and quantity respectivey wereas A is te demand intercept. Tere can be two states of demand of te product under consideration: ig or ow. We capture tis fact by assuming tat te intercept term A can take two vaues A and A depending on weter te demand is ig( and ow( (naturay A > A. Te incumbent firm as private information about tis demand conditions i.e., it knows for sure weter te market demand is ig or ow. On te oter and te patentee being an outsider does not know te actua demand but as a prior beief about tese demands. Wit probabiity θ, te patentee beieves tat te demand is ow and wit probabiity ( 1 θ it beieves te demand is ig. θ is common knowedge to bot parties. Suppose te incumbent firm can serve te market wit its existing tecnoogy for wic te margina cost of production is c. However te patentee as a new tecnoogy wic is more efficient and it reduces te cost of production by ε (ε>0. Tus, if tis new tecnoogy is used for te production, te margina cost of production woud be ( c ε. We consider te icensee to be ig type or ow type depending on weter it knows te demand to be ig or ow respectivey. 3

5 We consider te foowing game. Te patentee makes an offer of te new tecnoogy by carging some payment scedue. Te icensee can accept or reject te offer. After tis te production is undertaken by te icensee eiter wit te new tecnoogy (if it as accepted te offer or wit te existing tecnoogy (in case it as rejected te offer. Te profit is reaized at te end of te game. Let us note some of te variabes, wic woud be usefu for subsequent cacuations. Since te icensee is te ony one firm in te market so te market is served under monopoy. Te reservation payoff for eac type of te icensee is te payoff it receives witout te new tecnoogy, i.e., R i = ( A i c And te corresponding output is q i = for eac i = or (1 ( A i c for i = or. Suppose te new tecnoogy is used for production ten te profit of te firm woud be ( A i c + ε for i = or On te oter and, if some per unit royaty r is carged ten te profit of te icensee woud be ( A i c + ε r ( A c r q i (r = i + ε for i = or. and te corresponding output woud be It is we known in te iterature tat te royaty is distortionary as it increases te margina cost of production eading to ower overa surpus tat can be divided between te patentee and te icensee. Suppose bot te patentee and te icensee knows te actua demand in te market. Ten te game is one of compete information. Ten te optima icensing strategy in tis case is to carge a fixed fee suc tat te icensee receives its reservation payoff. Tus te optima fixed fee is given by: T i = ( A i c + ε ( A i c depending on i = or. ( 3. Pooing contracts 3.1 Fixed Fee Let us consider te asymmetric information probem were te icensee as te private information about demand and te patentee as ony prior beief about tat. Due to tis

6 asymmetric information te patentee wi face an adverse seection probem in icensing te tecnoogy as te ig type icensee woud ike to ide its private information and pretend to be ow type in order to pay ower amount for te tecnoogy. First consider te simpest contract wic is te fixed fee icensing contract. If te patentee carges ony fixed fee for its icense, ten eiter it as to carge T and in tat case bot type of te icensee wi accept te icense, or it as to carge T, in tat case ony ig type wi accept te tecnoogy, and te ow type wi reject te offer. Tus, if te patentee carges T, ten te tota payoff it receives is T. On te oter and if te patentee carges T, ten ony te ig type accepts te offer and te ow type wi not accept te icense. Tus, te expected payoff woud be: θ.0 + (1-θT = ( 1 θ T Now depending on te prior beief about te type of te icensee, te patentee wi coose eiter of tese two icense fees wic maximize its payoff. A simpe cacuation sows tat tere exists a θ* = (1- T suc tat for θ θ* bot types of te icensee is offered te T tecnoogy and te ow fixed fee is carged. And for θ < θ* ony ig type is offered te icense and te ig fixed fee is carged. Tus, for θ < θ* te market is not going to be served wit te new tecnoogy if te market demand is truy ow. Ony te ig type of te icensee accepts te offer and serves te marke t. So tere is an inefficiency due to asymmetric information as te market is not served by new tecnoogy wit probabiity θ for te prior beief θ < θ*. Te patentee s payoff π =Max. [T, (1-θT ]. In tis context, we define efficiency as a situation were te new tecnoogy is used to serve te market irrespective of te prior beief of te patentee. 5 Tus, we ave our first proposition, Proposition 1 Suppose te patentee carges ony fixed fee for icensing its tecnoogy. Ten, for θ θ* te patentee carges T as fixed fee and bot types of te icensee accept te offer. For θ <θ*, te patentee carges T and ony te ig type icensee accepts te offer, and as a resut te market is not served by new tecnoogy wit a prior beief θ < θ* i.e. wen te market demand is truy ow. 6 5 Note tat tis is different from te notion of socia efficiency (i.e. socia surpus maximization. However, te reationsip betw een te two wi be discussed at te end of section. 6 Tis case is simiar to wat is mentioned in Beggs (199, page 17. Te ony difference wit Beggs is tat wen te icense is offered wit ig fixed fee in case of rejection by te ow type, te patentee as a fa back payoff wic is nonzero (unike zero in our case as te patentee can turn to some oter aternative icensee as assumed tere. Atoug Beggs ad mentioned about te royaty contract wic is contingent on te output 5

7 Now, we woud ike to introduce more genera kind of contract, wic is a inear function of output aving bot fixed and a variabe component. Tis kind of inear contract is very common in te context of tecnoogy icensing in practice. 3. Fixed fee pus Royaty Contract We consider royaty as per unit fee carged on te output produced by te icensee and te fixed fee is a ump sum payment independent of output. We consider a uniform payment sceme te patentee designs for icensing te tecnoogy. Suppose te patentee designs a inear contract F + r q were F is te fixed fee and r is te royaty per unit of output produced. Tis payment scedue is uniform irrespective of te icensee s type. However, if te icensee produces more output wic is expected in case of ig demand ten te ex-post payment to te patentee is more because of te royaty rate r. Tis is a pooing contract as te same contract ( F, r is offered to bot types of te agent (icensee. Wit te pooing contract te patentee s probem is to maximize its payoff π = θ( F + rq ( r + (1 θ ( F rq ( r (3 + subject to te participation constraints of bot types of te icensee given by (using (1, - F + ( A i c + ε r ( A i c for i = and. (PC Given tis probem it is easy to see tat te ig type icensee woud receive some rent and te participation constraint of te ow type woud be satisfied wit equaity under tis pooing contract. To sove for te payoffs first note tat te optima fixed fee F = ( A c + ε r - ( A c. Substituting tis F and aso q (r, q (r into patentee s payoff p (from 3, we find patentee s payoff becomes a function of r ony, and tus we write: ( p(r = A c + ε r - ( A c ( A c r + θ r. + ε ( A + (1-θ.r. c + ε r Now maximizing p (r wit respect to r we get optima royaty under pooing contract as r = (1-θ (A A. Since te fixed fee can never be negative (i.e. F 0 so given te participation constraint (PC te royaty rate can never be greater tan ε. ( produced, in te simiar set up ike ours, but is non-inear royaty contract utimatey in tis simpe case turned out to be ike fixed fee contract as anayzed above. 6

8 Tus te optima royaty rate under pooing contract r* = Min.[(1-θ (A A, ε]. As a resut, F is aso determined. Putting te vaue of r* and F, we get te patentee s payoff under pooing contract p (r*. Te foowing emma caracterizes te royaty sceme r* under pooing contract. Lemma 1 Tere exists θ 1 = A A ε suc tat for θ 1 A A θ te optima royaty rate is ε and for θ > θ 1 te optima royaty rate is 1 θ ( A A < ε. ( Aternative to te above pooing contract te patentee can ony offer icense to te ig type icensee and carge te ig fixed fee T (using (. In tis case te patentee s payoff woud be (1-θ T. Now comparing te payoffs we get te optima strategy of te patentee. Note tat π (r* tere exists θˆ = (1- suc tat for θ θˆ bot types of te icensee is offered te T tecnoogy wit bot fixed fee (F 0 and royaty payment (r* 7. And for θ <θˆ ony ig type is offered te icense and te ig fixed fee (T is carged. Te patentee s payoff under P * tis pooing contract is: π = Max. ( π ( r, ( 1 θ T Tus, te foowing proposition caracterizes te icensing strategy under pooing contract. Proposition (i Wen te tecnoogy is offered under pooing contract of royaty pus fixed fee ten for θ θˆ te patentee offers te new tecnoogy to bot types of te icensee. And for θ <θˆ te patentee offers te tecnoogy to te ig type ony by carging (ii (iii te ig fixed fee. Wen te tecnoogy is offered to bot types, expected profit of te patentee under te pooing contract of royaty pus fixed fee, is iger tan te earier simpe fixed fee contract. Formay, p(r* > T. Under te pooing contract of royaty pus fixed fee inefficiency is reduced as compared to te situation wen ony te fixed fee icensing is offered sinceθˆ <θ*. 7 Note tat if r* = ε, ten F=0; oterwise F>0. 7

9 In oter words, under te pooing contract of royaty pus fixed fee, te market is being served for greater range of prior beief tan simpe fixed fee contact. Proof (i Foows from above discussion. (ii Note tat p(0 = T and p(r is a positive function of r wen 0 r < r * <. (iii Notice te fact tat p(r* > T. Coroary 1 (consistency wit compete information : Observe tat under pooing contract wen θ =1 (i.e., te demand is known to be ow ten r * = 0 and π ( r * = T ; wereas wen θ = 0 (i.e., te demand is known to be ig ten ( θ T = T 1. Now te question is weter te patentee can do any better by designing a separating contract and wat appens to te efficiency as a resut of tat.. Separating Contract Suppose te patentee can offer a discriminatory contract between te two types of icensee. Note tat tis kind of separating contract must satisfy anoter two constraints apart from te participation constraints (PC. Tese are incentive compatibiity constraints. Suppose, te contract offered to te icensee is (F, r and (F, r to ow type and ig type respectivey and te respective type accepts te offer. Now te incentive compatibiity means tat neiter type woud mimic and accepts te contract meant for te oter type. So we write te foowing incentive compatibiity constraints for te ow type (IC1 and te ig type (IC respectivey. ( A c + ε - F + ( A c + ε - F + r r ( A - F + ( A - F + c + ε r c + ε r (IC1 (IC First note tat any (F, r must satisfy te participation constraint of te ow type. Now by mimicking to be ow type te ig type icensee woud get te RHS of (IC. It is easy to ceck tat ig type gets a rent above its reservation payoff by mimicking to be ow type icensee. Tus, to separate out te ig type, (F, r must be suc tat te ig type gets tat rent in equiibrium. Since royaty as distortionary effects on surpus, so reducing r to zero 8

10 and increasing F (subject to IC woud increase te surpus extracted by te patentee. Tis ( A c + ε mecanism does not vioate te (IC1 aso. As a resut, F = F + - ( A c + ε r satisfied wit equaity we get F = ( A c + ε r (from (IC. Since te participation constraint of te ow type wi be - ( A c Tus, te patentee s payoff π becomes a function of r ony, and we write: π ( r = θ[ F + r q ( r ] + (1 θ F (6 Terefore, te maximization of π ( r wit respect to r woud yied r = However, we ave aready noted tat r cannot exceed ε. Tus, te optima r * = Min.[ ( 1 θ ( A A, ε]. θ ( 1 θ ( A A. θ As a resut te corresponding F * and F * are aso determined. Hence te Patentee s payoff under separating contract is acieved from (6. Te foowing emma caracterizes te royaty sceme r * under separating contract wit fixed fee pus royaty. (5 Lemma Tere exists θ = A A A A +ε suc tat for θ θ te optima royaty rate is ε and for θ > θ te optima royaty rate is ( 1 θ ( A A θ < ε. Tus, for θ θ, F* = 0 and F* = ( A c + ε ( A - c wic is te maximum fixed fee carged under compete information. Aso for θ > θ, F * > 0 and F * is ess tan te compete information fixed fee. In particuar wen θ = 1 ten te royaty rate is zero. And ow type is carged ony wit te fixed fee equivaent to te entire surpus as it soud be ike under compete information. Te above separating contract is te best for te patentee under te inear contract sceme we are considering in te present paper. 9

11 * * Aso observe tat optima royaty rate r under separating contract is iger tan tat of r in te case of fixed fee pus royaty pooing contrac t. See figure beow. [Insert Figure 1 about ere] Now, comparing Eqns.(3 and (6, we state te foowing emmas. Lemma 3 For a r = r, we must ave F F = and ( π( r π >. r Proof: From (3, note tat π ( r = θ (F + r q(r + (1-θ ( F + r q(r were, F = ( A c + ε r - ( A c From (6, note tat π ( r = θ[ F + r q ( r ] + (1 θ F were, F = ( A c + ε r It is easy to see tat wen - ( A i c r = r, ten F F = and aso ( r q ( r q =. Tus, te first term of π ( r and π ( coincides. Hence remains to sow te second term of ( r second term of π ( r. Leaving aside te common term (1- θ, second term of ( π, r π is bigger tan r ( A c + ε F = F + ( A c + ε - Since, F = F, it is enoug to sow r ( A c + ε ( A c + ε - r > r q (r Now putting te vaue of q (r and simpifying, we get: r > r, wic is true for r = r. Hence te resut. Lemma * P * It is true tat π ( r > π = Max. ( π ( r, ( 1 θ T Proof: First observe tat ( ( * π r * π > for a θ θˆ. Tis foows directy from emma 3. r 10

12 π r * > 1 θ T for a θ < θ ˆ. To sow ( ( Consider a feasibe separating contract as foows: Note tat tis contract is accepted by bot types. r = ε, F = 0, F = T. Tis contract acieves a payoff of π ( r = θ ( 0 + εq ( ε + ( 1 θ T > ( 1 θ T Now since, π ( r π ( * r as * Tus, we state our fina proposition. r is optima. Hence te resut. Proposition 3 (i Expected payoff of te patentee under te separating contract is greater tan tat (ii (iii π r > π of fixed fee pus royaty pooing contract. Formay, ( P *. Wen te icensee offers te tecnoogy under separating contract, ten for a prior beief, te tecnoogy is offered to bot types of te icensee, ence it is aso efficient. Te ig type of te icensee is aways carged wit fixed fee. In case of ow type icensee, for θ θ te optima royaty rate is ε wit zero fixed fee and for θ > θ te optima royaty is ess tan ε and aso some fixed fee is carged. Proof: (i foows directy from emma. (ii Note tat an aternative option of te patentee is to offer icensing contract ony to te ig type (wic is actuay optima in te earier pooing contract under some prior beief, see proposition (i. Using tat option te patentee receives ( 1 θ T. * P However, from emma, we note tat π ( > π = Max( π ( r, ( 1 θ T r 1 θ T. *. ( So under te separating contract, it is aways optima for te patentee to offer te patent to bot types of te icensee irrespective of te prior beief. (iii foows from emma and te discussion after tat. Tis finding is interesting as it estabises tat under adverse seection te optima icensing arrangement can be found wit a separating contract. Reca tat in te pooing contract wit royaty, wen icensing is offered to bot types ten, π * P find tat π ( r > π P π ; now under separating case, we, ence te optima icensing contract for te patentee is a separating contract as described above. Tis optima contract coud invove ony fixed fee, ony royaty 11

13 and a mixture of fixed fee and royaty depending on te parameter configurations. Te royaty is never used for te ig type of icensee under separating contract and it is used ony for ow type of icensee. 8 Aso note tat unike te pooing contracts described before were bot types are offered wit new tecnoogy over a restricted range of prior beief of te patentee, in te separating contract case irrespective of te prior beief of te patentee, new tecnoogy is aways offered to bot types. Tus, te opt ima icensing contract is more efficient in nature as compared to te pooing contract case. However, it soud be noted ere tat tis separating contract is sti not te first best contract from te point of view of socia surpus maximization. Te socia surpus is maximized wen te tecnoogy is used for bot types of demand and production taking pace according to te true margina cost of production associated wit te tecnoogy. In te separating contract anayzed above atoug te market is being served in bot states of demand but te presence of royaty per unit of output distorts te socia surpus avaiabe in te reationsip. Tus we find a second best contract from te socia wefare point of view wit a inear contract sceme. Coroary (consistency wit compete information : Observe tat under separating contract wen θ =1 (i.e., te demand is known to be truy ow ten * = 0 * r and ( r = T π ; wereas wen θ = 0(i.e te demand is known to be truy ig ten * r = ε wic impies F = 0 and ence F = T. 5. Concusion In tis paper, we ave considered a simpe mode of patent icensing wit a feature of adverse seection. Tere is one patentee and one icensee and te patentee wises to se a patent of cost reducing tecnoogy to te icensee. Te patentee is an outsider and te icensee is te ony firm in te product market. Te icensee possesses private information about te market demand wic is unknown to te patentee except tat te patentee as some prior beief about it. Te patentee as an option to carge a fixed fee, a per unit royaty fee or a mix of fixed and royaty fee in order to maximize profit. In a compete information framework of tis mode, te optima icensing contract woud be to carge a fixed fee contingent upon te state of demand. But due to asymmetric information, were te icensee as private information about te true demand, an adverse seection probem arises. In tis scenario, we 8 Tis finding appears to be consistent wit empirica observation in icensing arrangements tat royaty rate decreases wit output (Tayor and Siberston,

14 sowed tat an optima icensing contract of te patentee is to offer a separating contract, one for te ow demand type and te oter for te ig demand type. A ow demand type is offered wit a contract wic is eiter ony royaty or a combination of fixed fee and per unit royaty and te ig demand type is offered wit a contract wit ony fixed fee. We proved tat te expected payoff to te patentee from te separating contract is iger tan any pooing contract. We aso sowed tat irrespective of te prior beief of te patentee, new tecnoogy is aways offered to bot types under te separating contract. In oter words, te market is aways served by te new tecnoogy irrespective of te prior beief of te patentee, unike te pooing contracts were bot types are offered wit new tecnoogy over a restricted range of prior beief of te patentee. Tus, te optima inear separating icensing contract aso turned out to be more efficient tan an optima pooing contract. However, te optima separating contract is not te first best contract from te socia wefare point of view. Neverteess, tis kind of inear sceme is indeed observed in practice. References Beggs, A. W., 199. Te icensing of patents under asymmetric information, Internationa Journa of industria Organization, 10, Bousquet, A., Cremer, H., Ivadi, M., and Wokowicz, M., Risk saring in icensing, Internationa Journa of industria Organization, 16, Caves, R., Croke, H., and Kiing P., Te Imperfect Market for Tecnoogy Licenses, Oxford Buetin of Economics and Statistics, 5, Coi, J. P., 001. Tecnoogy transfer wit mora azard, Internationa Journa of Industria Organization,19, Gaini, N. and Wrigt, B. D., Tecnoogy transfer under asymmetric information, Rand Journa of Economics, 1, Jensen, R. and Tursby M., 001. Proofs and Prototypes for Sae: Te icensing of University Inventions, American Economic Review, Kamien, M., 199. Patent Licensing, In Aumann, R. J., and Hart, S. (Eds., Handbook of Game Teory, Capter

15 Kamiem, M. I. and Tauman, Y., Fees versus royaties and te private vaue of a patent, Quartery Journa of Economics, 101, Kamien, M., Oren, S., and Tauman, Y., 199. Optima icensing of cost reducing innovation, Journa of Matematica Economics, 1, Katz, M. and Sapiro, C., How to icense intangibe property, Quartery Journa of Economics, 101, (3, Maco-Stader, I., Martinez, X., Prerez-Castrio, D., Te Roe of Information in Licensing Contract Design, Researc Poicy, 5, Poddar, S. and Sina, U. B., 001, Licensing poicy in Bertrand spatia competition, mimeo. Dept. of Economics, NUS. Rostoker, M., A survey of corporate icensing, IDEA-Te Journa of Law and Tecnoogy, PTC Researc Report, Tayor, C. T. and Siberston, Z., A., Te Economic Impact of te Patent System, Cambridge, Cambridge University Press. Wang, X. H., Fee versus royaty icensing in a Cournot duopoy mode, Economics Letters, 60,

16 r, r A - A r * r* 0 θ1 θ 1 θ Figure 1

Getting to Know your Agent: Interim Information in Long Term Contractual Relationships

Getting to Know your Agent: Interim Information in Long Term Contractual Relationships Getting to Know your Agent: Interim Information in Long Term Contractua Reationsips Roand Strausz Free University of Berin November 7, 2001 Abstract In a finitey repeated principa agent reationsip wit

More information

Comparing Alternative Reimbursement Methods in a Model of Public Health Insurance

Comparing Alternative Reimbursement Methods in a Model of Public Health Insurance Comparing Aternative Reimbursement Metods in a Mode of Pubic Heat Insurance Francesca Barigozzi y First version: October 1998 Tis version: June 2000 Abstract I compare in-kind reimbursement and reimbursement

More information

Market Segmentation and Information Development Costs in a Two-Tiered Information Web Site

Market Segmentation and Information Development Costs in a Two-Tiered Information Web Site Market Segmentation and Information Deveopment Costs in a Two-Tiered Information Web Site Frederick J. Riggins Carson Scoo of Management University of Minnesota, Minneapois, MN friggins@csom.umn.edu Pone:

More information

SAT Math Facts & Formulas

SAT Math Facts & Formulas Numbers, Sequences, Factors SAT Mat Facts & Formuas Integers:..., -3, -2, -1, 0, 1, 2, 3,... Reas: integers pus fractions, decimas, and irrationas ( 2, 3, π, etc.) Order Of Operations: Aritmetic Sequences:

More information

Characterization and Uniqueness of Equilibrium in Competitive Insurance

Characterization and Uniqueness of Equilibrium in Competitive Insurance Caracterization and Uniqueness of Equiibrium in Competitive Insurance Vitor Farina Luz June 16, 2015 First draft: September 14t, 2012 Tis paper provides a compete caracterization of equiibria in a game-teoretic

More information

SAT Math Must-Know Facts & Formulas

SAT Math Must-Know Facts & Formulas SAT Mat Must-Know Facts & Formuas Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Rationas: fractions, tat is, anyting expressabe as a ratio of integers Reas: integers pus rationas

More information

Math 113 HW #5 Solutions

Math 113 HW #5 Solutions Mat 3 HW #5 Solutions. Exercise.5.6. Suppose f is continuous on [, 5] and te only solutions of te equation f(x) = 6 are x = and x =. If f() = 8, explain wy f(3) > 6. Answer: Suppose we ad tat f(3) 6. Ten

More information

Can a Lump-Sum Transfer Make Everyone Enjoy the Gains. from Free Trade?

Can a Lump-Sum Transfer Make Everyone Enjoy the Gains. from Free Trade? Can a Lump-Sum Transfer Make Everyone Enjoy te Gains from Free Trade? Yasukazu Icino Department of Economics, Konan University June 30, 2010 Abstract I examine lump-sum transfer rules to redistribute te

More information

Verifying Numerical Convergence Rates

Verifying Numerical Convergence Rates 1 Order of accuracy Verifying Numerical Convergence Rates We consider a numerical approximation of an exact value u. Te approximation depends on a small parameter, suc as te grid size or time step, and

More information

Oligopoly in Insurance Markets

Oligopoly in Insurance Markets Oigopoy in Insurance Markets June 3, 2008 Abstract We consider an oigopoistic insurance market with individuas who differ in their degrees of accident probabiities. Insurers compete in coverage and premium.

More information

Finance 360 Problem Set #6 Solutions

Finance 360 Problem Set #6 Solutions Finance 360 Probem Set #6 Soutions 1) Suppose that you are the manager of an opera house. You have a constant margina cost of production equa to $50 (i.e. each additiona person in the theatre raises your

More information

Modelling Australia s Private Health Insurance Industry

Modelling Australia s Private Health Insurance Industry Nationa Centre for Epidemioogy and Popuation Heat Te Austraian Nationa University Modeing Austraia s Private Heat Insurance Industry Piip Manners NCEPH Working Paper Number 48 Juy 2003 Tis paper outines

More information

Lecture 10: What is a Function, definition, piecewise defined functions, difference quotient, domain of a function

Lecture 10: What is a Function, definition, piecewise defined functions, difference quotient, domain of a function Lecture 10: Wat is a Function, definition, piecewise defined functions, difference quotient, domain of a function A function arises wen one quantity depends on anoter. Many everyday relationsips between

More information

ACT Math Facts & Formulas

ACT Math Facts & Formulas Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Rationals: fractions, tat is, anyting expressable as a ratio of integers Reals: integers plus rationals plus special numbers suc as

More information

Geometric Stratification of Accounting Data

Geometric Stratification of Accounting Data Stratification of Accounting Data Patricia Gunning * Jane Mary Horgan ** William Yancey *** Abstract: We suggest a new procedure for defining te boundaries of te strata in igly skewed populations, usual

More information

How To Ensure That An Eac Edge Program Is Successful

How To Ensure That An Eac Edge Program Is Successful Introduction Te Economic Diversification and Growt Enterprises Act became effective on 1 January 1995. Te creation of tis Act was to encourage new businesses to start or expand in Newfoundland and Labrador.

More information

Social Comparisons and Contributions to Online Communities: A Field Experiment on MovieLens

Social Comparisons and Contributions to Online Communities: A Field Experiment on MovieLens Socia Comparisons and Contributions to Onine Communities: A Fied Experiment on MovieLens Yan Cen F. Maxwe Harper Josep Konstan Serry Xin Li November 18, 2008 We woud ike to tank Race Croson, Jon Duffy,

More information

Chapter 7. Trade and Business Cycle Correlation. in the Asia-Pacific Region

Chapter 7. Trade and Business Cycle Correlation. in the Asia-Pacific Region Capter 7 Trade and Business Cyce Correation in te Asia-Pacific Region KUMAKURA Masanaga Introduction Te Asian financia crisis in 1997 and te European monetary unification in 1999 ave spurred interest in

More information

Unemployment insurance/severance payments and informality in developing countries

Unemployment insurance/severance payments and informality in developing countries Unemployment insurance/severance payments and informality in developing countries David Bardey y and Fernando Jaramillo z First version: September 2011. Tis version: November 2011. Abstract We analyze

More information

Math Test Sections. The College Board: Expanding College Opportunity

Math Test Sections. The College Board: Expanding College Opportunity Taking te SAT I: Reasoning Test Mat Test Sections Te materials in tese files are intended for individual use by students getting ready to take an SAT Program test; permission for any oter use must be sougt

More information

Pre-trial Settlement with Imperfect Private Monitoring

Pre-trial Settlement with Imperfect Private Monitoring Pre-trial Settlement wit Imperfect Private Monitoring Mostafa Beskar University of New Hampsire Jee-Hyeong Park y Seoul National University July 2011 Incomplete, Do Not Circulate Abstract We model pretrial

More information

SAMPLE DESIGN FOR THE TERRORISM RISK INSURANCE PROGRAM SURVEY

SAMPLE DESIGN FOR THE TERRORISM RISK INSURANCE PROGRAM SURVEY ASA Section on Survey Researc Metods SAMPLE DESIG FOR TE TERRORISM RISK ISURACE PROGRAM SURVEY G. ussain Coudry, Westat; Mats yfjäll, Statisticon; and Marianne Winglee, Westat G. ussain Coudry, Westat,

More information

M(0) = 1 M(1) = 2 M(h) = M(h 1) + M(h 2) + 1 (h > 1)

M(0) = 1 M(1) = 2 M(h) = M(h 1) + M(h 2) + 1 (h > 1) Insertion and Deletion in VL Trees Submitted in Partial Fulfillment of te Requirements for Dr. Eric Kaltofen s 66621: nalysis of lgoritms by Robert McCloskey December 14, 1984 1 ackground ccording to Knut

More information

Catalogue no. 12-001-XIE. Survey Methodology. December 2004

Catalogue no. 12-001-XIE. Survey Methodology. December 2004 Catalogue no. 1-001-XIE Survey Metodology December 004 How to obtain more information Specific inquiries about tis product and related statistics or services sould be directed to: Business Survey Metods

More information

SAT Subject Math Level 1 Facts & Formulas

SAT Subject Math Level 1 Facts & Formulas Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Reals: integers plus fractions, decimals, and irrationals ( 2, 3, π, etc.) Order Of Operations: Aritmetic Sequences: PEMDAS (Parenteses

More information

Derivatives Math 120 Calculus I D Joyce, Fall 2013

Derivatives Math 120 Calculus I D Joyce, Fall 2013 Derivatives Mat 20 Calculus I D Joyce, Fall 203 Since we ave a good understanding of its, we can develop derivatives very quickly. Recall tat we defined te derivative f x of a function f at x to be te

More information

Chapter 10: Refrigeration Cycles

Chapter 10: Refrigeration Cycles Capter 10: efrigeration Cycles Te vapor compression refrigeration cycle is a common metod for transferring eat from a low temperature to a ig temperature. Te above figure sows te objectives of refrigerators

More information

Journal of Economic Behavior & Organization

Journal of Economic Behavior & Organization Journa of Economic Behavior & Organization 85 (23 79 96 Contents ists avaiabe at SciVerse ScienceDirect Journa of Economic Behavior & Organization j ourna ho me pag e: www.esevier.com/ocate/j ebo Heath

More information

How To Make Money From Selling A Toy Or Game

How To Make Money From Selling A Toy Or Game Lead Time, Unertainty, and Canne Deision-Making Eya Biyaogorsky Graduate Soo of Management University of Caifornia at Davis, Davis, CA 9566 eyaog@udavis.edu Oded Koenigsberg Coumbia Business Soo Coumbia

More information

Instantaneous Rate of Change:

Instantaneous Rate of Change: Instantaneous Rate of Cange: Last section we discovered tat te average rate of cange in F(x) can also be interpreted as te slope of a scant line. Te average rate of cange involves te cange in F(x) over

More information

FINITE DIFFERENCE METHODS

FINITE DIFFERENCE METHODS FINITE DIFFERENCE METHODS LONG CHEN Te best known metods, finite difference, consists of replacing eac derivative by a difference quotient in te classic formulation. It is simple to code and economic to

More information

2.12 Student Transportation. Introduction

2.12 Student Transportation. Introduction Introduction Figure 1 At 31 Marc 2003, tere were approximately 84,000 students enrolled in scools in te Province of Newfoundland and Labrador, of wic an estimated 57,000 were transported by scool buses.

More information

Schedulability Analysis under Graph Routing in WirelessHART Networks

Schedulability Analysis under Graph Routing in WirelessHART Networks Scedulability Analysis under Grap Routing in WirelessHART Networks Abusayeed Saifulla, Dolvara Gunatilaka, Paras Tiwari, Mo Sa, Cenyang Lu, Bo Li Cengjie Wu, and Yixin Cen Department of Computer Science,

More information

Shell and Tube Heat Exchanger

Shell and Tube Heat Exchanger Sell and Tube Heat Excanger MECH595 Introduction to Heat Transfer Professor M. Zenouzi Prepared by: Andrew Demedeiros, Ryan Ferguson, Bradford Powers November 19, 2009 1 Abstract 2 Contents Discussion

More information

ELECTRONIC FUND TRANSFERS YOUR RIGHTS AND RESPONSIBILITIES

ELECTRONIC FUND TRANSFERS YOUR RIGHTS AND RESPONSIBILITIES ELECTRONIC FUND TRANSFERS YOUR RIGHTS AND RESPONSIBILITIES The Eectronic Fund Transfers we are capabe of handing for consumers are indicated beow, some of which may not appy your account Some of these

More information

Minimum Required Payment and Supplemental Information Disclosure Effects on Consumer Debt Repayment Decisions

Minimum Required Payment and Supplemental Information Disclosure Effects on Consumer Debt Repayment Decisions DANIEL NAVARRO-MARTINEZ, LINDA COURT SALISBURY, KATHERINE N. LEMON, NEIL STEWART, WILLIAM J. MATTHEWS, and ADAM J.L. HARRIS Repayment decisions ow muc of te oan to repay and wen to make te payments directy

More information

f(a + h) f(a) f (a) = lim

f(a + h) f(a) f (a) = lim Lecture 7 : Derivative AS a Function In te previous section we defined te derivative of a function f at a number a (wen te function f is defined in an open interval containing a) to be f (a) 0 f(a + )

More information

Pretrial Settlement with Imperfect Private Monitoring

Pretrial Settlement with Imperfect Private Monitoring Pretrial Settlement wit Imperfect Private Monitoring Mostafa Beskar Indiana University Jee-Hyeong Park y Seoul National University April, 2016 Extremely Preliminary; Please Do Not Circulate. Abstract We

More information

Secure Network Coding with a Cost Criterion

Secure Network Coding with a Cost Criterion Secure Network Coding with a Cost Criterion Jianong Tan, Murie Médard Laboratory for Information and Decision Systems Massachusetts Institute of Technoogy Cambridge, MA 0239, USA E-mai: {jianong, medard}@mit.edu

More information

Note nine: Linear programming CSE 101. 1 Linear constraints and objective functions. 1.1 Introductory example. Copyright c Sanjoy Dasgupta 1

Note nine: Linear programming CSE 101. 1 Linear constraints and objective functions. 1.1 Introductory example. Copyright c Sanjoy Dasgupta 1 Copyrigt c Sanjoy Dasgupta Figure. (a) Te feasible region for a linear program wit two variables (see tet for details). (b) Contour lines of te objective function: for different values of (profit). Te

More information

Betting Strategies, Market Selection, and the Wisdom of Crowds

Betting Strategies, Market Selection, and the Wisdom of Crowds Betting Strategies, Market Seection, and the Wisdom of Crowds Wiemien Kets Northwestern University w-kets@keogg.northwestern.edu David M. Pennock Microsoft Research New York City dpennock@microsoft.com

More information

Section 3.3. Differentiation of Polynomials and Rational Functions. Difference Equations to Differential Equations

Section 3.3. Differentiation of Polynomials and Rational Functions. Difference Equations to Differential Equations Difference Equations to Differential Equations Section 3.3 Differentiation of Polynomials an Rational Functions In tis section we begin te task of iscovering rules for ifferentiating various classes of

More information

Angles formed by 2 Lines being cut by a Transversal

Angles formed by 2 Lines being cut by a Transversal Chapter 4 Anges fored by 2 Lines being cut by a Transversa Now we are going to nae anges that are fored by two ines being intersected by another ine caed a transversa. 1 2 3 4 t 5 6 7 8 If I asked you

More information

College Planning Using Cash Value Life Insurance

College Planning Using Cash Value Life Insurance College Planning Using Cas Value Life Insurance CAUTION: Te advisor is urged to be extremely cautious of anoter college funding veicle wic provides a guaranteed return of premium immediately if funded

More information

Pricing Internet Services With Multiple Providers

Pricing Internet Services With Multiple Providers Pricing Internet Services With Mutipe Providers Linhai He and Jean Warand Dept. of Eectrica Engineering and Computer Science University of Caifornia at Berkeey Berkeey, CA 94709 inhai, wr@eecs.berkeey.edu

More information

2 Limits and Derivatives

2 Limits and Derivatives 2 Limits and Derivatives 2.7 Tangent Lines, Velocity, and Derivatives A tangent line to a circle is a line tat intersects te circle at exactly one point. We would like to take tis idea of tangent line

More information

Strategic trading in a dynamic noisy market. Dimitri Vayanos

Strategic trading in a dynamic noisy market. Dimitri Vayanos LSE Researc Online Article (refereed) Strategic trading in a dynamic noisy market Dimitri Vayanos LSE as developed LSE Researc Online so tat users may access researc output of te Scool. Copyrigt and Moral

More information

Uncertain Bequest Needs and Long-Term Insurance Contracts 1

Uncertain Bequest Needs and Long-Term Insurance Contracts 1 Uncertain Bequest Needs and Long-Term Insurance Contracts 1 Wenan Fei (Hartford Life Insurance) Caude Fuet (Université du Québec à Montréa and CIRPEE) Harris Schesinger (University of Aabama) Apri 22,

More information

The EOQ Inventory Formula

The EOQ Inventory Formula Te EOQ Inventory Formula James M. Cargal Matematics Department Troy University Montgomery Campus A basic problem for businesses and manufacturers is, wen ordering supplies, to determine wat quantity of

More information

The modelling of business rules for dashboard reporting using mutual information

The modelling of business rules for dashboard reporting using mutual information 8 t World IMACS / MODSIM Congress, Cairns, Australia 3-7 July 2009 ttp://mssanz.org.au/modsim09 Te modelling of business rules for dasboard reporting using mutual information Gregory Calbert Command, Control,

More information

The Dynamics of Movie Purchase and Rental Decisions: Customer Relationship Implications to Movie Studios

The Dynamics of Movie Purchase and Rental Decisions: Customer Relationship Implications to Movie Studios Te Dynamics of Movie Purcase and Rental Decisions: Customer Relationsip Implications to Movie Studios Eddie Ree Associate Professor Business Administration Stoneill College 320 Wasington St Easton, MA

More information

- 1 - Handout #22 May 23, 2012 Huffman Encoding and Data Compression. CS106B Spring 2012. Handout by Julie Zelenski with minor edits by Keith Schwarz

- 1 - Handout #22 May 23, 2012 Huffman Encoding and Data Compression. CS106B Spring 2012. Handout by Julie Zelenski with minor edits by Keith Schwarz CS106B Spring 01 Handout # May 3, 01 Huffman Encoding and Data Compression Handout by Julie Zelenski wit minor edits by Keit Scwarz In te early 1980s, personal computers ad ard disks tat were no larger

More information

1.6. Analyse Optimum Volume and Surface Area. Maximum Volume for a Given Surface Area. Example 1. Solution

1.6. Analyse Optimum Volume and Surface Area. Maximum Volume for a Given Surface Area. Example 1. Solution 1.6 Analyse Optimum Volume and Surface Area Estimation and oter informal metods of optimizing measures suc as surface area and volume often lead to reasonable solutions suc as te design of te tent in tis

More information

SELECTING THE SUITABLE ERP SYSTEM: A FUZZY AHP APPROACH. Ufuk Cebeci

SELECTING THE SUITABLE ERP SYSTEM: A FUZZY AHP APPROACH. Ufuk Cebeci SELECTING THE SUITABLE ERP SYSTEM: A FUZZY AHP APPROACH Ufuk Cebeci Department of Industria Engineering, Istanbu Technica University, Macka, Istanbu, Turkey - ufuk_cebeci@yahoo.com Abstract An Enterprise

More information

Normalization of Database Tables. Functional Dependency. Examples of Functional Dependencies: So Now what is Normalization? Transitive Dependencies

Normalization of Database Tables. Functional Dependency. Examples of Functional Dependencies: So Now what is Normalization? Transitive Dependencies ISM 602 Dr. Hamid Nemati Objectives The idea Dependencies Attributes and Design Understand concepts normaization (Higher-Leve Norma Forms) Learn how to normaize tabes Understand normaization and database

More information

Early access to FAS payments for members in poor health

Early access to FAS payments for members in poor health Financia Assistance Scheme Eary access to FAS payments for members in poor heath Pension Protection Fund Protecting Peope s Futures The Financia Assistance Scheme is administered by the Pension Protection

More information

Free Shipping and Repeat Buying on the Internet: Theory and Evidence

Free Shipping and Repeat Buying on the Internet: Theory and Evidence Free Sipping and Repeat Buying on te Internet: eory and Evidence Yingui Yang, Skander Essegaier and David R. Bell 1 June 13, 2005 1 Graduate Scool of Management, University of California at Davis (yiyang@ucdavis.edu)

More information

Dynamic Competitive Insurance

Dynamic Competitive Insurance Dynamic Competitive Insurance Vitor Farina Luz June 26, 205 Abstract I analyze long-term contracting in insurance markets wit asymmetric information and a finite or infinite orizon. Risk neutral firms

More information

Referendum-led Immigration Policy in the Welfare State

Referendum-led Immigration Policy in the Welfare State Referendum-led Immigration Policy in te Welfare State YUJI TAMURA Department of Economics, University of Warwick, UK First version: 12 December 2003 Updated: 16 Marc 2004 Abstract Preferences of eterogeneous

More information

ELECTRONIC FUND TRANSFERS YOUR RIGHTS AND RESPONSIBILITIES. l l. l l. l l

ELECTRONIC FUND TRANSFERS YOUR RIGHTS AND RESPONSIBILITIES. l l. l l. l l ELECTRONIC FUND TRANSFERS YOUR RIGHTS AND RESPONSIBILITIES The Eectronic Fund Transfers we are capabe of handing for consumers are indicated beow, some of which may not appy your account Some of these

More information

The guaranteed selection. For certainty in uncertain times

The guaranteed selection. For certainty in uncertain times The guaranteed seection For certainty in uncertain times Making the right investment choice If you can t afford to take a ot of risk with your money it can be hard to find the right investment, especiay

More information

3.5 Pendulum period. 2009-02-10 19:40:05 UTC / rev 4d4a39156f1e. g = 4π2 l T 2. g = 4π2 x1 m 4 s 2 = π 2 m s 2. 3.5 Pendulum period 68

3.5 Pendulum period. 2009-02-10 19:40:05 UTC / rev 4d4a39156f1e. g = 4π2 l T 2. g = 4π2 x1 m 4 s 2 = π 2 m s 2. 3.5 Pendulum period 68 68 68 3.5 Penduum period 68 3.5 Penduum period Is it coincidence that g, in units of meters per second squared, is 9.8, very cose to 2 9.87? Their proximity suggests a connection. Indeed, they are connected

More information

Business schools are the academic setting where. The current crisis has highlighted the need to redefine the role of senior managers in organizations.

Business schools are the academic setting where. The current crisis has highlighted the need to redefine the role of senior managers in organizations. c r o s os r oi a d s REDISCOVERING THE ROLE OF BUSINESS SCHOOLS The current crisis has highighted the need to redefine the roe of senior managers in organizations. JORDI CANALS Professor and Dean, IESE

More information

ASYMPTOTIC DIRECTION FOR RANDOM WALKS IN RANDOM ENVIRONMENTS arxiv:math/0512388v2 [math.pr] 11 Dec 2007

ASYMPTOTIC DIRECTION FOR RANDOM WALKS IN RANDOM ENVIRONMENTS arxiv:math/0512388v2 [math.pr] 11 Dec 2007 ASYMPTOTIC DIRECTION FOR RANDOM WALKS IN RANDOM ENVIRONMENTS arxiv:math/0512388v2 [math.pr] 11 Dec 2007 FRANÇOIS SIMENHAUS Université Paris 7, Mathématiques, case 7012, 2, pace Jussieu, 75251 Paris, France

More information

For Sale By Owner Program. We can help with our for sale by owner kit that includes:

For Sale By Owner Program. We can help with our for sale by owner kit that includes: Dawn Coen Broker/Owner For Sale By Owner Program If you want to sell your ome By Owner wy not:: For Sale Dawn Coen Broker/Owner YOUR NAME YOUR PHONE # Look as professional as possible Be totally prepared

More information

2.23 Gambling Rehabilitation Services. Introduction

2.23 Gambling Rehabilitation Services. Introduction 2.23 Gambling Reabilitation Services Introduction Figure 1 Since 1995 provincial revenues from gambling activities ave increased over 56% from $69.2 million in 1995 to $108 million in 2004. Te majority

More information

Channel Decision-Making

Channel Decision-Making Canne Deision-Making Eya Biyaogorsky Graduate Soo of Management University of Caornia Davis, Davis, CA 9566 eyaog@udavis.edu Oded Koenigsberg Coumbia Business Soo Coumbia University, New York, NY 007 ok08@oumbia.edu

More information

Australian Bureau of Statistics Management of Business Providers

Australian Bureau of Statistics Management of Business Providers Purpose Austraian Bureau of Statistics Management of Business Providers 1 The principa objective of the Austraian Bureau of Statistics (ABS) in respect of business providers is to impose the owest oad

More information

MATHEMATICS FOR ENGINEERING DIFFERENTIATION TUTORIAL 1 - BASIC DIFFERENTIATION

MATHEMATICS FOR ENGINEERING DIFFERENTIATION TUTORIAL 1 - BASIC DIFFERENTIATION MATHEMATICS FOR ENGINEERING DIFFERENTIATION TUTORIAL 1 - BASIC DIFFERENTIATION Tis tutorial is essential pre-requisite material for anyone stuing mecanical engineering. Tis tutorial uses te principle of

More information

2 Forward Vehicle Dynamics

2 Forward Vehicle Dynamics 2 Forward Veice Dynamics Straigt motion of an idea rigid veice is te subject of tis capter. We ignore air friction and examine te oad variation under te tires to determine te veice s imits of acceeration,

More information

ELECTRONIC FUND TRANSFERS YOUR RIGHTS AND RESPONSIBILITIES. l l l

ELECTRONIC FUND TRANSFERS YOUR RIGHTS AND RESPONSIBILITIES. l l l ELECTRONIC FUND TRANSFERS YOUR RIGHTS AND RESPONSIBILITIES The Eectronic Fund Transfers we are capabe of handing for consumers are indicated beow, some of which may not appy your account Some of these

More information

CHAPTER 7. Di erentiation

CHAPTER 7. Di erentiation CHAPTER 7 Di erentiation 1. Te Derivative at a Point Definition 7.1. Let f be a function defined on a neigborood of x 0. f is di erentiable at x 0, if te following it exists: f 0 fx 0 + ) fx 0 ) x 0 )=.

More information

Theoretical calculation of the heat capacity

Theoretical calculation of the heat capacity eoretical calculation of te eat capacity Principle of equipartition of energy Heat capacity of ideal and real gases Heat capacity of solids: Dulong-Petit, Einstein, Debye models Heat capacity of metals

More information

Average and Instantaneous Rates of Change: The Derivative

Average and Instantaneous Rates of Change: The Derivative 9.3 verage and Instantaneous Rates of Cange: Te Derivative 609 OBJECTIVES 9.3 To define and find average rates of cange To define te derivative as a rate of cange To use te definition of derivative to

More information

In other words the graph of the polynomial should pass through the points

In other words the graph of the polynomial should pass through the points Capter 3 Interpolation Interpolation is te problem of fitting a smoot curve troug a given set of points, generally as te grap of a function. It is useful at least in data analysis (interpolation is a form

More information

CERTIFICATE COURSE ON CLIMATE CHANGE AND SUSTAINABILITY. Course Offered By: Indian Environmental Society

CERTIFICATE COURSE ON CLIMATE CHANGE AND SUSTAINABILITY. Course Offered By: Indian Environmental Society CERTIFICATE COURSE ON CLIMATE CHANGE AND SUSTAINABILITY Course Offered By: Indian Environmenta Society INTRODUCTION The Indian Environmenta Society (IES) a dynamic and fexibe organization with a goba vision

More information

ELECTRONIC FUND TRANSFERS YOUR RIGHTS AND RESPONSIBILITIES

ELECTRONIC FUND TRANSFERS YOUR RIGHTS AND RESPONSIBILITIES ELECTRONIC FUND TRANSFERS YOUR RIGHTS AND RESPONSIBILITIES The Eectronic Fund Transfers we are capabe of handing for consumers are indicated beow, some of which may not appy your account Some of these

More information

An Idiot s guide to Support vector machines (SVMs)

An Idiot s guide to Support vector machines (SVMs) An Idiot s guide to Support vector machines (SVMs) R. Berwick, Viage Idiot SVMs: A New Generation of Learning Agorithms Pre 1980: Amost a earning methods earned inear decision surfaces. Linear earning

More information

An inquiry into the multiplier process in IS-LM model

An inquiry into the multiplier process in IS-LM model An inquiry into te multiplier process in IS-LM model Autor: Li ziran Address: Li ziran, Room 409, Building 38#, Peing University, Beijing 00.87,PRC. Pone: (86) 00-62763074 Internet Address: jefferson@water.pu.edu.cn

More information

Risk Margin for a Non-Life Insurance Run-Off

Risk Margin for a Non-Life Insurance Run-Off Risk Margin for a Non-Life Insurance Run-Off Mario V. Wüthrich, Pau Embrechts, Andreas Tsanakas February 2, 2011 Abstract For sovency purposes insurance companies need to cacuate so-caed best-estimate

More information

Budgeting Loans from the Social Fund

Budgeting Loans from the Social Fund Budgeting Loans from the Socia Fund tes sheet Pease read these notes carefuy. They expain the circumstances when a budgeting oan can be paid. Budgeting Loans You may be abe to get a Budgeting Loan if:

More information

This paper considers an inventory system with an assembly structure. In addition to uncertain customer

This paper considers an inventory system with an assembly structure. In addition to uncertain customer MANAGEMENT SCIENCE Vo. 51, No. 8, August 2005, pp. 1250 1265 issn 0025-1909 eissn 1526-5501 05 5108 1250 informs doi 10.1287/mnsc.1050.0394 2005 INFORMS Inventory Management for an Assemby System wh Product

More information

Name: Period: 9/28 10/7

Name: Period: 9/28 10/7 Nae: Period: 9/ 0/ LINES & TRANSVERSALS ) I can define, identify and iustrate te foowing ters Transversa Corresponding anges Aternate exterior anges. Aternate interior anges Sae side interior anges Dates,

More information

APPENDIX 10.1: SUBSTANTIVE AUDIT PROGRAMME FOR PRODUCTION WAGES: TROSTON PLC

APPENDIX 10.1: SUBSTANTIVE AUDIT PROGRAMME FOR PRODUCTION WAGES: TROSTON PLC Appendix 10.1: substantive audit programme for production wages: Troston pc 389 APPENDIX 10.1: SUBSTANTIVE AUDIT PROGRAMME FOR PRODUCTION WAGES: TROSTON PLC The detaied audit programme production wages

More information

f(x + h) f(x) h as representing the slope of a secant line. As h goes to 0, the slope of the secant line approaches the slope of the tangent line.

f(x + h) f(x) h as representing the slope of a secant line. As h goes to 0, the slope of the secant line approaches the slope of the tangent line. Derivative of f(z) Dr. E. Jacobs Te erivative of a function is efine as a limit: f (x) 0 f(x + ) f(x) We can visualize te expression f(x+) f(x) as representing te slope of a secant line. As goes to 0,

More information

Network/Communicational Vulnerability

Network/Communicational Vulnerability Automated teer machines (ATMs) are a part of most of our ives. The major appea of these machines is convenience The ATM environment is changing and that change has serious ramifications for the security

More information

Tangent Lines and Rates of Change

Tangent Lines and Rates of Change Tangent Lines and Rates of Cange 9-2-2005 Given a function y = f(x), ow do you find te slope of te tangent line to te grap at te point P(a, f(a))? (I m tinking of te tangent line as a line tat just skims

More information

Sections 3.1/3.2: Introducing the Derivative/Rules of Differentiation

Sections 3.1/3.2: Introducing the Derivative/Rules of Differentiation Sections 3.1/3.2: Introucing te Derivative/Rules of Differentiation 1 Tangent Line Before looking at te erivative, refer back to Section 2.1, looking at average velocity an instantaneous velocity. Here

More information

A system to monitor the quality of automated coding of textual answers to open questions

A system to monitor the quality of automated coding of textual answers to open questions Researc in Official Statistics Number 2/2001 A system to monitor te quality of automated coding of textual answers to open questions Stefania Maccia * and Marcello D Orazio ** Italian National Statistical

More information

EC201 Intermediate Macroeconomics. EC201 Intermediate Macroeconomics Problem set 8 Solution

EC201 Intermediate Macroeconomics. EC201 Intermediate Macroeconomics Problem set 8 Solution EC201 Intermediate Macroeconomics EC201 Intermediate Macroeconomics Prolem set 8 Solution 1) Suppose tat te stock of mone in a given econom is given te sum of currenc and demand for current accounts tat

More information

Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12.

Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12. Capter 6. Fluid Mecanics Notes: Most of te material in tis capter is taken from Young and Freedman, Cap. 12. 6.1 Fluid Statics Fluids, i.e., substances tat can flow, are te subjects of tis capter. But

More information

Betting on the Real Line

Betting on the Real Line Betting on the Rea Line Xi Gao 1, Yiing Chen 1,, and David M. Pennock 2 1 Harvard University, {xagao,yiing}@eecs.harvard.edu 2 Yahoo! Research, pennockd@yahoo-inc.com Abstract. We study the probem of designing

More information

Books on Reference and the Problem of Library Science

Books on Reference and the Problem of Library Science Practicing Reference... Learning from Library Science * Mary Whisner ** Ms. Whisner describes the method and some of the resuts reported in a recenty pubished book about the reference interview written

More information

FRAME BASED TEXTURE CLASSIFICATION BY CONSIDERING VARIOUS SPATIAL NEIGHBORHOODS. Karl Skretting and John Håkon Husøy

FRAME BASED TEXTURE CLASSIFICATION BY CONSIDERING VARIOUS SPATIAL NEIGHBORHOODS. Karl Skretting and John Håkon Husøy FRAME BASED TEXTURE CLASSIFICATION BY CONSIDERING VARIOUS SPATIAL NEIGHBORHOODS Kar Skretting and John Håkon Husøy University of Stavanger, Department of Eectrica and Computer Engineering N-4036 Stavanger,

More information

Measuring operational risk in financial institutions

Measuring operational risk in financial institutions Measuring operationa risk in financia institutions Operationa risk is now seen as a major risk for financia institutions. This paper considers the various methods avaiabe to measure operationa risk, and

More information

Teamwork. Abstract. 2.1 Overview

Teamwork. Abstract. 2.1 Overview 2 Teamwork Abstract This chapter presents one of the basic eements of software projects teamwork. It addresses how to buid teams in a way that promotes team members accountabiity and responsibiity, and

More information

TERM INSURANCE CALCULATION ILLUSTRATED. This is the U.S. Social Security Life Table, based on year 2007.

TERM INSURANCE CALCULATION ILLUSTRATED. This is the U.S. Social Security Life Table, based on year 2007. This is the U.S. Socia Security Life Tabe, based on year 2007. This is avaiabe at http://www.ssa.gov/oact/stats/tabe4c6.htm. The ife eperiences of maes and femaes are different, and we usuay do separate

More information

The Simple Pendulum. by Dr. James E. Parks

The Simple Pendulum. by Dr. James E. Parks by Dr. James E. Parks Department of Physics and Astronomy 401 Niesen Physics Buidin The University of Tennessee Knoxvie, Tennessee 37996-100 Copyriht June, 000 by James Edar Parks* *A rihts are reserved.

More information

A New Statistical Approach to Network Anomaly Detection

A New Statistical Approach to Network Anomaly Detection A New Statistica Approach to Network Anomay Detection Christian Caegari, Sandrine Vaton 2, and Michee Pagano Dept of Information Engineering, University of Pisa, ITALY E-mai: {christiancaegari,mpagano}@ietunipiit

More information

Tort Reforms and Performance of the Litigation System; Case of Medical Malpractice [Preliminary]

Tort Reforms and Performance of the Litigation System; Case of Medical Malpractice [Preliminary] Tort Reforms and Performance of the Litigation System; Case of Medica Mapractice [Preiminary] Hassan Faghani Dermi Department of Economics, Washington University in St.Louis June, 2011 Abstract This paper

More information