UNIVERSITY OF OSLO HEALTH ECONOMICS RESEARCH PROGRAMME

Size: px
Start display at page:

Download "UNIVERSITY OF OSLO HEALTH ECONOMICS RESEARCH PROGRAMME"

Transcription

1 UNIVERSITY OF OSLO HEALTH ECONOMICS RESEARCH PROGRAMME Allocatng health care resources when people are rsk averse wth respect to lfe tme Mchael Hoel Department of Economcs & The Ragnar Frsch Centre for Economc Research Workng Paper 2001: 10

2 Allocatng health care resources when people are rsk averse wth respect to lfe tme by Mchael Hoel* Health Economcs Research programme at the Unversty of Oslo HERO 2001 JEL classfcaton: D61, D81, H43, H51, I18 Key words: Health management, rsk averson, QALY, HYE * Department of Economcs, Unversty of Oslo, P.O. Box 1095, N-0317 Oslo, Norway. Emal: mchael.hoel@econ.uo.no 2001 HERO and the author Reproducton s permtted when the source s reffered to. Health Economcs Research programme at the Unversty of Oslo Fnancal support from The Research Councl of Norway s acknowledged. ISSN , ISBN

3 2 Abstract The crteron of cost-effectveness n health management may be gven a welfaretheoretcal ustfcaton f people are rsk neutral wth respect to lfe years. Wth rsk averson, the optmal allocaton of health expendtures change: Compared to the costeffectve allocaton, more resources should be allocated to health cases for whch the expected outcomes even after treatment are worse than average. The consequences of medcal nterventons are usually not known wth certanty. Gven ths type of uncertanty, smple applcaton of cost-effectveness analyss would recommend maxmzaton of expected health benefts gven the health budget. We show that when people are rsk averse wth respect to the number of lfe years they lve, the uncertanty assocated wth dfferent types of nterventons should play a role on allocatng the health budget.

4 3 1. Introducton To prortze among dfferent types of health expendtures, economsts often argue that cost-effectveness analyss should play an mportant role. Cost-effectveness s defned as the mnmum cost for a gven health beneft, or equvalently, maxmal health benefts for gven expendtures on health care. To be able to use such an analyss, one needs some measure of health benefts. Whle some analyses smply used the sum of lfe years saved due to a medcal nterventon, s more common so also take mprovements n health status nto account. A frequently used measure combnng the number of lves lved and the health qualty of these years s qualty adusted lfe years, or QALYs. The use of QALYs as a welfare measure, and as an approprate varable n cost-effectveness analyses, has been extensvely dscussed n the lterature. 1 A number of authors have crtczed the smple use of mnmum cost per QALY as a crteron for allocatng the health budget. A man crtcsm has been that the summaton of QALYs across ndvduals lacks a good ethcal or welfare theoretcal bass, see e.g. Harrs (1987), Wagstaff (1991), Nord (1994), Olsen (1997) and Dolan (1998). The crteron of cost-effectveness may, however, be gven a welfaretheoretcal ustfcaton under certan crcumstances: Imagne that a person must choose all health expendtures behnd the Rawlsan vel of gnorance,.e. before he/she knows hs/her health state. If ths person has preferences satsfyng the axoms of expected utlty theory, a cost-effectve allocaton of health expendtures wll be optmal, provded the person s rsk neutral wth respect to hs or her number of lfe years. However, rsk neutralty wth respect to lfe years s not a partcularly realstc assumpton (see e.g. the dscusson gven by Blechrodt (1995)). In ths paper we therefore consder how rsk averson wth respect to lfe years affects the optmal allocaton of health expendtures. 1 See e.g. Wensten and Stason (1977), Plskn et al. (1980), Mehrez and Gafn (1989), Broome (1993), Johannesson and Wensten (1993), Gabler and Phelps (1997), Blechrodt and Quggn (1999), and Nord (1999).

5 4 The consequences of medcal nteractons are usually not known wth certanty. Gven ths type of uncertanty, cost-effectveness analyss s typcally formulated as a recommendaton to maxmze expected health benefts gven the health budget. We show that when people are rsk averse wth respect to the number of lfe years they lve, the uncertanty assocated wth dfferent types of nterventons should play a role on allocatng the health budget. The rest of the paper s organzed as follows. The man assumpton regardng types of health states and preferences over these s gven n Secton 2. We avod the use of the QALY concept, as t can be argued that QALYs can only be a representaton of ndvdual lfe cycle preferences f people are rsk neutral wth respect to lfe years (see Plskn et al. (1980), Blechrodt (1995) and Blechrodt et al. (1997)). Instead, we use the concept of healthy year equvalents, or HYEs (see e.g Mehrez and Gafn (1989), Culyer and Wagstaff (1993), Gafn et al. (1993), and Blechrodt (1995) for a dscusson of ths concept) 2. In Secton 3 we derve the allocaton of health expendtures that would be chosen by a person decdng behnd the Rawlsan vel of gnorance. The specal cases of rsk neutralty and no uncertanty regardng health outcomes for a gven health state are dscussed n Sectons 4 and 5, before the propertes of the general case are dscussed n Secton 6. A bref summary of the man conclusons s gven n Secton Health states. A health profle s characterzed by a partcular lfetme and a partcular tme profle of varous health attrbutes durng ths lfetme. We assume that at the ex ante stage when people do not know ther health profle, they have an dentcal preference orderng over health profles. Moreover, we assume that for every health profle we can defne a healthy year equvalent (HYE),.e. a specfc number of years n perfect health that 2 If we are only concerned wth the number of lfe years, and not the health qualty of these years, both HYEs and QALYs are dentcal to the number of years lved. Moreover, f preferences have the property that they can

6 5 the decson-maker regards as equvalent to the health profle consdered. In ths way, each health profles may be summarzed by a sngle number measurng health standard by HYEs. We assume that there are m dfferent health states at the ex ante stage, wth health state havng probablty p of occurrng. Let h denote the number of HYEs n health state. Obvously h wll depend on what health care one s gven. Moreover, for a gven level of health care n a state, the number of HYEs s generally random. The number of HYEs n health state s thus gven by a functon h (c ;θ), where the uncertanty s represented by the parameter θ, wth each realzaton havng a known probablty q θ. In partcular, the HYEs n the absence of any treatment n health state s h (0;θ). By assumpton, the h functons are ncreasng n ther frst arguments. Moreover, we shall smplfy our analyss by assumng that all h functons are dfferentable and concave n ther frst argument. More precsely, usng h and h to denote frst and second order dervatves wth respect to c, we assume that h 0 and that h <0 for all h >0. In realty, as health expendture ncreases, there wll typcally be stages where one moves from one type of treatment to another. Therefore, the functon may be dscontnuous, and certanly non-dfferentable, at some ponts. However, for the general deas presented n ths paper ths s of mnor mportance. We therefore stck to our analytcally smple h functons. The decson-maker s assumed to have a von Neuman-Morgenstern utlty functon over HYEs, denoted by U(h (c ; θ)). Ths functon s assumed to be strctly ncreasng and concave. The case of rsk neutralty n lfe years s a lmtng case. For the case of rsk averson n lfe years U s strctly concave. be represented by the number of QALYs, then ths number s equal to the number of HYEs (see Blechrodt (1995).

7 6 3. The optmal allocaton of the health budget At the level of the socety, the probabltes p are shares of persons n each of the m health states. From the notaton of the prevous sectons we can wrte the government s budget constrant (per capta) as p c C (1) where C s an exogenously gven health budget. The decson-maker must choose all health expendtures c behnd a vel of gnorance, and does ths so that hs or her expected utlty s maxmzed 3. In other words, the followng maxmzaton problem s solved ( ) θ p θ θ subect to (1) (2) Maxmze q U h ( c ; ), whch gves the optmalty condton { U ( h ( c θ )) h '( c ; θ )} = λ ; E =1,,m (3) or, equvalently ( h ( c θ )) Eh '( c ; θ ) + cov{ U ( h ( c ; θ )), h ( c θ )} = λ E U ; =1,,m (4) ; Before dscussng the general case, we shall brefly consder two specal cases n the next two sectons. 3 A smlar approach s used by Pratt and Zeckhauser (1996) for a related problem.

8 7 4. The specal case of rsk neutralty If we have rsk neutralty wth respect to lfe years, U s constant, so that (3) may be rewrtten as Eh ' λ θ = U ' ( c ; ) (5) It follows from (5) that under rsk neutralty the optmal allocaton s characterzed by the expected margnal health benefts (measured by HYEs) of addtonal health expendtures beng the same for all types of health expendtures. Ths s the same allocaton as one would get from maxmzng the sum of expected HYEs for a gven budget for the sum of drect health expendtures. In the lterature, ths allocaton s often referred to as the cost-effectve allocaton, see e.g. Wensten and Stason (1977) for a further dscusson. 5. The specal case of a health state defnng a non-random health outcome As mentoned n the Introducton, t seems plausble that people are rsk averse wth respect to lfetme, and thus wth respect to HYEs. Let us frst gnore uncertanty regardng health outcomes for a gven health state. Formally, let h depend only on c, and not on θ. If ths s the case, we can rewrte (3) as ( h ( c )) h '( c = λ U ) =1,,m (6) It s clear from (6) (and the concavty of the functons U and h ) that the health budget should be allocated so that the margnal health benefts (measured by HYEs) of addtonal health expendtures should be hgher n states where the equlbrum number of HYEs s low than when ths number s hgh. In other words, rsk averson mples that health expendtures drected towards more serous health problems (measured by HYEs) should be gven a hgher prorty than they would n the smple case of cost effectveness.

9 8 6. The general case of uncertan health consequences of health care We want to nvestgate the consequences of uncertanty of a specfc health defect. To do ths, let the functons h (c ;θ) be gven for all. We compare the case of uncertanty n the relatonshp between c and h wth the case of certanty where the certan relatonshp between health expendture and HYEs s equal to the expected value of the functon h (c ;θ), denoted Eh (c ;θ). (The latter case corresponds to the degenerate case n whch the functon values h (c ;θ) are ndependent of the value of θ). Snce we are changng the h -functon for only one, t s reasonable to expect λ to have (approxmately) the same value for the two cases compared. Assume frst that the margnal health beneft of health expendtures n health state s non-random,.e. that h (c ;θ) s ndependent of θ. Ths means that although health outcomes may be uncertan, the dfferences n health outcomes due to dfferent levels of health care are certan. In ths case the covarance term n (4) s zero. The l.h.s. of (4) s larger or smaller wth uncertanty than wthout, dependng on whether E(U ) s larger or smaller under uncertanty than under certanty. Ths n turn depends on the sgn of U. If U s postve (as t s e.g. under constant relatve rsk averson), then E(U ) s larger under uncertanty than under certanty. From the second order condton of the optmzaton problem, t therefore follows that health expendture drected towards health defect should be hgher under uncertanty than under certanty. The opposte wll be true f U s negatve. To see the mportance of the covarance term n (4), let us now assume that U =0. From the result above we know that f the covarance term n (4) s zero, then the health expendture drected towards health defect should not be affected by the presence of uncertanty. Consder next the case n whch { ( h ( c ; θ ), h '( c ; θ )} 0 cov U > (7)

10 9 For any level of health expendture, U s lower for good values of θ than for bad values of θ (snce U <0). The assumpton (7) therefore means that the margnal beneft of health care (measured n HYEs) s lower for good health outcomes than for low health outcomes. In other words, health care reduces the uncertanty of the health outcome. When U =0 and (7) holds, the l.h.s. of (4) s hgher under uncertanty than under certanty. From the second order condton of the optmzaton problem, t therefore follows that health expendtures drected towards health defect should be hgher under uncertanty than under certanty. Consder the opposte case from (7),.e. { ( h ( c ; θ ), h '( c ; θ )} 0 cov U < (8) In ths case health care ncreases the uncertanty of the health outcome. We then get the opposte concluson from above: Health expendtures drected towards health defect should be lower under uncertanty than under certanty when U =0 and (9) holds. 7. A comparson wth a smple rule of cost-effectveness We have shown that a smple type of cost-effectveness s optmal f the decsonmaker s rsk neutral wth respect to lfe years. Wth rsk averson, the optmal allocaton of health expendtures changed. The analyss ndcates how the optmal allocaton devates from the cost-effectve allocaton. Loosely speakng, we have shown the followng: More resources should be allocated to health cases for whch the expected outcomes even after treatment are worse than average.

11 10 If the utlty functon has the property that U >0 (mpled by e.g. constant rsk averson), more resources should be allocated to cases for whch the health outcome s more uncertan than average, unless the treatment ncreases ths uncertanty. Even f medcal treatment for a partcular health defect ncreases the uncertanty of the health outcome, t s not obvous that less resources should be allocated to such a health defect than to a health defect wth a less uncertan development, snce we cannot rule out the possblty that U <0.

12 11 References Blechrodt, H. (1995), QALYs and HYEs: Under what crcumstances are they equvalent?, Journal of Health Economcs 14, Blechrodt, H. and Quggn, J. (1999), Lfe-cycle preferences over consumpton and health: when s cost-effectveness analyss equvalent to cost-beneft analyss?, Journal of Health Economcs 18, Blechrodt, H., Wakker, P. and Johannesson, M. (1997), Characterzng QALYs by rsk neutralty, Journal of Rsk and Uncertanty 15, Broome, J. (1993), Qalys, Journal of Publc Economcs 50, Culyer, A.J. and A. Wagstaff (1993), QALYs versus HYEs, Journal of Health Economcs 12, Dolan, P. (1998), The measurement of ndvdual utlty and socal welfare, Journal of Health Economcs 17, Gabler, A.M. and Phelps, C.E. (1997), Economc foundaton of cost-effectveness analyss, Journal of Health Economcs 16, Gafn, A., Brch, S. and Mehrez, A. (1993), Economcs, health and health economcs: HYEs versus QALYs, Journal of Health Economcs 12, Harrs, J. (1987), QALYfyng the value of lfe, Journal of Medcal Ethcs, 13,

13 Johannesson, M. and Wensten, M.C. (1993), On the decson rules of costeffectveness analyss, Journal of Health Economcs 12, Mehrez, A. and Gafn, A. (1989), Qualty-adusted lfe years, utlty theory, and healthy-years equvalents, Medcal Decson Makng, 9, Nord, E. (1994) The QALY A measure of socal value rather than ndvdual utlty?, Health Economcs, 3, Nord, E. (1999), Cost-value analyss n health care: makng sense out of QALYs. Cambrdge Unversty Press. Olsen, J.A. (1997), Theores of ustce and ther mplcatons for prorty settng n health care, Journal of Health Economcs 16, Plskn, J.S., Shepard, D.S. and Wensten, M.C. (1980), Utlty functons for lfe years and health status, Operatons Research 28, Pratt, J.W. and Zeckhauser, R.J. (1996), Wllngness to pay and the dstrbuton of rsk and wealth, Journal of Poltcal Economy 104, Wagstaff, A. (1991), QALYs and the equty-effcency trade-off, Journal of Health Economcs 10, Wensten, M.C. and Stason, W.B. (1977) Foundatons of cost-effectveness analyss for health analyss and medcal practces, New England Journal of Medcne 296,

What should (public) health insurance cover?

What should (public) health insurance cover? Journal of Health Economcs 26 (27) 251 262 What should (publc) health nsurance cover? Mchael Hoel Department of Economcs, Unversty of Oslo, P.O. Box 195 Blndern, N-317 Oslo, Norway Receved 29 Aprl 25;

More information

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ). REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or

More information

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12 14 The Ch-squared dstrbuton PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 1 If a normal varable X, havng mean µ and varance σ, s standardsed, the new varable Z has a mean 0 and varance 1. When ths standardsed

More information

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange

More information

The OC Curve of Attribute Acceptance Plans

The OC Curve of Attribute Acceptance Plans The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4

More information

Can Auto Liability Insurance Purchases Signal Risk Attitude?

Can Auto Liability Insurance Purchases Signal Risk Attitude? Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159-164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? Chu-Shu L Department of Internatonal Busness, Asa Unversty, Tawan Sheng-Chang

More information

Quasi-Hyperbolic Discounting and Social Security Systems

Quasi-Hyperbolic Discounting and Social Security Systems Quas-Hyperbolc Dscountng and Socal Securty Systems Mordecha E. Schwarz a and Eytan Sheshnsk b May 22, 26 Abstract Hyperbolc countng has become a common assumpton for modelng bounded ratonalty wth respect

More information

How To Calculate The Accountng Perod Of Nequalty

How To Calculate The Accountng Perod Of Nequalty Inequalty and The Accountng Perod Quentn Wodon and Shlomo Ytzha World Ban and Hebrew Unversty September Abstract Income nequalty typcally declnes wth the length of tme taen nto account for measurement.

More information

An Alternative Way to Measure Private Equity Performance

An Alternative Way to Measure Private Equity Performance An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate

More information

Cautiousness and Measuring An Investor s Tendency to Buy Options

Cautiousness and Measuring An Investor s Tendency to Buy Options Cautousness and Measurng An Investor s Tendency to Buy Optons James Huang October 18, 2005 Abstract As s well known, Arrow-Pratt measure of rsk averson explans a ratonal nvestor s behavor n stock markets

More information

How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence

How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence 1 st Internatonal Symposum on Imprecse Probabltes and Ther Applcatons, Ghent, Belgum, 29 June 2 July 1999 How Sets of Coherent Probabltes May Serve as Models for Degrees of Incoherence Mar J. Schervsh

More information

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background:

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background: SPEE Recommended Evaluaton Practce #6 efnton of eclne Curve Parameters Background: The producton hstores of ol and gas wells can be analyzed to estmate reserves and future ol and gas producton rates and

More information

Abteilung für Stadt- und Regionalentwicklung Department of Urban and Regional Development

Abteilung für Stadt- und Regionalentwicklung Department of Urban and Regional Development Abtelung für Stadt- und Regonalentwcklung Department of Urban and Regonal Development Gunther Maer, Alexander Kaufmann The Development of Computer Networks Frst Results from a Mcroeconomc Model SRE-Dscusson

More information

What is Candidate Sampling

What is Candidate Sampling What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble

More information

Fisher Markets and Convex Programs

Fisher Markets and Convex Programs Fsher Markets and Convex Programs Nkhl R. Devanur 1 Introducton Convex programmng dualty s usually stated n ts most general form, wth convex objectve functons and convex constrants. (The book by Boyd and

More information

Risk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008

Risk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008 Rsk-based Fatgue Estmate of Deep Water Rsers -- Course Project for EM388F: Fracture Mechancs, Sprng 2008 Chen Sh Department of Cvl, Archtectural, and Envronmental Engneerng The Unversty of Texas at Austn

More information

Feature selection for intrusion detection. Slobodan Petrović NISlab, Gjøvik University College

Feature selection for intrusion detection. Slobodan Petrović NISlab, Gjøvik University College Feature selecton for ntruson detecton Slobodan Petrovć NISlab, Gjøvk Unversty College Contents The feature selecton problem Intruson detecton Traffc features relevant for IDS The CFS measure The mrmr measure

More information

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..

More information

Problem Set 3. a) We are asked how people will react, if the interest rate i on bonds is negative.

Problem Set 3. a) We are asked how people will react, if the interest rate i on bonds is negative. Queston roblem Set 3 a) We are asked how people wll react, f the nterest rate on bonds s negatve. When

More information

(SOCIAL) COST-BENEFIT ANALYSIS IN A NUTSHELL

(SOCIAL) COST-BENEFIT ANALYSIS IN A NUTSHELL (SOCIAL) COST-BENEFIT ANALYSIS IN A NUTSHELL RUFUS POLLOCK EMMANUEL COLLEGE, UNIVERSITY OF CAMBRIDGE 1. Introducton Cost-beneft analyss s a process for evaluatng the merts of a partcular project or course

More information

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000 Problem Set 5 Solutons 1 MIT s consderng buldng a new car park near Kendall Square. o unversty funds are avalable (overhead rates are under pressure and the new faclty would have to pay for tself from

More information

ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING

ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING Matthew J. Lberatore, Department of Management and Operatons, Vllanova Unversty, Vllanova, PA 19085, 610-519-4390,

More information

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek HE DISRIBUION OF LOAN PORFOLIO VALUE * Oldrch Alfons Vascek he amount of captal necessary to support a portfolo of debt securtes depends on the probablty dstrbuton of the portfolo loss. Consder a portfolo

More information

Health Insurance and Household Savings

Health Insurance and Household Savings Health Insurance and Household Savngs Mnchung Hsu Job Market Paper Last Updated: November, 2006 Abstract Recent emprcal studes have documented a puzzlng pattern of household savngs n the U.S.: households

More information

An Analysis of Central Processor Scheduling in Multiprogrammed Computer Systems

An Analysis of Central Processor Scheduling in Multiprogrammed Computer Systems STAN-CS-73-355 I SU-SE-73-013 An Analyss of Central Processor Schedulng n Multprogrammed Computer Systems (Dgest Edton) by Thomas G. Prce October 1972 Techncal Report No. 57 Reproducton n whole or n part

More information

A Model of Private Equity Fund Compensation

A Model of Private Equity Fund Compensation A Model of Prvate Equty Fund Compensaton Wonho Wlson Cho Andrew Metrck Ayako Yasuda KAIST Yale School of Management Unversty of Calforna at Davs June 26, 2011 Abstract: Ths paper analyzes the economcs

More information

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy 4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.

More information

Kiel Institute for World Economics Duesternbrooker Weg 120 24105 Kiel (Germany) Kiel Working Paper No. 1120

Kiel Institute for World Economics Duesternbrooker Weg 120 24105 Kiel (Germany) Kiel Working Paper No. 1120 Kel Insttute for World Economcs Duesternbrooker Weg 45 Kel (Germany) Kel Workng Paper No. Path Dependences n enture Captal Markets by Andrea Schertler July The responsblty for the contents of the workng

More information

Extending Probabilistic Dynamic Epistemic Logic

Extending Probabilistic Dynamic Epistemic Logic Extendng Probablstc Dynamc Epstemc Logc Joshua Sack May 29, 2008 Probablty Space Defnton A probablty space s a tuple (S, A, µ), where 1 S s a set called the sample space. 2 A P(S) s a σ-algebra: a set

More information

IS-LM Model 1 C' dy = di

IS-LM Model 1 C' dy = di - odel Solow Assumptons - demand rrelevant n long run; assumes economy s operatng at potental GDP; concerned wth growth - Assumptons - supply s rrelevant n short run; assumes economy s operatng below potental

More information

CHAPTER EVALUATING EARTHQUAKE RETROFITTING MEASURES FOR SCHOOLS: A COST-BENEFIT ANALYSIS

CHAPTER EVALUATING EARTHQUAKE RETROFITTING MEASURES FOR SCHOOLS: A COST-BENEFIT ANALYSIS CHAPTER 17 EVALUATING EARTHQUAKE RETROFITTING MEASURES FOR SCHOOLS: A COST-BENEFIT ANALYSIS A.W. Smyth, G. Deodats, G. Franco, Y. He and T. Gurvch Department of Cvl Engneerng and Engneerng Mechancs, Columba

More information

Recurrence. 1 Definitions and main statements

Recurrence. 1 Definitions and main statements Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.

More information

Statistical Methods to Develop Rating Models

Statistical Methods to Develop Rating Models Statstcal Methods to Develop Ratng Models [Evelyn Hayden and Danel Porath, Österrechsche Natonalbank and Unversty of Appled Scences at Manz] Source: The Basel II Rsk Parameters Estmaton, Valdaton, and

More information

PRIVATE SCHOOL CHOICE: THE EFFECTS OF RELIGIOUS AFFILIATION AND PARTICIPATION

PRIVATE SCHOOL CHOICE: THE EFFECTS OF RELIGIOUS AFFILIATION AND PARTICIPATION PRIVATE SCHOOL CHOICE: THE EFFECTS OF RELIIOUS AFFILIATION AND PARTICIPATION Danny Cohen-Zada Department of Economcs, Ben-uron Unversty, Beer-Sheva 84105, Israel Wllam Sander Department of Economcs, DePaul

More information

Economic Models for Cloud Service Markets

Economic Models for Cloud Service Markets Economc Models for Cloud Servce Markets Ranjan Pal and Pan Hu 2 Unversty of Southern Calforna, USA, rpal@usc.edu 2 Deutsch Telekom Laboratores, Berln, Germany, pan.hu@telekom.de Abstract. Cloud computng

More information

17 Capital tax competition

17 Capital tax competition 17 Captal tax competton 17.1 Introducton Governments would lke to tax a varety of transactons that ncreasngly appear to be moble across jursdctonal boundares. Ths creates one obvous problem: tax base flght.

More information

Return decomposing of absolute-performance multi-asset class portfolios. Working Paper - Nummer: 16

Return decomposing of absolute-performance multi-asset class portfolios. Working Paper - Nummer: 16 Return decomposng of absolute-performance mult-asset class portfolos Workng Paper - Nummer: 16 2007 by Dr. Stefan J. Illmer und Wolfgang Marty; n: Fnancal Markets and Portfolo Management; March 2007; Volume

More information

On the Optimal Control of a Cascade of Hydro-Electric Power Stations

On the Optimal Control of a Cascade of Hydro-Electric Power Stations On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;

More information

Kiel Institute for World Economics Duesternbrooker Weg 120 24105 Kiel (Germany) Kiel Working Paper No. 1119

Kiel Institute for World Economics Duesternbrooker Weg 120 24105 Kiel (Germany) Kiel Working Paper No. 1119 Kel Insttute for World Economcs Duesternbrooker Weg 120 24105 Kel (Germany) Kel Workng Paper No. 1119 Under What Condtons Do Venture Captal Markets Emerge? by Andrea Schertler July 2002 The responsblty

More information

Small pots lump sum payment instruction

Small pots lump sum payment instruction For customers Small pots lump sum payment nstructon Please read these notes before completng ths nstructon About ths nstructon Use ths nstructon f you re an ndvdual wth Aegon Retrement Choces Self Invested

More information

The Greedy Method. Introduction. 0/1 Knapsack Problem

The Greedy Method. Introduction. 0/1 Knapsack Problem The Greedy Method Introducton We have completed data structures. We now are gong to look at algorthm desgn methods. Often we are lookng at optmzaton problems whose performance s exponental. For an optmzaton

More information

Luby s Alg. for Maximal Independent Sets using Pairwise Independence

Luby s Alg. for Maximal Independent Sets using Pairwise Independence Lecture Notes for Randomzed Algorthms Luby s Alg. for Maxmal Independent Sets usng Parwse Independence Last Updated by Erc Vgoda on February, 006 8. Maxmal Independent Sets For a graph G = (V, E), an ndependent

More information

Information Acquisition and Transparency in Global Games

Information Acquisition and Transparency in Global Games Informaton Acquston and Transparency n Global Games Mchal Szkup y and Isabel Trevno New York Unversty Abstract We ntroduce costly nformaton acquston nto the standard global games model. In our setup agents

More information

Multiple-Period Attribution: Residuals and Compounding

Multiple-Period Attribution: Residuals and Compounding Multple-Perod Attrbuton: Resduals and Compoundng Our revewer gave these authors full marks for dealng wth an ssue that performance measurers and vendors often regard as propretary nformaton. In 1994, Dens

More information

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.

More information

Study on Model of Risks Assessment of Standard Operation in Rural Power Network

Study on Model of Risks Assessment of Standard Operation in Rural Power Network Study on Model of Rsks Assessment of Standard Operaton n Rural Power Network Qngj L 1, Tao Yang 2 1 Qngj L, College of Informaton and Electrcal Engneerng, Shenyang Agrculture Unversty, Shenyang 110866,

More information

Intra-year Cash Flow Patterns: A Simple Solution for an Unnecessary Appraisal Error

Intra-year Cash Flow Patterns: A Simple Solution for an Unnecessary Appraisal Error Intra-year Cash Flow Patterns: A Smple Soluton for an Unnecessary Apprasal Error By C. Donald Wggns (Professor of Accountng and Fnance, the Unversty of North Florda), B. Perry Woodsde (Assocate Professor

More information

Adverse selection in the annuity market when payoffs vary over the time of retirement

Adverse selection in the annuity market when payoffs vary over the time of retirement Adverse selecton n the annuty market when payoffs vary over the tme of retrement by JOANN K. BRUNNER AND SUSANNE PEC * July 004 Revsed Verson of Workng Paper 0030, Department of Economcs, Unversty of nz.

More information

A Probabilistic Theory of Coherence

A Probabilistic Theory of Coherence A Probablstc Theory of Coherence BRANDEN FITELSON. The Coherence Measure C Let E be a set of n propostons E,..., E n. We seek a probablstc measure C(E) of the degree of coherence of E. Intutvely, we want

More information

Overview of monitoring and evaluation

Overview of monitoring and evaluation 540 Toolkt to Combat Traffckng n Persons Tool 10.1 Overvew of montorng and evaluaton Overvew Ths tool brefly descrbes both montorng and evaluaton, and the dstncton between the two. What s montorng? Montorng

More information

Analysis of Demand for Broadcastingng servces

Analysis of Demand for Broadcastingng servces Analyss of Subscrpton Demand for Pay-TV Manabu Shshkura * Norhro Kasuga ** Ako Tor *** Abstract In ths paper, we wll conduct an analyss from an emprcal perspectve concernng broadcastng demand behavor and

More information

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by 6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng

More information

A Lyapunov Optimization Approach to Repeated Stochastic Games

A Lyapunov Optimization Approach to Repeated Stochastic Games PROC. ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING, OCT. 2013 1 A Lyapunov Optmzaton Approach to Repeated Stochastc Games Mchael J. Neely Unversty of Southern Calforna http://www-bcf.usc.edu/

More information

An Interest-Oriented Network Evolution Mechanism for Online Communities

An Interest-Oriented Network Evolution Mechanism for Online Communities An Interest-Orented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne

More information

Financial Mathemetics

Financial Mathemetics Fnancal Mathemetcs 15 Mathematcs Grade 12 Teacher Gude Fnancal Maths Seres Overvew In ths seres we am to show how Mathematcs can be used to support personal fnancal decsons. In ths seres we jon Tebogo,

More information

Returns to Experience in Mozambique: A Nonparametric Regression Approach

Returns to Experience in Mozambique: A Nonparametric Regression Approach Returns to Experence n Mozambque: A Nonparametrc Regresson Approach Joel Muzma Conference Paper nº 27 Conferênca Inaugural do IESE Desafos para a nvestgação socal e económca em Moçambque 19 de Setembro

More information

Analysis of Premium Liabilities for Australian Lines of Business

Analysis of Premium Liabilities for Australian Lines of Business Summary of Analyss of Premum Labltes for Australan Lnes of Busness Emly Tao Honours Research Paper, The Unversty of Melbourne Emly Tao Acknowledgements I am grateful to the Australan Prudental Regulaton

More information

1. Measuring association using correlation and regression

1. Measuring association using correlation and regression How to measure assocaton I: Correlaton. 1. Measurng assocaton usng correlaton and regresson We often would lke to know how one varable, such as a mother's weght, s related to another varable, such as a

More information

! # %& ( ) +,../ 0 1 2 3 4 0 4 # 5##&.6 7% 8 # 0 4 2 #...

! # %& ( ) +,../ 0 1 2 3 4 0 4 # 5##&.6 7% 8 # 0 4 2 #... ! # %& ( ) +,../ 0 1 2 3 4 0 4 # 5##&.6 7% 8 # 0 4 2 #... 9 Sheffeld Economc Research Paper Seres SERP Number: 2011010 ISSN 1749-8368 Sarah Brown, Aurora Ortz-Núñez and Karl Taylor Educatonal loans and

More information

Industry export competitiveness and optimal quantitative strategies for international emissions trading

Industry export competitiveness and optimal quantitative strategies for international emissions trading Envronmental Economcs, Volume 5, Issue 4, 04 Tsung-Chen Lee (Tawan) Industry export compettveness and optmal quanttatve strateges for nternatonal emssons tradng Abstract Ths paper analyzes how quanttatve

More information

NBER WORKING PAPER SERIES CROWDING OUT AND CROWDING IN OF PRIVATE DONATIONS AND GOVERNMENT GRANTS. Garth Heutel

NBER WORKING PAPER SERIES CROWDING OUT AND CROWDING IN OF PRIVATE DONATIONS AND GOVERNMENT GRANTS. Garth Heutel BER WORKIG PAPER SERIES CROWDIG OUT AD CROWDIG I OF PRIVATE DOATIOS AD GOVERMET GRATS Garth Heutel Workng Paper 15004 http://www.nber.org/papers/w15004 ATIOAL BUREAU OF ECOOMIC RESEARCH 1050 Massachusetts

More information

Support Vector Machines

Support Vector Machines Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.

More information

Allocating Time and Resources in Project Management Under Uncertainty

Allocating Time and Resources in Project Management Under Uncertainty Proceedngs of the 36th Hawa Internatonal Conference on System Scences - 23 Allocatng Tme and Resources n Project Management Under Uncertanty Mark A. Turnqust School of Cvl and Envronmental Eng. Cornell

More information

Probability and Optimization Models for Racing

Probability and Optimization Models for Racing 1 Probablty and Optmzaton Models for Racng Vctor S. Y. Lo Unversty of Brtsh Columba Fdelty Investments Dsclamer: Ths presentaton does not reflect the opnons of Fdelty Investments. The work here was completed

More information

University of Kent Department of Economics Discussion Papers

University of Kent Department of Economics Discussion Papers Unversty of Kent Department of Economcs Dscusson Papers EXPERT ANALYSIS AND INSIDER INFORMATION IN HORSERACE BETTING: REGULATING INFORMED MARKET BEHAVIOR John Person and Mchael A. Smth November 2008 KDPE

More information

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL

More information

Section C2: BJT Structure and Operational Modes

Section C2: BJT Structure and Operational Modes Secton 2: JT Structure and Operatonal Modes Recall that the semconductor dode s smply a pn juncton. Dependng on how the juncton s based, current may easly flow between the dode termnals (forward bas, v

More information

Evaluating Earthquake Retrofitting Measures for Schools: A Demonstration Cost-Benefit Analysis

Evaluating Earthquake Retrofitting Measures for Schools: A Demonstration Cost-Benefit Analysis Evaluatng Earthquake Retrofttng easures for Schools: A emonstraton Cost-Beneft Analyss A.W. Smyth, G. eodats 2, G. Franco 3, Y. He 4, and T. Gurvch 4 ept. of Cvl Engneerng & Engneerng echancs Columba Unversty,

More information

Robust Design of Public Storage Warehouses. Yeming (Yale) Gong EMLYON Business School

Robust Design of Public Storage Warehouses. Yeming (Yale) Gong EMLYON Business School Robust Desgn of Publc Storage Warehouses Yemng (Yale) Gong EMLYON Busness School Rene de Koster Rotterdam school of management, Erasmus Unversty Abstract We apply robust optmzaton and revenue management

More information

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW.

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. Lucía Isabel García Cebrán Departamento de Economía y Dreccón de Empresas Unversdad de Zaragoza Gran Vía, 2 50.005 Zaragoza (Span) Phone: 976-76-10-00

More information

NON-CONSTANT SUM RED-AND-BLACK GAMES WITH BET-DEPENDENT WIN PROBABILITY FUNCTION LAURA PONTIGGIA, University of the Sciences in Philadelphia

NON-CONSTANT SUM RED-AND-BLACK GAMES WITH BET-DEPENDENT WIN PROBABILITY FUNCTION LAURA PONTIGGIA, University of the Sciences in Philadelphia To appear n Journal o Appled Probablty June 2007 O-COSTAT SUM RED-AD-BLACK GAMES WITH BET-DEPEDET WI PROBABILITY FUCTIO LAURA POTIGGIA, Unversty o the Scences n Phladelpha Abstract In ths paper we nvestgate

More information

Inequity Aversion and Individual Behavior in Public Good Games: An Experimental Investigation

Inequity Aversion and Individual Behavior in Public Good Games: An Experimental Investigation Dscusson Paper No. 07-034 Inequty Averson and Indvdual Behavor n Publc Good Games: An Expermental Investgaton Astrd Dannenberg, Thomas Rechmann, Bodo Sturm, and Carsten Vogt Dscusson Paper No. 07-034 Inequty

More information

To manage leave, meeting institutional requirements and treating individual staff members fairly and consistently.

To manage leave, meeting institutional requirements and treating individual staff members fairly and consistently. Corporate Polces & Procedures Human Resources - Document CPP216 Leave Management Frst Produced: Current Verson: Past Revsons: Revew Cycle: Apples From: 09/09/09 26/10/12 09/09/09 3 years Immedately Authorsaton:

More information

Follow links for Class Use and other Permissions. For more information send email to: permissions@pupress.princeton.edu

Follow links for Class Use and other Permissions. For more information send email to: permissions@pupress.princeton.edu COPYRIGHT NOTICE: Jord Galí: Monetary Polcy, Inflaton, and the Busness Cycle s publshed by Prnceton Unversty Press and copyrghted, 28, by Prnceton Unversty Press. All rghts reserved. No part of ths book

More information

THE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES

THE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES The goal: to measure (determne) an unknown quantty x (the value of a RV X) Realsaton: n results: y 1, y 2,..., y j,..., y n, (the measured values of Y 1, Y 2,..., Y j,..., Y n ) every result s encumbered

More information

Efficient Project Portfolio as a tool for Enterprise Risk Management

Efficient Project Portfolio as a tool for Enterprise Risk Management Effcent Proect Portfolo as a tool for Enterprse Rsk Management Valentn O. Nkonov Ural State Techncal Unversty Growth Traectory Consultng Company January 5, 27 Effcent Proect Portfolo as a tool for Enterprse

More information

Optimal Customized Pricing in Competitive Settings

Optimal Customized Pricing in Competitive Settings Optmal Customzed Prcng n Compettve Settngs Vshal Agrawal Industral & Systems Engneerng, Georga Insttute of Technology, Atlanta, Georga 30332 vshalagrawal@gatech.edu Mark Ferguson College of Management,

More information

The Application of Fractional Brownian Motion in Option Pricing

The Application of Fractional Brownian Motion in Option Pricing Vol. 0, No. (05), pp. 73-8 http://dx.do.org/0.457/jmue.05.0..6 The Applcaton of Fractonal Brownan Moton n Opton Prcng Qng-xn Zhou School of Basc Scence,arbn Unversty of Commerce,arbn zhouqngxn98@6.com

More information

The demand for private health care in the UK

The demand for private health care in the UK Journal of Health Economcs 19 2000 855 876 www.elsever.nlrlocatereconbase The demand for prvate health care n the UK Carol Propper ) Department of Economcs, CASE and CEPR, UnÕersty of Brstol, Brstol BS8

More information

Downlink Power Allocation for Multi-class. Wireless Systems

Downlink Power Allocation for Multi-class. Wireless Systems Downlnk Power Allocaton for Mult-class 1 Wreless Systems Jang-Won Lee, Rav R. Mazumdar, and Ness B. Shroff School of Electrcal and Computer Engneerng Purdue Unversty West Lafayette, IN 47907, USA {lee46,

More information

Price Impact Asymmetry of Block Trades: An Institutional Trading Explanation

Price Impact Asymmetry of Block Trades: An Institutional Trading Explanation Prce Impact Asymmetry of Block Trades: An Insttutonal Tradng Explanaton Gdeon Saar 1 Frst Draft: Aprl 1997 Current verson: October 1999 1 Stern School of Busness, New York Unversty, 44 West Fourth Street,

More information

The Stock Market Game and the Kelly-Nash Equilibrium

The Stock Market Game and the Kelly-Nash Equilibrium The Stock Market Game and the Kelly-Nash Equlbrum Carlos Alós-Ferrer, Ana B. Ana Department of Economcs, Unversty of Venna. Hohenstaufengasse 9, A-1010 Venna, Austra. July 2003 Abstract We formulate the

More information

Hedging Interest-Rate Risk with Duration

Hedging Interest-Rate Risk with Duration FIXED-INCOME SECURITIES Chapter 5 Hedgng Interest-Rate Rsk wth Duraton Outlne Prcng and Hedgng Prcng certan cash-flows Interest rate rsk Hedgng prncples Duraton-Based Hedgng Technques Defnton of duraton

More information

How to Sell Innovative Ideas: Property right, Information. Revelation and Contract Design

How to Sell Innovative Ideas: Property right, Information. Revelation and Contract Design Presenter Ye Zhang uke Economcs A yz137@duke.edu How to Sell Innovatve Ideas: Property rght, Informaton evelaton and Contract esgn ay 31 2011 Based on James Anton & ennes Yao s two papers 1. Expropraton

More information

Addendum to: Importing Skill-Biased Technology

Addendum to: Importing Skill-Biased Technology Addendum to: Importng Skll-Based Technology Arel Bursten UCLA and NBER Javer Cravno UCLA August 202 Jonathan Vogel Columba and NBER Abstract Ths Addendum derves the results dscussed n secton 3.3 of our

More information

Coordinated Denial-of-Service Attacks in IEEE 802.22 Networks

Coordinated Denial-of-Service Attacks in IEEE 802.22 Networks Coordnated Denal-of-Servce Attacks n IEEE 82.22 Networks Y Tan Department of ECE Stevens Insttute of Technology Hoboken, NJ Emal: ytan@stevens.edu Shamk Sengupta Department of Math. & Comp. Sc. John Jay

More information

Optimality in an Adverse Selection Insurance Economy. with Private Trading. April 2015

Optimality in an Adverse Selection Insurance Economy. with Private Trading. April 2015 Optmalty n an Adverse Selecton Insurance Economy wth Prvate Tradng Aprl 2015 Pamela Labade 1 Abstract An externalty s created n an adverse selecton nsurance economy because of the nteracton between prvate

More information

Helmuth Cremer, Toulouse School of Economics (IDEI and Institut universitaire de

Helmuth Cremer, Toulouse School of Economics (IDEI and Institut universitaire de Taxng sn goods and subsdzng health care Helmuth Cremer, Toulouse School of Economcs (IDEI and Insttut unverstare de France). Phlppe De Donder, Toulouse School of Economcs (GREMAQ-CNRS and IDEI). Daro Maldonado,

More information

How To Study The Nfluence Of Health Insurance On Swtchng

How To Study The Nfluence Of Health Insurance On Swtchng Workng Paper n 07-02 The nfluence of supplementary health nsurance on swtchng behavour: evdence on Swss data Brgtte Dormont, Perre- Yves Geoffard, Karne Lamraud The nfluence of supplementary health nsurance

More information

Calculation of Sampling Weights

Calculation of Sampling Weights Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample

More information

A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm

A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm Avalable onlne www.ocpr.com Journal of Chemcal and Pharmaceutcal Research, 2014, 6(7):1884-1889 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 A hybrd global optmzaton algorthm based on parallel

More information

Buy-side Analysts, Sell-side Analysts and Private Information Production Activities

Buy-side Analysts, Sell-side Analysts and Private Information Production Activities Buy-sde Analysts, Sell-sde Analysts and Prvate Informaton Producton Actvtes Glad Lvne London Busness School Regent s Park London NW1 4SA Unted Kngdom Telephone: +44 (0)0 76 5050 Fax: +44 (0)0 774 7875

More information

Marginal Benefit Incidence Analysis Using a Single Cross-section of Data. Mohamed Ihsan Ajwad and Quentin Wodon 1. World Bank.

Marginal Benefit Incidence Analysis Using a Single Cross-section of Data. Mohamed Ihsan Ajwad and Quentin Wodon 1. World Bank. Margnal Beneft Incdence Analyss Usng a Sngle Cross-secton of Data Mohamed Ihsan Ajwad and uentn Wodon World Bank August 200 Abstract In a recent paper, Lanjouw and Ravallon proposed an attractve and smple

More information

DEFINING %COMPLETE IN MICROSOFT PROJECT

DEFINING %COMPLETE IN MICROSOFT PROJECT CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,

More information

The Personalization Services Firm: What to Sell, Whom to Sell to and For How Much? *

The Personalization Services Firm: What to Sell, Whom to Sell to and For How Much? * The Personalzaton Servces Frm: What to Sell, Whom to Sell to and For How Much? * oseph Pancras Unversty of Connectcut School of Busness Marketng Department 00 Hllsde Road, Unt 04 Storrs, CT 0669-0 joseph.pancras@busness.uconn.edu

More information

Criminal Justice System on Crime *

Criminal Justice System on Crime * On the Impact of the NSW Crmnal Justce System on Crme * Dr Vasls Sarafds, Dscplne of Operatons Management and Econometrcs Unversty of Sydney * Ths presentaton s based on jont work wth Rchard Kelaher 1

More information

Hollinger Canadian Publishing Holdings Co. ( HCPH ) proceeding under the Companies Creditors Arrangement Act ( CCAA )

Hollinger Canadian Publishing Holdings Co. ( HCPH ) proceeding under the Companies Creditors Arrangement Act ( CCAA ) February 17, 2011 Andrew J. Hatnay ahatnay@kmlaw.ca Dear Sr/Madam: Re: Re: Hollnger Canadan Publshng Holdngs Co. ( HCPH ) proceedng under the Companes Credtors Arrangement Act ( CCAA ) Update on CCAA Proceedngs

More information

Fuzzy Set Approach To Asymmetrical Load Balancing In Distribution Networks

Fuzzy Set Approach To Asymmetrical Load Balancing In Distribution Networks Fuzzy Set Approach To Asymmetrcal Load Balancng n Dstrbuton Networks Goran Majstrovc Energy nsttute Hrvoje Por Zagreb, Croata goran.majstrovc@ehp.hr Slavko Krajcar Faculty of electrcal engneerng and computng

More information

Forecasting and Stress Testing Credit Card Default using Dynamic Models

Forecasting and Stress Testing Credit Card Default using Dynamic Models Forecastng and Stress Testng Credt Card Default usng Dynamc Models Tony Bellott and Jonathan Crook Credt Research Centre Unversty of Ednburgh Busness School Verson 4.5 Abstract Typcally models of credt

More information

Evaluating credit risk models: A critique and a new proposal

Evaluating credit risk models: A critique and a new proposal Evaluatng credt rsk models: A crtque and a new proposal Hergen Frerchs* Gunter Löffler Unversty of Frankfurt (Man) February 14, 2001 Abstract Evaluatng the qualty of credt portfolo rsk models s an mportant

More information