EconS 503 Homework #8. Answer Key
|
|
- Lenard Smith
- 6 years ago
- Views:
Transcription
1 EonS 503 Homework #8 Answer Key Exerise #1 Damaged good strategy (Menu riing) 1. It is immediate that otimal rie is = 3 whih yields rofits of ππ = 3/ (the alternative being a rie of = 1, yielding ππ = 1).. The damaged version is sold to the low-valuation onsumers and the normal version to the high-valuation onsumers. Hene, dddddddddddddd = 5/10. To satisfy the inentive onstraint of the high tye, nnnnnnnnnnnn must be hosen suh that 6 10 dddddddddddddd = 1 10 = 3 nnnnnnnnnnnn or, equivalently, nnnnnnnnnnnn = 9/10, whih is less than 3. This results in rofits of (1/)(5/10 1/10) + (1/ )(9/10) = 33/0 > 3/. 3. Hene, the firm makes a higher rofit by introduing the damages version in site of the higher ost of rodution for this version. The high-valuation onsumers are also better off when the damages version is introdued, as they fae a lower rie. Finally, the lowvaluation onsumers obtain zero utility in both ases. The introdution of the damaged version thus results in a Pareto imrovement. Exerise # - Nonlinear riing 1. The monooly hoses to maximize ππ = ( )(1 ). The rofit-maximizing rie is easily found as UU = 1+. The orresonding rofit is ππuu = (1 ). 4. Faing a tariff (mm, ), the artiiation onstraint of a onsumer is CCCC() mm 0, where CCCC() is the onsumer surlus rie. With demand QQ() = 1, we have CCCC() = (1 ). As the monoolist s best interest is to set mm = CCCC(), its roblem is thus to set so as to maximize ππ = CCCC() + ( )(1 ) = 1 (1 )(1 + ). The first-order ondition yields = 0. Hene, the otimal two-art tariff is (mm, ) = (1 ),. The otimal two-art tariff onsists of selling the good at marginal ost, so as to generate the largest onsumer surlus, and in aturing this surlus fully through the fixed fee. The orresonding rofit is ππ TT PP = mm = (1 ). Welfare is maximized under the two-art tariff as it involves marginal ost riing (whereas uniform riing results in a deadweight loss).
2 3. Consumer surlus for agents of tye at any rie is omuted as CCSS () = ( ) 4. We reall from art () of the exerise that CCSS 1 () = (1 ) for any 1. For any rie where the two tyes of onsumer buy (i.e., 1), we hek that CCSS () CCSS 1 (). One otion for the monoolist is to make sure that onsumers of both tyes buy; for this, mm = CCSS 1 () and 1. We then have the same roblem as in art (), with = 1 : (mm, ) = 1, 1 and ππ 8 1 = 1. The alternative otion is to sell only to tye- 8 onsumers with mm = CCSS () and. The monoolist s roblem is then to hoose to maximize ππ = (1/) ( ) + ( 1/)(1 /). 4 The first-order ondition yields = 1/. As = 1/ (i.e., marginal ost riing violates the onstraint), the monoolist hooses a rie of = 1, so that mm = 1/4. The resulting rofit is ππ = 1 1 = 1. Therefore, ππ 4 > ππ 1, imlying that the monoolist refers to sell to tye- onsumers only by setting a rie above marginal ost. Homework #3 Moral Hazard a) The ontrat seifies the ayment ww ss you reeive when you deliver the beer, and the ayment ww FF you reeive when you do not deliver the beer. The two inequalities are the inentive omatibility onstraint and your friend s individual rationality onstraint: 0.9( ee 0.ww SS) + 0.1( ee 0.ww FF) ee 0.(ww FF+5) 0.8(8 ww SS ) + 0.1( ww FF ) 3 (IC) (IR) The solution to these equations (when they hold with equality) is ww SS = 4.81 and ww FF = 1.5. b) The two inequalities are the inentive omatibility onstraint and your own individual rationality onstraint: 0.9( ee 0.ww SS) + 0.1( ee 0.ww FF) ee 0.(ww FF+5) 0.9( ee 0.ww SS) + 0.1( ee 0.ww FF) 1 (IC) (IR) We make these equalities, and solve the two equations. The two imly that ee.(ww FF+5) = 1, and so (taking logs 0. (ww FF + 5) = 0. Hene, ww FF = 5. From (IR), 0.9( ee 0.ww SS) ee 0.( 5) = 1
3 ee 0.ww SS = 1 0.1ee = ww SS = log(0.809) = 0.1 ww SS = 1.06 In the first-best ontrat, it is observable whether the beer is drunken or onfisated, and so that agreement an require that the beer is delivered. The ayment is onstant beause the risk-neutral arty should bear all the risk. The ayment is the solution to your individual rationality onstraint: ee 0.(ww) = 1. Hene, w = 0. Your utility is -1 in both the first-best and seond-best ontrats, beause it is assumed here that your friend gets all the gains from trade. Your friend s utility is higher for the first-best than for the seond-best agreements: Case Utility 1st-best 0.9 (8) +0.1 (0) = (8-1.06) (0 - ( -5)) = nd-best 6.75
4 CHAPTER 4. HIDDEN ACTION, MORAL HAZARD 44 Maximizing with reset to R(x) for every ositive x leads to the following rst order 1 = (x) u 0 (W 0 + R (x) x) = (a) for 8x > (0) = 0, 1 u 0 (W 0 + R (0)) = 1 0 (a) 1 (a) where we assumed that (a) never equals to 0 or 1. In other words, we assume that it is extremely ostly for the agent to ensure there will be no loss whatsoever, but extremely hea to make sure that the loss does not our with robability 1. Given the ositive Lagrange multiliers and 0 (a) < 0, we nd for 8x > 0 1 u 0 (W 0 + R (0)) > 1 > 1 u 0 (W 0 + R (x) x), R (0) > R (x) x: So the otimal ontrat is suh that the insuree is unished when a loss ours, but the unishment is not related to the size of the loss x sine the robability of a larger loss is indeendent of the agent s e ort. Therefore, the seond-best ontrat will indue variation in the insuree s ayo only between 0 and x > 0. The exat shae of the ontrat will be fully determined by the rst order ondition with reset to e ort and the zero-ro t ondition. 4.3 Question 1 Consider a rinial-agent roblem with three exogenous states of nature, 1 ; ; and 3 ; two e ort levels, a L and a H ; and two outut levels, distributed as follows as a funtion of the state of nature and the e ort level: State of nature 1 3 Probability 0:5 0:5 0:5 Outut under a H Outut under a L The rinial is risk neutral while the agent has utility funtion w when reeiving monetary omensation w, minus the ost of e ort, whih is normalized to 0 for a L and to 0.1 for a H. The agent s reservation exeted utility is Derive the rst-best ontrat.. Derive the seond-best ontrat when only outut levels are observable. 3. Assume the rinial an buy for a rie of 0.1 an information system that allows the arties to verify whether state of nature 3 haened or not. Will the rinial buy this information system? Disuss.
5 CHAPTER 4. HIDDEN ACTION, MORAL HAZARD First-Best Contrat The robabilities are as follows: Pr (q = 18ja H ) = 0:75 Pr (q = 18ja L ) = 0:5: Thus, when the rinial an ontrat on the level of e ort, he will solve max 0:5q(a i; 1 ) + 0:5q(a i ; ) + 0:5q(a i ; 3 ) a i;w w subjet to w (ai ) 0:1 Under ation hoie a H, w H 0:1 = 0:1 ) w H = 0:04: Therefore, E P (a H ) = 18 (0:75) + 1 (0:5) 0:04 = 13:71: Under ation hoie a L, w L = 0:1 ) wl = 0:01: Therefore, E P (a L ) = 18 (0:5) + 1 (0:75) 0:01 = 5:4: Thus, the otimal ontrat sei es a = a H and w = 0: Seond-Best Contrat When only outut levels are observable, the otimal ontrat to indue the e ort level a H solves a minimization of the wage bill, subjet to min w 18;w 1 0:75w :5w 1 0:75 w :5 w 1 0:1 0:1 (IR) 0:75 w :5 w 1 0:1 0:5 w :75 w 1. (IC) We an rove that in the two outomes/two ations ase both (IR) and (IC) must be binding at the otimum. If (IR) is not binding, the exeted wage bill an be dereased by lowering w 1 whereas the (IC) will even be relaxed. If (IC) is not binding, but the (IR) is, then we an derease w 18 and inrease w 1 suh that the (IR) is still binding. In artiular, given w1 dw 1 = 3, dw 18 w18
6 CHAPTER 4. HIDDEN ACTION, MORAL HAZARD 46 this would hange the exeted wage bill by w1 0:75dw :5( 3 )dw 18 : w18 By (IC), we have w 1 < w 18. Therefore, a derease in w 18 leads to a negative hange in the wage bill, 0:75(1 r w1 w 18 )dw 18 < 0 With the binding restritions (IR) and (IC), it is easy to nd the otimal wage shedule w 1 = 0:005 w 18 = 0:065: Note that the limited liability onstraint imlied by the utility funtion w is not binding here. The exeted utility of the rinial is E P (a H ) = 13:75 0:065 0:75 0:005 0:5 = 13:705: So the exeted ro t of induing a H is greater than the exeted ro t of induing a L, regardless of whether the e ort level is observable or not Information System For this sei rie the answer is trivially no. The rinial is not willing to buy the information system, beause even with erfet information the highest ro t he an attain is 13:71. Therefore, the maximal gain of using the information system will always be smaller than the ost of imlementing the system, 13:71 13:705 = 0:0075 < 0:1: We now nd the ro ts the rinial an make when state 3 an be observed. Then we an nd for whih rie the rinial would be willing to ay for the information system. Let us denote by y the signal that takes the value 1 when 3 is realized and the value 0 otherwise. If y = 1, the rinial an still not identify the e ort level being exerted. However, when y = 0, only the low e ort level an lead to an outut level of 1. So by enalizing the agent in nitely when q = 1 and y = 0, the rst-best an be attained. Indeed, the agent will hoose the high e ort level to be sure to avoid the unishment. Given that no variation in reeived inome is needed, the high e ort an be imlemented at the lowest ost. However, given the liability onstraint imlied by the utility funtion, the rinial is restrited to ositive levels of omensation. Hene, the rinial will ay w 1 = 0 when the outut is 1 and the signal is 0: In addition, w 18 and w 3, the wages aid when q = 18 and y = 1; q = 1 resetively, are set to solve min w 18;w 3 0:75w :5w 3
7 CHAPTER 4. HIDDEN ACTION, MORAL HAZARD 47 subjet to 0:75 w :5 w 3 0:1 0:1 (IR) 0:75 w :5 w 3 0:1 0:5 w :75 3 w w3. (IC) 3 The inentive omatibility onstraint is binding and simli es to Hene, and 0:75 w 18 0:1 = 0:5 w 18 : w 18 = 0:04: 0: 0:75 0: w 3 = = 0:04: 0:5 So the rst-best an be ahieved by the ontrat w 18 = w 3 = 0:04 and w 1 = 0. Finally, from the alulation above, the rinial will imlement the information system if the ost falls below 0: Question 13 Consider the modi ed linear managerial-inentive-sheme roblem, where the manager s e ort, a a ets urrent ro ts, q 1 = a + " q1, and future ro ts, q = a+" q, where " qt are i.i.d. with normal distribution N(0; q). The manager retires at the end of the rst eriod, and the manager s omensation annot be based on q. However, her omensation an deend on the stok rie P = a + " P, where " P N(0; P ). Derive the otimal omensation ontrat t = w + fq 1 + sp. Disuss how it deends on P and on its relation with q. Comare your solution with that in the Chater CEO Comensation Note that this question uses notation that is not onsistent with the exosition in setion The rogram for this roblem is the following, max a;w;f;s E (q 1 + q t) subjet to E e [t (a)] e t (IR) a arg max E e [t (ba)] (IC) ba t = w + fq 1 + sp
8 CHAPTER 4. HIDDEN ACTION, MORAL HAZARD 48, subjet to max a a;w;f;s (w + fa + sa) w + fa + sa f q + s P + sf qp a t a arg max w + fba + sba ba f q + s P + sf qp ba : We an aly the rst-order aroah and substitute the rst order ondition a = f + s for the inentive omatibility onstraint. Introduing this e ient level of e ort and substituting the outside oortunity level lus the risk remium lus the ost of e ort for the wage, we obtain max f;s + s f f q + s (f + s) P + sf qp t: The rst order onditions with reset to f and s are resetively 4 f q + s qp s P + f qp After some rewriting, the equations beome f + s f + s = 0 = 0: and we nally nd f = s ( + qp ) 1 + q f = s ( + P 1 + qp ), f = s = q + P q + P P qp qp + ( P q qp ) q qp qp + ( P q qp ): 4.4. Comarison Comared to the examle in Chater 4, the imortane of the agent s e ort has doubled for the rinial. Among the ontratible variables, only the imat of a hange in e ort on the stok rie has doubled. Although the agent s e ort
9 CHAPTER 4. HIDDEN ACTION, MORAL HAZARD 49 now determines the outut in two eriods, the outut in the seond eriod is not ontratible. The stok rie therefore beomes a more reise indiator of e ort than the ontratible outut. If we onsider the relative size of the inentives at the otimum f s = P q qp qp and omare this to the equivalent ratio in Chater 4 1 f qp s = P, q qp we notie that the rinial uts relatively more weight on the stok ries. This weight is exatly double when both indiators are indeendent, qp = Question 14 Consider the following rinial-agent roblem. There is a rojet whose robability of suess is a (a is also the e ort made by the risk-neutral agent, at ost a ). In ase of suess the return is R, and in ase of failure the return is 0. The arameter R an take two values, X with robability and 1 with robability 1. To undertake the rojet, the agent needs to borrow an amount I from the rinial. The sequene of events is as follows: First, the rinial o ers the agent a debt ontrat, with fae value D 0. The agent aets or rejets this ontrat. Seond, nature determines the value R that would our in ase of suess. This value is observed by both rinial and agent. The rinial an then hoose to lower the debt from D 0 to D 1. The agent hooses a level of e ort a. This level is not observed by the rinial. The rojet sueeds or not. If the rojet sueeds, the agent ays the minimum of R and the fae value of debt D 1. Answer the following questions: 1. Comute the subgame-erfet equilibrium of this game as a funtion of I,, and X:. When do we have D 1 < D 0? Disuss. 1 In setion f and s and w and t are interhanged.
2.2 BUDGET-CONSTRAINED CHOICE WITH TWO COMMODITIES
Essential Miroeonomis -- 22 BUDGET-CONSTRAINED CHOICE WITH TWO COMMODITIES Continuity of demand 2 Inome effets 6 Quasi-linear, Cobb-Douglas and CES referenes 9 Eenditure funtion 4 Substitution effets and
More informationPanos Kouvelis Olin School of Business Washington University
Quality-Based Cometition, Profitability, and Variable Costs Chester Chambers Co Shool of Business Dallas, TX 7575 hamber@mailosmuedu -768-35 Panos Kouvelis Olin Shool of Business Washington University
More informationProduct Policy in Markets with Word-of-Mouth Communication. Technical Appendix
rodut oliy in Markets with Word-of-Mouth Communiation Tehnial Appendix August 05 Miro-Model for Inreasing Awareness In the paper, we make the assumption that awareness is inreasing in ustomer type. I.e.,
More informationNONLINEAR MODEL: CELL FORMATION
ational Institute of Tehnology Caliut Deartment of Mehanial Engineering OLIEAR MODEL: CELL FORMATIO System Requirements and Symbols 0-Integer Programming Formulation α i - umber of interell transfers due
More informationSolutions to Problem Set 1
Eon602: Maro Theory Eonomis, HKU Instrutor: Dr. Yulei Luo September 208 Solutions to Problem Set. [0 points] Consider the following lifetime optimal onsumption-saving problem: v (a 0 ) max f;a t+ g t t
More informationEE451/551: Digital Control. Relationship Between s and z Planes. The Relationship Between s and z Planes 11/10/2011
/0/0 EE45/55: Digital Control Chater 6: Digital Control System Design he Relationshi Between s and Planes As noted reviously: s j e e e e r s j where r e and If an analog system has oles at: s n jn a jd
More informationMicroeconomic Theory I Assignment #7 - Answer key
Miroeonomi Theory I Assignment #7 - Answer key. [Menu priing in monopoly] Consider the example on seond-degree prie disrimination (see slides 9-93). To failitate your alulations, assume H = 5, L =, and
More informationCSC321: 2011 Introduction to Neural Networks and Machine Learning. Lecture 10: The Bayesian way to fit models. Geoffrey Hinton
CSC31: 011 Introdution to Neural Networks and Mahine Learning Leture 10: The Bayesian way to fit models Geoffrey Hinton The Bayesian framework The Bayesian framework assumes that we always have a rior
More informationMethods of evaluating tests
Methods of evaluating tests Let X,, 1 Xn be i.i.d. Bernoulli( p ). Then 5 j= 1 j ( 5, ) T = X Binomial p. We test 1 H : p vs. 1 1 H : p>. We saw that a LRT is 1 if t k* φ ( x ) =. otherwise (t is the observed
More informationCONSTRUCTION OF MIXED SAMPLING PLAN WITH DOUBLE SAMPLING PLAN AS ATTRIBUTE PLAN INDEXED THROUGH (MAPD, MAAOQ) AND (MAPD, AOQL)
Global J. of Arts & Mgmt., 0: () Researh Paer: Samath kumar et al., 0: P.07- CONSTRUCTION OF MIXED SAMPLING PLAN WITH DOUBLE SAMPLING PLAN AS ATTRIBUTE PLAN INDEXED THROUGH (MAPD, MAAOQ) AND (MAPD, AOQL)
More informationOn the Licensing of Innovations under Strategic Delegation
On the Liensing of Innovations under Strategi Delegation Judy Hsu Institute of Finanial Management Nanhua University Taiwan and X. Henry Wang Department of Eonomis University of Missouri USA Abstrat This
More informationRisk Analysis in Water Quality Problems. Souza, Raimundo 1 Chagas, Patrícia 2 1,2 Departamento de Engenharia Hidráulica e Ambiental
Risk Analysis in Water Quality Problems. Downloaded from aselibrary.org by Uf - Universidade Federal Do Ceara on 1/29/14. Coyright ASCE. For ersonal use only; all rights reserved. Souza, Raimundo 1 Chagas,
More informationCSC321: 2011 Introduction to Neural Networks and Machine Learning. Lecture 11: Bayesian learning continued. Geoffrey Hinton
CSC31: 011 Introdution to Neural Networks and Mahine Learning Leture 11: Bayesian learning ontinued Geoffrey Hinton Bayes Theorem, Prior robability of weight vetor Posterior robability of weight vetor
More informationHonest Agents in a Corrupt Equilibrium *
Honest Agents in a Corrut Equilibrium * ALEX HENKE Deartment of Eonomis University of Washington November 2015 Abstrat I onstrut a rinial agent auditor taxation model with adverse seletion in whih the
More informationTaste for variety and optimum product diversity in an open economy
Taste for variety and optimum produt diversity in an open eonomy Javier Coto-Martínez City University Paul Levine University of Surrey Otober 0, 005 María D.C. Garía-Alonso University of Kent Abstrat We
More informationEXTENDED MATRIX CUBE THEOREMS WITH APPLICATIONS TO -THEORY IN CONTROL
MATHEMATICS OF OPERATIONS RESEARCH Vol. 28, No. 3, August 2003,. 497 523 Printed in U.S.A. EXTENDED MATRIX CUBE THEOREMS WITH APPLICATIONS TO -THEORY IN CONTROL AHARON BEN-TAL, ARKADI NEMIROVSKI, and CORNELIS
More informationTheory of Externalities Partial Equilibrium Analysis
Theory of Externalities Partial Equilibrium Analysis Definition: An externality is resent whenever the well being of a consumer or the roduction ossibilities of a firm are directly affected by the actions
More informationProportional-Integral-Derivative PID Controls
Proortional-Integral-Derivative PID Controls Dr M.J. Willis Det. of Chemial and Proess Engineering University of Newastle e-mail: mark.willis@nl.a.uk Written: 7 th November, 998 Udated: 6 th Otober, 999
More informationkids (this case is for j = 1; j = 2 case is similar). For the interior solution case, we have 1 = c (x 2 t) + p 2
Problem 1 There are two subgames, or stages. At stage 1, eah ie ream parlor i (I all it firm i from now on) selets loation x i simultaneously. At stage 2, eah firm i hooses pries p i. To find SPE, we start
More informationA Queueing Model for Call Blending in Call Centers
A Queueing Model for Call Blending in Call Centers Sandjai Bhulai and Ger Koole Vrije Universiteit Amsterdam Faulty of Sienes De Boelelaan 1081a 1081 HV Amsterdam The Netherlands E-mail: {sbhulai, koole}@s.vu.nl
More informationEcon 101A Midterm 2 Th 8 April 2009.
Econ A Midterm Th 8 Aril 9. You have aroximately hour and minutes to answer the questions in the midterm. I will collect the exams at. shar. Show your work, and good luck! Problem. Production (38 oints).
More informationOptimal Sales Force Compensation
University of Konstanz Department of Eonomis Optimal Sales Fore Compensation Matthias Kräkel and Anja Shöttner Working Paper Series 2014-09 http://www.wiwi.uni-konstanz.de/eondo/working-paper-series/ Konstanzer
More informationWEIGHTED MAXIMUM OVER MINIMUM MODULUS OF POLYNOMIALS, APPLIED TO RAY SEQUENCES OF PADÉ APPROXIMANTS
WEIGHTED MAXIMUM OVER MINIMUM MODULUS OF POLYNOMIALS, APPLIED TO RAY SEQUENCES OF PADÉ APPROXIMANTS D.S. LUBINSKY Abstrat. Let a 0; " > 0. We use otential theory to obtain a shar lower bound for the linear
More informationSubject: Modeling of Thermal Rocket Engines; Nozzle flow; Control of mass flow. p c. Thrust Chamber mixing and combustion
16.50 Leture 6 Subjet: Modeling of Thermal Roket Engines; Nozzle flow; Control of mass flow Though onetually simle, a roket engine is in fat hysially a very omlex devie and diffiult to reresent quantitatively
More informationThe Hanging Chain. John McCuan. January 19, 2006
The Hanging Chain John MCuan January 19, 2006 1 Introdution We onsider a hain of length L attahed to two points (a, u a and (b, u b in the plane. It is assumed that the hain hangs in the plane under a
More informationTrading OTC and Incentives to Clear Centrally
Trading OTC and Incentives to Clear Centrally Gaetano Antinolfi Francesca Caraella Francesco Carli March 1, 2013 Abstract Central counterparties CCPs have been art of the modern financial system since
More informationComplete Shrimp Game Solution
Complete Shrimp Game Solution Florian Ederer Feruary 7, 207 The inverse demand urve is given y P (Q a ; Q ; Q ) = 00 0:5 (Q a + Q + Q ) The pro t funtion for rm i = fa; ; g is i (Q a ; Q ; Q ) = Q i [P
More informationINCOME AND SUBSTITUTION EFFECTS
3076-C5.df 3/12/04 10:56 AM Page 121 121 Chater 5 INCOME AND SUBSTITUTION EFFECTS In this hater we will use the utility-maimization model to study how the quantity of a good that an individual hooses is
More informationEconomics 101. Lecture 7 - Monopoly and Oligopoly
Economics 0 Lecture 7 - Monooly and Oligooly Production Equilibrium After having exlored Walrasian equilibria with roduction in the Robinson Crusoe economy, we will now ste in to a more general setting.
More informationToo Poor for School? Social Background E ects on School and University Opportunities
Too Poor for Shool? Soial Bakground E ets on Shool and University Oortunities Alessandro Tamieri y University of Leiester June 7, 2010 Abstrat This aer studies how students soial bakground a ets shool
More informationInternet Appendix for Proxy Advisory Firms: The Economics of Selling Information to Voters
Internet Appendix for Proxy Advisory Firms: The Eonomis of Selling Information to Voters Andrey Malenko and Nadya Malenko The first part of the Internet Appendix presents the supplementary analysis for
More informationComplexity of Regularization RBF Networks
Complexity of Regularization RBF Networks Mark A Kon Department of Mathematis and Statistis Boston University Boston, MA 02215 mkon@buedu Leszek Plaskota Institute of Applied Mathematis University of Warsaw
More informationarxiv: v1 [cs.db] 30 Jun 2012
Mining Statistially Signifiant Substrings using the Chi-Square Statisti Mayank Sahan mayasa@se.iitk.a.in Det. of Comuter Siene and Engineering Indian Institute of Tehnology, Kanur INDIA Arnab Bhattaharya
More informationAppendix A Market-Power Model of Business Groups. Robert C. Feenstra Deng-Shing Huang Gary G. Hamilton Revised, November 2001
Appendix A Market-Power Model of Business Groups Roert C. Feenstra Deng-Shing Huang Gary G. Hamilton Revised, Novemer 200 Journal of Eonomi Behavior and Organization, 5, 2003, 459-485. To solve for the
More informationFundamental Theorem of Calculus
Chater 6 Fundamental Theorem of Calulus 6. Definition (Nie funtions.) I will say that a real valued funtion f defined on an interval [a, b] is a nie funtion on [a, b], if f is ontinuous on [a, b] and integrable
More informationSubject: Introduction to Component Matching and Off-Design Operation % % ( (1) R T % (
16.50 Leture 0 Subjet: Introdution to Component Mathing and Off-Design Operation At this point it is well to reflet on whih of the many parameters we have introdued (like M, τ, τ t, ϑ t, f, et.) are free
More informationChapter 8 Hypothesis Testing
Leture 5 for BST 63: Statistial Theory II Kui Zhang, Spring Chapter 8 Hypothesis Testing Setion 8 Introdution Definition 8 A hypothesis is a statement about a population parameter Definition 8 The two
More informationHandout #3: Peak Load Pricing
andout #3: Peak Load Pricing Consider a firm that exeriences two kinds of costs a caacity cost and a marginal cost ow should caacity be riced? This issue is alicable to a wide variety of industries, including
More informationMoral Hazard: Hidden Action
Moral Hazard: Hidden Action Part of these Notes were taken (almost literally) from Rasmusen, 2007 UIB Course 2013-14 (UIB) MH-Hidden Actions Course 2013-14 1 / 29 A Principal-agent Model. The Production
More informationCommon Value Auctions with Costly Entry
Common Value Autions with Costly Entry Pauli Murto Juuso Välimäki June, 205 preliminary and inomplete Abstrat We onsider a model where potential bidders onsider paying an entry ost to partiipate in an
More informationMULTIPLE SOLUTIONS FOR A CLASS OF DIRICHLET QUASILINEAR ELLIPTIC SYSTEMS DRIVEN BY A (P, Q)-LAPLACIAN OPERATOR
Dynami Systems Aliations 20 (2011) 89-100 MULTIPLE SOLUTIONS FOR A CLASS OF DIRICHLET QUASILINEAR ELLIPTIC SYSTEMS DRIVEN BY A (P, Q)-LAPLACIAN OPERATOR GABRIELE BONANNO a, SHAPOUR HEIDARKHANI b, AND DONAL
More informationJournal of Inequalities in Pure and Applied Mathematics
Journal of Inequalities in Pure and Applied Mathematis A NEW ARRANGEMENT INEQUALITY MOHAMMAD JAVAHERI University of Oregon Department of Mathematis Fenton Hall, Eugene, OR 97403. EMail: javaheri@uoregon.edu
More informationRegulating the Natural Gas Transportation Industry : Optimal Pricing Policy of a Monopolist with Advance-Purchase and Spot Markets
Regulating the Natural Gas Transortation Industry : Otimal Priing Poliy of a Monoolist with Advane-Purhase and Sot Markets Laurent David Mihel Le Breton y Olivier Merillon z Aril 007 - Preliminary Version.
More informationEmergence of Superpeer Networks: A New Perspective
Emergene o Suereer Networs: A New Persetive Bivas Mitra Deartment o Comuter Siene & Engineering Indian Institute o Tehnology, Kharagur, India Peer to Peer arhiteture Node Node Node Internet Node Node All
More informationPrivate Label Positioning and Product Line
17 816 May 2017 Private Label Positioning and Produt Line Stéphane Caprie Private Label Positioning and Produt Line Stéphane Caprie 29 May 2017 Abstrat This artile examines i) how retailers position private
More informationINFORMATION TRANSFER THROUGH CLASSIFIERS AND ITS RELATION TO PROBABILITY OF ERROR
IFORMATIO TRAFER TROUG CLAIFIER AD IT RELATIO TO PROBABILITY OF ERROR Deniz Erdogmus, Jose C. Prini Comutational euroengineering Lab (CEL, University of Florida, Gainesville, FL 6 [deniz,rini]@nel.ufl.edu
More informationPlanar Undulator Considerations
LCC-0085 July 2002 Linear Collider Collaboration Teh Notes Planar Undulator Considerations John C. Sheard Stanford Linear Aelerator Center Stanford University Menlo Park, California Abstrat: This note
More information4. CONTINUOUS VARIABLES AND ECONOMIC APPLICATIONS
STATIC GAMES 4. CONTINUOUS VARIABLES AND ECONOMIC APPLICATIONS Universidad Carlos III de Madrid CONTINUOUS VARIABLES In many games, ure strategies that layers can choose are not only, 3 or any other finite
More information5.1 Composite Functions
SECTION. Composite Funtions 7. Composite Funtions PREPARING FOR THIS SECTION Before getting started, review the following: Find the Value of a Funtion (Setion., pp. 9 ) Domain of a Funtion (Setion., pp.
More informationAny AND-OR formula of size N can be evaluated in time N 1/2+o(1) on a quantum computer
Any AND-OR formula of size N an be evaluated in time N /2+o( on a quantum omuter Andris Ambainis, ambainis@math.uwaterloo.a Robert Šalek salek@ees.berkeley.edu Andrew M. Childs, amhilds@uwaterloo.a Shengyu
More informationON THE LEAST PRIMITIVE ROOT EXPRESSIBLE AS A SUM OF TWO SQUARES
#A55 INTEGERS 3 (203) ON THE LEAST PRIMITIVE ROOT EPRESSIBLE AS A SUM OF TWO SQUARES Christopher Ambrose Mathematishes Institut, Georg-August Universität Göttingen, Göttingen, Deutshland ambrose@uni-math.gwdg.de
More informationMASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Physics Physics IC-W08D2-11 Jumping Off as Flatcar Solution
N eole, eah o mass MASSACHUSETTS INSTITUTE OF TECHNOLOGY Deartment o Physis Physis 8.01 IC-W08D2-11 Juming O as Flatar Solution m, stand on a railway latar o mass m. They jum o one end o the latar with
More informationarxiv: v1 [cs.gt] 21 Jul 2017
RSU II ommuniation Cyber attaks Otimal Seure Multi-Layer IoT Network Design Juntao Chen, Corinne Touati, and Quanyan Zhu arxiv:1707.07046v1 [s.gt] 1 Jul 017 Abstrat With the remarkable growth of the Internet
More informationTransmission charging and market distortion
Transmission charging and market distortion Andy Philott Tony Downward Keith Ruddell s Electric Power Otimization Centre University of Auckland www.eoc.org.nz IPAM worksho, UCLA January 13, 2016 1/56 Outline
More informationDetermination of the reaction order
5/7/07 A quote of the wee (or amel of the wee): Apply yourself. Get all the eduation you an, but then... do something. Don't just stand there, mae it happen. Lee Iaoa Physial Chemistry GTM/5 reation order
More information6 Dynamic Optimization in Continuous Time
6 Dynami Optimization in Continuous Time 6.1 Dynami programming in ontinuous time Consider the problem Z T max e rt u (k,, t) dt (1) (t) T s.t. k ú = f (k,, t) (2) k () = k, (3) with k (T )= k (ase 1),
More informationProblem 1(a): At equal times or in the Schrödinger picture the quantum scalar fields ˆΦ a (x) and ˆΠ a (x) satisfy commutation relations
PHY 396 K. Solutions for homework set #7. Problem 1a: At equal times or in the Shrödinger iture the quantum salar fields ˆΦ a x and ˆΠ a x satisfy ommutation relations ˆΦa x, ˆΦ b y 0, ˆΠa x, ˆΠ b y 0,
More information2. The Energy Principle in Open Channel Flows
. The Energy Priniple in Open Channel Flows. Basi Energy Equation In the one-dimensional analysis of steady open-hannel flow, the energy equation in the form of Bernoulli equation is used. Aording to this
More informationLecture 3 - Lorentz Transformations
Leture - Lorentz Transformations A Puzzle... Example A ruler is positioned perpendiular to a wall. A stik of length L flies by at speed v. It travels in front of the ruler, so that it obsures part of the
More informationInternal Model Control
Internal Model Control Part o a et o leture note on Introdution to Robut Control by Ming T. Tham 2002 The Internal Model Prinile The Internal Model Control hiloohy relie on the Internal Model Prinile,
More informationTakeshi Kurata Jun Fujiki Katsuhiko Sakaue. 1{1{4 Umezono, Tsukuba-shi, Ibaraki , JAPAN. fkurata, fujiki,
Ane Eiolar Geometry via Fatorization Method akeshi Kurata Jun Fujiki Katsuhiko Sakaue Eletrotehnial Laboratory {{4 Umezono, sukuba-shi, Ibaraki 305-8568, JAPAN fkurata, fujiki, sakaueg@etl.go.j Abstrat
More informationStrauss PDEs 2e: Section Exercise 3 Page 1 of 13. u tt c 2 u xx = cos x. ( 2 t c 2 2 x)u = cos x. v = ( t c x )u
Strauss PDEs e: Setion 3.4 - Exerise 3 Page 1 of 13 Exerise 3 Solve u tt = u xx + os x, u(x, ) = sin x, u t (x, ) = 1 + x. Solution Solution by Operator Fatorization Bring u xx to the other side. Write
More informationVolume 29, Issue 3. On the definition of nonessentiality. Udo Ebert University of Oldenburg
Volume 9, Issue 3 On the definition of nonessentiality Udo Ebert University of Oldenburg Abstrat Nonessentiality of a good is often used in welfare eonomis, ost-benefit analysis and applied work. Various
More informationDesigning Social Norm Based Incentive Schemes to Sustain Cooperation in a Large Community
Designing Soial Norm Based Inentive Shemes to Sustain Cooperation in a arge Community Yu Zhang, Jaeo Par, Mihaela van der Shaar Eletrial Engineering Department, University of California, os Angeles yuzhang@ula.edu,
More informationMicroeconomic Theory (501b) Problem Set 10. Auctions and Moral Hazard Suggested Solution: Tibor Heumann
Dirk Bergemann Department of Economics Yale University Microeconomic Theory (50b) Problem Set 0. Auctions and Moral Hazard Suggested Solution: Tibor Heumann 4/5/4 This problem set is due on Tuesday, 4//4..
More informationCOMMUNICATION BETWEEN SHAREHOLDERS 1
COMMUNICATION BTWN SHARHOLDRS 1 A B. O A : A D Lemma B.1. U to µ Z r 2 σ2 Z + σ2 X 2r ω 2 an additive constant that does not deend on a or θ, the agents ayoffs can be written as: 2r rθa ω2 + θ µ Y rcov
More informationThe Hyperbolic Region for Restricted Isometry Constants in Compressed Sensing
INTERNATIONAL JOURNAL OF CIRCUITS SYSTEMS AND SIGNAL PROCESSING Volume 8 Te Hyeroli Region for Restrited Isometry Constants in Comressed Sensing Siqing Wang Yan Si and Limin Su Astrat Te restrited isometry
More informationSimple Cyclic loading model based on Modified Cam Clay
Simle li loading model based on Modified am la Imlemented in RISP main rogram version 00. and higher B Amir Rahim, The RISP onsortium Ltd Introdution This reort resents a simle soil model whih rovides
More informationLecture Notes - Dynamic Moral Hazard
Lecture Notes - Dynamic Moral Hazard Simon Board and Moritz Meyer-ter-Vehn October 23, 2012 1 Dynamic Moral Hazard E ects Consumption smoothing Statistical inference More strategies Renegotiation Non-separable
More informationx ax 1 2 bx2 a bx =0 x = a b. Hence, a consumer s willingness-to-pay as a function of liters on sale, 1 2 a 2 2b, if l> a. (1)
Answers to Exam Economics 201b First Half 1. (a) Observe, first, that no consumer ever wishes to consume more than 3/2 liters (i.e., 1.5 liters). To see this, observe that, even if the beverage were free,
More informationGame Theory and Economics of Contracts Lecture 5 Static Single-agent Moral Hazard Model
Game Theory and Economics of Contracts Lecture 5 Static Single-agent Moral Hazard Model Yu (Larry) Chen School of Economics, Nanjing University Fall 2015 Principal-Agent Relationship Principal-agent relationship
More informationReal-time Hand Tracking Using a Sum of Anisotropic Gaussians Model
Real-time Hand Traking Using a Sum of Anisotroi Gaussians Model Srinath Sridhar 1, Helge Rhodin 1, Hans-Peter Seidel 1, Antti Oulasvirta 2, Christian Theobalt 1 1 Max Plank Institute for Informatis Saarbrüken,
More informationSolutions to exercises on delays. P (x = 0 θ = 1)P (θ = 1) P (x = 0) We can replace z in the first equation by its value in the second equation.
Ec 517 Christohe Chamley Solutions to exercises on delays Ex 1: P (θ = 1 x = 0) = P (x = 0 θ = 1)P (θ = 1) P (x = 0) = 1 z)µ (1 z)µ + 1 µ. The value of z is solution of µ c = δµz(1 c). We can relace z
More informationPublic School Choice: An Economic Analysis
Publi Shool Choie: An Eonomi Analysis Levon Barseghyan, Damon Clark and Stephen Coate May 25, 2018 Abstrat Publi shool hoie programs give households a hoie of publi shool and enourage shools to ompete
More informationTeoria das organizações e contratos
Teoria das organizações e contratos Chapter 6: Adverse Selection with two types Mestrado Profissional em Economia 3 o trimestre 2015 EESP (FGV) Teoria das organizações e contratos 3 o trimestre 2015 1
More informationFast, Approximately Optimal Solutions for Single and Dynamic MRFs
Fast, Aroximately Otimal Solutions for Single and Dynami MRFs Nikos Komodakis, Georgios Tziritas University of Crete, Comuter Siene Deartment {komod,tziritas}@sd.uo.gr Nikos Paragios MAS, Eole Centrale
More informationOn Some Coefficient Estimates For Certain Subclass of Analytic And Multivalent Functions
IOSR Journal of Mathematis (IOSR-JM) e-issn: 78-578, -ISSN: 9-765X. Volume, Issue 6 Ver. I (Nov. - De.06), PP 58-65 www.iosrournals.org On Some Coeffiient Estimates For Certain Sublass of nalyti nd Multivalent
More information7 Max-Flow Problems. Business Computing and Operations Research 608
7 Max-Flow Problems Business Computing and Operations Researh 68 7. Max-Flow Problems In what follows, we onsider a somewhat modified problem onstellation Instead of osts of transmission, vetor now indiates
More informationEssays on Competition: Contests, Personnel Economics, and Corporate Citizenship. Dylan Blu Minor
Essays on Competition: Contests, Personnel Eonomis, and Corporate Citizenship By Dylan Blu Minor A dissertation submitted in partial satisfation of the requirements for the degree of Dotor of Philosophy
More informationA NETWORK SIMPLEX ALGORITHM FOR THE MINIMUM COST-BENEFIT NETWORK FLOW PROBLEM
NETWORK SIMPLEX LGORITHM FOR THE MINIMUM COST-BENEFIT NETWORK FLOW PROBLEM Cen Çalışan, Utah Valley University, 800 W. University Parway, Orem, UT 84058, 801-863-6487, en.alisan@uvu.edu BSTRCT The minimum
More informationModule 8: Multi-Agent Models of Moral Hazard
Module 8: Multi-Agent Models of Moral Hazard Information Economics (Ec 515) George Georgiadis Types of models: 1. No relation among agents. an many agents make contracting easier? 2. Agents shocks are
More informationLecture Notes - Dynamic Moral Hazard
Lecture Notes - Dynamic Moral Hazard Simon Board and Moritz Meyer-ter-Vehn October 27, 2011 1 Marginal Cost of Providing Utility is Martingale (Rogerson 85) 1.1 Setup Two periods, no discounting Actions
More informationCopyright protection and innovation in the presence of. commercial piracy *
Coyright rotetion and innovation in the resene of oerial iray Dyuti S Banerjee Deartent of Eonois, Monash University, Australia E-ail: dyutibanerjee@buseoeduau Teyu Chou Deartent of Publi Finane, National
More information1 Riskaversion and intertemporal substitution under external habits.
Riskaversion and intertemporal substitution under external habits. Reall that e de ne the oe ient of relative riskaversion as R r u00 ( ) u 0 ( ) so for CRRA utility e have u () R r t ; hih determines
More informationsilicon wafers p b θ b IR heater θ h p h solution bath cleaning filter bellows pump
An Analysis of Cometitive Assoiative Net for Temerature Control of RCA Cleaning Solutions S Kurogi y, H Nobutomo y, T Nishida y, H Sakamoto y, Y Fuhikawa y, M Mimata z and K Itoh z ykyushu Institute of
More informationLesson 23: The Defining Equation of a Line
Student Outomes Students know that two equations in the form of ax + y = and a x + y = graph as the same line when a = = and at least one of a or is nonzero. a Students know that the graph of a linear
More informationMaintaining prediction quality under the condition of a growing knowledge space. A probabilistic dynamic model of knowledge spaces quality evolution
Maintaining redition quality under the ondition of a growing knowledge sae Christoh Jahnz ORCID: 0000-0003-3297-7564 Email: jahnz@gmx.de Intelligene an be understood as an agent s ability to redit its
More informationHong Chen. and. Murray Frank 1. and. Hong Kong University of Science and Technology. March 30, Abstract
Monopoly Priing When Customers Queue Hong Chen Faulty of Commere and Business Administration University of British Columbia, Vanouver, B.C. Canada and Murray Frank Faulty of Commere and Business Administration
More information1 C 6, 3 4, 4. Player S 5, 2 3, 1
University of alifornia, Davis - Deartment of Economics PRING EN / ARE : MIROEONOMI TEORY Professor Giacomo Bonanno ====================================================================== MIDTERM EXAM ANWER
More informationScreening. Diego Moreno Universidad Carlos III de Madrid. Diego Moreno () Screening 1 / 1
Screening Diego Moreno Universidad Carlos III de Madrid Diego Moreno () Screening 1 / 1 The Agency Problem with Adverse Selection A risk neutral principal wants to o er a menu of contracts to be o ered
More informationWord of Mass: The Relationship between Mass Media and Word-of-Mouth
Word of Mass: The Relationship between Mass Media and Word-of-Mouth Roman Chuhay Preliminary version Marh 6, 015 Abstrat This paper studies the optimal priing and advertising strategies of a firm in the
More informationMost results in this section are stated without proof.
Leture 8 Level 4 v2 he Expliit formula. Most results in this setion are stated without proof. Reall that we have shown that ζ (s has only one pole, a simple one at s =. It has trivial zeros at the negative
More informationMaximum entropy generation rate in a heat exchanger at constant inlet parameters
Maximum entroy generation rate in a heat exhanger at onstant inlet arameters Rafał LASKOWSKI, Maiej JAWORSKI Online: htt://www.jmee.tu.koszalin.l/download_artile/jmee_7 7986.df Cite this artile as: Laskowski
More informationWorking Paper. Middlemen, Non-Profits, and Poverty. Nancy H. Chau, Hideaki Goto, and Ravi Kanbur. WP September 2009
WP 2009-30 Setember 2009 Working Paer Deartment of Alied Eonomis and Management Cornell University, Ithaa, New York 14853-7801 USA Middlemen, Non-Profits, and Poverty Nany H. Chau, Hideaki Goto, and Ravi
More informationSOLVED QUESTIONS 1 / 2. in a closed container at equilibrium. What would be the effect of addition of CaCO 3 on the equilibrium concentration of CO 2?
SOLVED QUESTIONS Multile Choie Questions. and are the veloity onstants of forward and bakward reations. The equilibrium onstant k of the reation is (A) (B) (C) (D). Whih of the following reations will
More informationIncentives in Crowdsourcing
Inentives in Crowdsouring J. Aislinn Bohren University of California, San Diego Troy Kravitz University of California, San Diego January 2, 202 Abstrat Crowdsouring is the proess of delegating tasks to
More informationA Characterization of Wavelet Convergence in Sobolev Spaces
A Charaterization of Wavelet Convergene in Sobolev Spaes Mark A. Kon 1 oston University Louise Arakelian Raphael Howard University Dediated to Prof. Robert Carroll on the oasion of his 70th birthday. Abstrat
More informationEC476 Contracts and Organizations, Part III: Lecture 2
EC476 Contracts and Organizations, Part III: Lecture 2 Leonardo Felli 32L.G.06 19 January 2015 Moral Hazard: Consider the contractual relationship between two agents (a principal and an agent) The principal
More informationA General Approach for Analysis of Actuator Delay Compensation Methods for Real-Time Testing
The th World Conferene on Earthquake Engineering Otober -7, 8, Beijing, China A General Aroah for Analysis of Atuator Delay Comensation Methods for Real-Time Testing Cheng Chen and James M. Riles Post-dotoral
More informationSensitivity Analysis in Markov Networks
Sensitivity Analysis in Markov Networks Hei Chan and Adnan Darwihe Computer Siene Department University of California, Los Angeles Los Angeles, CA 90095 {hei,darwihe}@s.ula.edu Abstrat This paper explores
More information