Competition and Moral Hazard

Size: px
Start display at page:

Download "Competition and Moral Hazard"

Transcription

1 Competition and Moral Hazard Shingo Ishiguro Graduate School of Economics Osaka University February 2004 Abstract This paper investigates the equilibrium consequences of a contractual market with moral hazard where multiple principals compete each other to offer incentive contracts to agents who choose unobservable ex post actions. We employ the approach of directed search and provide the robust predictions for the limit equilibrium as competition becomes sufficiently intense. In particular we show that simple contracts emerge as equilibrium outcomes in highly competitive environments: First, when the trade off between incentive and risk sharing causes the moral hazard problem on the side of agents, the full insurance contract, which makes the payments to agents constant across all state realizations, can be a unique limit symmetric equilibrium as the number of competing principals becomes sufficiently large. Thus the equilibrium contract can be uniquely characterized by the low-powered incentive scheme in the limit. On the other hand, when agents are risk neutral but the moral hazard problem stems only from their limited wealth, the first best contract which attains the maximum social welfare can be a unique limit equilibrium. JEL Classification Numbers: D80, D82 Keywords: Competition, Directed Search, Limited Liability, Moral Hazard, Risk Sharing, Unique Limit Equilibrium I am grateful to seminar participants at Contract Theory Workshop (CTW) and Kobe University for useful comments and discussions. I would also like to thank Hideshi Itoh, Hideo Konishi, Tadashi Sekiguchi and Hideo Suehiro for valuable comments. Of course all remaining errors are my own responsibility. I also acknowledge a financial support from Grant in Aid for Young Scientists (No ) by Japan Society for the Promotion of Science. Correspondence: Shingo Ishiguro, Graduate School of Economics, Osaka University, 1-7 Machikaneyama, Toyonaka, Osaka , Japan. Phone: Fax: ishiguro@econ.osaka-u.ac.jp 1

2 1 Introduction This paper studies the equilibrium consequences of a contractual market with moral hazard where multiple principals compete each other by offering incentive contracts to attract agents who choose unobservable ex post actions after contracts are signed. In particular we will address the issues of what incentive contract emerges in the limit equilibrium as the number of competing principals becomes sufficiently large and of how the efficiency loss of the market caused by the moral hazard problem tends to be decreased or increased as market competition is sufficiently intense. In this attempt we will provide the robust predictions for the limit equilibrium. In particular we will show that simple contracts emerge as equilibrium outcomes in highly competitive environments. There are many relevant examples about the contractual markets with two features mentioned above: the moral hazard problem on the side of agents who accept contracts and the competition among principals who offer contracts. For example consider a labor market where many firms compete each other to attract workers by offering wage contracts. The workers may choose unobservable efforts after they are hired. In loan markets lenders offer loan contracts to borrowers who choose some unobservable actions (e.g., project choices) after contracts are signed. In insurance markets insurance companies are engaged in competition for attracting insured agents whose ex post actions affect their probabilities of facing accidents. The equilibrium contract forms emerged in those contractual markets depend on how many principals and agents participate in the market and how they find trading partners as well as what agency problems arise in each principal agent relationship. These are in contrast with the standard bilaterally monopoly agency model in which one principal is assumed to contract with agents. Our model is based on the so called directed search model in which principals simultaneously offer contracts and then each agent independently selects one principal to visit, given an offered contract profile. Since we suppose that each principal needs at most one agent, some agents may be rationed in equilibrium. Our focus is then on the symmetric subgame perfect Nash equilibria (SSPE) in which all principals offer the same contract and all agents play the same mixed strategy to visit each principal with equal probability, given an equilibrium contract profile. It is known that this class of equilibria has some desirable properties such as continuity and robustness to small perturbation of the model, which are the reasons we will confine our attention to these equilibria. 1 Our main result is that whether or not the SSPE contract becomes high powered and mitigates the moral hazard problem when the number of competing principals becomes large enough depends on the source of 1 See Burdett, Shi and Wright (2001) for more detailed discussion on this issue. 2

3 the efficiency loss by the moral hazard problem. If the efficiency loss stems from the standard trade off between incentives and risk sharing, the limit equilibrium becomes the full insurance contract which makes the payment to agents constant across all state realizations. This in turn implies that the efficiency loss of the market may be increased by tighter competition. However, if the moral hazard problem is due to only the limited wealth of risk neutral agents, the limit equilibrium becomes the first best contract which attains the maximum social welfare of the market. The moral hazard problem can be thus fully resolved in the limit. The basic intuition behind the above two contrast results is as follows: A highly competitive market may force the competing principals to offer a contract which ensures a large equilibrium rent to the agents. Such high rent in turn changes the equilibrium action choice of the agents in the different ways, depending on whether or not risk sharing matters: All hired agents are motivated to choose the least costly action in the limit when they are risk averse while they are induced to choose the first best action in the limit when they are risk neutral but wealth constrained. In the former case, it becomes too costly for the principals to impose any risk on the risk averse agents when they must be guaranteed a large equilibrium rent. Thus intense competition among principals results in lower powered incentives. However, in the latter case, large equilibrium rent helps to make the limited liability constraint slack and hence derive the correct action choice from the risk neutral agents. This effect can work to resolve the moral hazard problem by limited liability. Recently several papers have focused on competing mechanism design (see Inderst (2001), McAfee (1993) and Peters (1997, 2001)). These papers have mainly analyzed the issues of adverse selection where private information arises ex ante before mechanisms are offered. McAfee (1993) examined a dynamic model in which many sellers compete each other to offer general price quantity schedules to buyers who have private information about their own values on the goods and showed that holding the second price auction by each seller can be a stationary equilibrium. 2 Inderst (2001) considered a matching model in which agents have ex ante private information and both principals and agents have bargaining powers to make contract offers. Inderst showed that the distortions by adverse selection disappear when the market frictions become sufficiently low. The common feature of these papers is to uncover the fact that some simple mechanism like the second price auction becomes an equilibrium in competitive environments, although more complex mechanisms are derived in a bilaterally contractual model (with one principal and one agent). 3 As in 2 Peters (2001) extends the model of McAfee (1993) to allow agents private information to be correlated. 3 See also Armstrong and Vickers (2001) and Rochet and Stole (2002) for related issues in oligopoly models with price discrimination. 3

4 these papers, we also show that some simple contract like the full insurance contract emerges as a limit equilibrium. However, our results are different from theirs. First, we address the issue of moral hazard but not adverse selection which has been extensively analyzed in the literature. Second, we show the importance of risk attitude and limited wealth, both of which play the central role to determine whether or not equilibrium contract becomes high powered and hence market efficiency is enhanced when market is highly competitive. Third, and this is a main motivation of the paper, we provide the robust predictions for the limit equilibrium by showing the uniqueness of SSPE. Our efficiency result in the presence of risk neutral agents with limited liability is also related to Inderst (2001) in the sense that the endogenization of agent s reservation utility 4 is verified to be the key to eliminate the distortions by information asymmetry between contracting parties. However, our model has the different structure from Inderst: We adopt the directed search model with the timing that principals make ex ante contract offers before they match with agents, while Inderst examines a matching model with adverse selection in which ex post contract offer is assumed to make after a principal and an agent matched. Second, we suppose that full the bargaining power to make contract offer is allocated to the side of principals, while in Inderst s model both sides of principals and agents are allowed to make contract offers with positive probability. 5 Following the above preceded literature, we assume the existence of contract constraint, which ensures that each agent can contract with at most one principal. There is also another strand of the models to deal with multiple principals, by allowing each agent to accept more than one contract. This is called the problem of common agency, in which case some externality arises among competing principals. These studies include, for example, Kahn and Mookherjee (1998), Parlour and Rajan (2001) and Segal (1999). The most suitable case for our model with contract constraint to be applied is the labor market where it is naturally assumed that each worker can contract with and work under at most one firm. Of course, our analysis is applied to other cases where some transaction costs prevent agents from contracting with multiple principals simultaneously. Furthermore, we assume that each principal can contract with only fixed number of agents (at most one in our model). This is also justified when there exist some transaction costs or when the principals have inelastic demands. For example, in loan markets each lender finds it too costly to contract with multiple borrowers because of high monitoring and bankruptcy costs. 6 In labor markets each firm may 4 The reservation utility we mentioned here is referred to as the value each agent expects to obtain if he or she switched the trading partner. 5 As noted in the paper, Inderst s result does not hold if these two assumptions are dropped. 6 See Parlour and Rajan (2001) for this issue. 4

5 have inelastic labor demand due to capacity constraint for its production. Both the contract constraint and the assumption that each principal can contract with a fixed number of agents endogenously determine the bargaining power of the principals relative to the agents through competition among them. The remaining sections are organized as follows. In Section 2 we set up the model. In Section 3 we will consider the case that agents are risk averse and the moral hazard problem arises due to the trade off between incentives and risk sharing. In this case we will show that the full insurance contract tends to be a unique limit equilibrium. In Section 4 we will move to the case that agents are risk neutral but protected by limited liability. As opposed to the case of risk averse agents, the first best contract becomes a unique limit equilibrium. Section 5 concludes the paper. 2 The Model 2.1 Contractual Market with Moral Hazard We consider a contractual market where n (n 2) principals compete each other to offer incentive contracts to m (m 1) agents. All principals have the identical preference and each of them has a capacity constraint that she 7 needs at most one agent to generate her profits. Each agent can also contract with at most one principal. The agent hired by some principal takes an action a A after a contract is signed. This action gives the principal who hires that agent a stochastic return y Y R, where Y is some compact subset of real space. We denote y min Y and assume y > 0. The returns y are independently distributed across different hired agents. Moreover, no production externalities exist so that the return each hired agent yields depends only on his action but not other agents actions. We will denote by E[ a] the expectation with respect to y conditional on the agent s action a. Each principal is risk neutral and obtains the profits by hiring an agent, y w, where w is the payment to the agent. Every agent has the same von Neumann and Morgensern utility function U(w, a) u(w) c(a) on his income w and action a. We assume that u is continuously differentiable, increasing and concave, i.e., u > 0 and u 0. Let a denote the least costly action, i.e., a arg min a A c(a) and assume c(a) >c(a) for all a a. Byφ we will denote the inverse function of u. φ > 0 and φ 0 follow from the assumptions on u. We also make the assumption that φ( ) <E[y a] < 7 If there exists unlimited capacity, then we can easily see that the Bertrand competition among the principals drives their equilibrium payoff down to the reservation payoff as long as n 2. Then the change of the number of competing principals does not affect the equilibrium contract at all. 5

6 φ(+ ). 8 The reservation payoffs of the principals and the agents are normalized to zero. Any agent can always guarantee this payoff by exiting from the market. Any principal can also ensure her reservation payoff by offering the null contract (nothing). The game will proceed with the following timing: Stage 1 In the first stage the principals simultaneously offer incentive contracts to the agents. Each principal is allowed to offer the null contract which guarantees the reservation payoff to herself. Stage 2 In the second stage the contracts offered in Stage 1 are publicly observable. Then each agent independently visits one principal, from whom he wants to accept the offered contract. In this stage any agent can exit from the market to obtain the reservation payoff. Stage 3 Each principal who has succeeded in attracting at least one agent will select one and only one agent and sign the contract with that agent. If more than one agent go to some principal, then the principal is assumed to select one agent randomly with equal probability. Stage 4 Finally, in each principal agent relationship the selected agent chooses an action a A, the final return y Y is realized and the payment to the agent is made according to the signed contract. In this stage the action each agent has taken is observable only to himself, but not to all principals and other agents. Throughout the paper we will assume that only the realizations of y Y each hired agent yields are verifiable. This means that agents action choice is subject to the moral hazard problem. This assumption and independency of the realized returns across different hired agents imply that the incentive contract a principal offers depends solely on the realization of the final return y generated by the agent who is hired by that principal. The contract thus must specify the payments to the agent w(y) contingent on the return he will yield y Y. Let also u(y) u(w(y)) denote the corresponding utility payment according to w(y). The equilibrium concept to be used is the subgame perfect Nash equilibrium. In particular we will confine our attention to the symmetric subgame perfect Nash equilibrium (SSPE) where all principals offer the same incentive contract and all agents use the same strategy. The details of the strategies taken by the principals and the agents will be described below. 8 This is satisfied when φ varies over (, + ) and E[y a] < +. 6

7 2.2 Selection Strategy and Continuation Equilibrium We define the strategies of the principals and the agents at each stage of the game as follows: Stage 1 (Contract Offer of Principals): Principal i will offer a contract C i {a i,u i (y)} which specifies the action to be taken a i by the hired agent and the utility payment u i (y) depending on the realization of y. Letting denote the null contract, we will add to the above contract offer, i.e., C i = {a i,u i (y)}. Recall that offering C i = gives principal i zero payoff. Moreover, we will here assume that possible contracts are restricted to be anonymous in that they do not depend on the identities of the agents. Let C be the set of all possible contracts each principal can offer. Stage 2 (Selection Strategy of Agents): Each agent chooses the probability to visit each principal, given a profile of contracts offered in Stage 1, C (C 1,...C n ). The selection strategy used by agent j is defined by the mapping z j : C n [0, 1] n, where z j (z 1j,..., z nj ) and i z ij 1. The interpretation of z ij is that agent j selects principal i to visit with probability z ij. Note also that z ij = 0 for all i when agent j decides to exit from the market. The agent who is selected by principal i will obtain the rent U i E[u i (y) a i ] C(a i ) in Stage 4, because the contract C i is incentive compatible and hence the agent will choose the specified action a i. Assuming that a contract profile C was offered in Stage 1 and other agents than j use the selection strategy z j (z 1,..., z j 1, z j+1,..., z m ), the expected payoff of agent j who uses the selection strategy z j is given by n EU(z j) z ij Prob{j is hired by principal i; z j}u i (1) i=1 where Prob{j is hired by principal i; z j } denotes the probability that agent j is selected by principal i when other agents use the selection strategies z j. With this probability agent j is hired by principal i and will obtain the rent U i after he chooses the specified action a i and the payment u i (y) is made according to the realization of y in Stage 4. Note also that agent j obtains the reservation payoff (zero) if he is not hired at all. We will see below how the probability Prob{ }is determined. Principal i obtains the following expected payoff when she offers a contract C i in Stage 1: EV (C i ) (1 Π m j=1(1 z ij ))E[y φ(u i (y)) a i ]. (2) In the above expression principal i can obtain the expected payoff E[y φ(u i (y)) a i ], which will be ensured provided the hired agent takes the specified action a i and φ(u i (y)) is paid according to the realization of y in Stage 7

8 4, if and only if at least one agent visits her, which occurs with probability (1 Π m j=1 (1 z ij)). First we define the continuation equilibrium in the subgame after a contract profile C is given. Definition. The continuation equilibrium consists of the selection strategy profile z =(z 1,.., z m ) and the action choice by hired agents as follows: (i) Given C, agent j chooses z j to maximize his own expected payoff (1), taking as given the selection strategy used by other agents z j, and (ii) After all agents have made their selection decisions, the agent who was hired by principal i chooses an action a A to maximize ex post expected payoff E[u i (y) a] c(a), provided he has accepted the contract C i. Let ẑ(c) (ẑ 1,..., ẑ m ) denote a selection strategy profile in the continuation equilibrium for a given contract profile C. Then, by taking into account this continuation equilibrium outcome, the expected payoff of principal i (2) is reduced to EV (C i )=(1 Π m j=1(1 ẑ ij (C)))E[y φ(u i (y)) a i ]. (3) Then we define the SSPE (symmetric subgame perfect Nash equilibrium) as follows: Definition. A contract Ĉ = {â, û(y)} constitutes a SSPE if the following conditions hold: (i) Each principal maximizes her expected payoff (3) by offering the contract Ĉ in Stage 1, taking as given the strategy of other principals offering the same contract Ĉ, and (ii) Given Ĉ (Ĉ,..., Ĉ), every agent selects any principal with equal probability in the continuation equilibrium: ẑ ij =1/n for all i and all j. Remark. There may be also asymmetric continuation equilibria followed the offer of the same contract Ĉ in Stage 1, where the agents select the principals with different probabilities. We will rule out such asymmetric equilibria in order to make the analysis simple and derive clear cut results. 9 To see what contract becomes a SSPE, it is useful to consider how a unilateral deviation by one principal changes the continuation equilibrium outcomes. Suppose that all but one principal, say i, offer the same incentive 9 The approach to focus only on symmetric equilibria is standard in the existing literature. See for example McAfee (1993). See also Burdett, Shi and Wright (2001) for more discussion on the robustness feature of this class of symmetric equilibria. 8

9 contract Ĉ {â, û(y)}. On the other hand, principal i offers a different contract C = {a, u(y)} Ĉ. If such deviation is not profitable, then the contract Ĉ becomes a SSPE. We will denote by Û the equilibrium rent every hired agent obtains in a SSPE in which Ĉ is offered: Û E[û(y) â] c(â). (4) For the time being suppose that Û > 0. We will see below that this is actually the case occurred in any SSPE. Let us consider the subgame in Stage 2 after principal i makes a deviation contract offer. To derive the continuation equilibrium in the subgame after unilateral deviation occurs, we will confine our attention to the symmetric continuation equilibrium in which all agents use the same strategy to select the principals: When it is not optimal to exit from the market, every agent selects the deviating principal i with probability z [0, 1] and any other principal with the same remaining probability (1 z)/(n 1). This restriction gives us some desirable properties of the continuation equilibrium and hence makes the analysis of SSPE much simpler. As we will see below, the selection probability z determined in the symmetric continuation equilibrium as defined above is continuous in the rent the deviating principal offers: It can be taken close to the equilibrium selection probability 1/n when such rent becomes close to the equilibrium one. Moreover, z will be verified to be increasing in the ratio between the rent the deviating principal offers U and the equilibrium one Û, i.e., U/Û. Thus the deviating principal can continuously raise the probability of being selected by at least one agent in the continuation equilibrium by offering higher rent than the equilibrium one. Given the above selection strategy, the probability that the agent who selects the deviating principal with certainty can be hired by that principal is given by ( ) m 1 m 1 G(z) z k (1 z) m k 1 1 k k +1. (5) k=0 This probability is calculated by using the symmetric property that all other agents select the deviating principal with the same probability z and one agent is hired by that principal with equal probability 1/(k + 1) when k other agents go to that principal. On the other hand, the probability that the agent who selects other principal than the deviating principal with certainty can be hired is given by G((1 z)/(n 1)). Thus the selection probability z is determined in the symmetric continuation equilibrium when 0 <z<1, as follows: ( ) 1 z G(z)U = G Û (6) n 1 9

10 where U E[u(y) a] c(a) denotes the rent the deviating principal offers under a deviation contract C. The above equality means that every agent is indifferent for selecting between the deviating principal and any other principal, provided that all other agents select the deviating principal with probability z and any other principal with the remaining probability (1 z)/(n 1). The left hand (resp. right hand) side means the expected payoff obtained by selecting the deviating principal (resp. non deviating principal) with certainty. When (6) holds, the agent s expected payoff (1) is rewritten as EU = G(z)U = G((1 z)/(n 1))Û. The following lemma is useful to derive the continuation equilibrium. Lemma 1. (i) For any z 0, G(z) can be rewritten as or (ii) G < 0, and (iii) G > 0. Proof. See Appendix. G(z)= 1 (1 z)m mz (7) m 1 G(z) =(1/m) (1 z) k, (8) k=0 By defining the following function ( ) 1 z f(z) G /G(z), (9) n 1 (6) can be then rewritten as U = f(z)û. (10) The following lemma shows that f is increasing and convex. This ensures that the symmetric continuation equilibrium z followed unilateral deviation is uniquely determined by f(z) =U/Û, and it is increasing in U/Û. Thus the deviating principal can increase her probability of being selected by the agents by offering higher rent U than the equilibrium one Û. Lemma 2. (i) f > 0, (ii) f > 0 and (iii) f(1/n) =1. Proof. See Appendix. The properties of Lemma 2 will be exploited below for characterizing SSPE. 10

11 3 Equilibrium Contracts with Risk Averse Agents 3.1 Characterization of SSPE This section will characterize SSPE when agents are risk averse, u < 0 and so φ > 0. We will first consider the benchmark case where only one (monopoly) principal exists in the market and has full the bargaining power to make a contract offer to the agents. Since a principal needs at most one agent to be hired, this is the standard agency problem with moral hazard. The monopoly principal thus solves the following problem by offering a contract {a, u(y)}: (MP) subject to max a,u(y) E[y a] E[φ(u(y)) a] a arg max a A E[u(y) a ] c(a ) E[u(y) a] c(a) 0 (IC) (IR) where (IC) means the incentive compatibility constraint that the hired agent optimally chooses the action a specified in the contract. (IR) guarantees that the agent obtains at least his reservation utility, zero. Let C M {a M,u M (y)} be the optimal monopoly contract to solve the above problem (MP). We make the following assumption which avoids the trivial result that the principal offers the null contract C = even when she is a monopolist in the market. Assumption 1. E[y φ(u M (y)) a M ] > 0. We will now turn to the case of multiple principals and characterize SSPE. First notice that every SSPE never contains the offer of the null contract C =. To see this suppose that it becomes a SSPE for all principals to offer C = in Stage 1. Then all principals and agents obtain the reservation payoff, zero. But then some principal deviates from the equilibrium strategy of offering the null contract to the offer of a contract C = {a M,u M (y)+ɛ} where ɛ>0 is small. Thus the deviating principal yields a positive rent ɛ>0 to the hired agent. It then becomes a dominant strategy for any agent to select the deviating principal with certainty. 10 This deviation hence 10 If the agent is hired by the deviating principal, he can obtain a positive rent ɛ>0 and thus be strictly better off, and even if this is not the case he is not worse off. Since the first case occurs with some positive probability, selecting the deviating principal becomes a dominant strategy for each agent. 11

12 makes the deviating principal strictly better off by Assumption 1. Thus we can suppose that every SSPE contract Ĉ must not be the null contract (Ĉ ). Moreover, the equilibrium payoff of the principals must be greater than the reservation payoff, zero, in any SSPE. To see this suppose that the equilibrium payoff of the principals becomes zero in some SSPE. Suppose also that some principal deviates from the equilibrium contract Ĉ = {â, û(y)} to the offer of a contract C = {â, û(y) ɛ} where ɛ>0 is small. 11 Thus the deviation contract gives the agent who accepted this a smaller rent than the equilibrium one by ɛ>0, which in turn means that the deviating principal can increase her payoff from zero when she succeeds in attracting at least one agent. Taking a small enough ɛ, the probability of the deviating principal being selected by at least one agent z in the continuation equilibrium can be sufficiently close to the equilibrium one 1/n. Thus the deviating principal can obtain a positive expected payoff by such deviation. This argument is based on the continuity property of the symmetric continuation equilibrium we have defined above. The following result states that any SSPE is characterized by a solution to the problem as if a single principal contracted with a single agent as in the standard bilaterally monopoly model. Proposition 1. Suppose that Ĉ = {â, û(y)} is a SSPE and every hired agent obtains the equilibrium rent Û. Then Ĉ must be a solution to the following program (EP): (EP) max E[y a] E[φ(u(y)) a] a,u(y) subject to (IC) and E[u(y) a] c(a) Û. (IR ) Proof. See Appendix. Proposition 1 shows the condition any SSPE must possess, implying that the equilibrium contract must solve the simple problem (EP) as if we were in the single principal case where the reservation utility of the agent is given by Û. The intuition of this proposition follows from its proof: For Ĉ to be a SSPE, it must not be profitable for any principal to offer other contracts satisfying (IC) and (IR ) than Ĉ giving the rent Û, provided that all other principals offer the same contract Ĉ. If a different feasible contract C Ĉ attains a higher value of the objective function in the program (EP), some principal makes a deviation to offer C instead of Ĉ, because C gives the hired agent at least the equilibrium rent Û and thus the probability of the deviating principal being selected cannot be less than the equilibrium one 11 Note that the above argument shows Ĉ. 12

13 1/n, which in turn implies the strict improvement of the deviating principal s payoff. The equilibrium rent Û can be here viewed as the reservation utility of the agents when the deviating principal makes a contract offer (Of course Û itself will be endogenously determined in the market competition). Proposition 1 will greatly simplify the following analysis. Notice also that Û>0must be satisfied in any SSPE. This is easily seen because if Û = 0 in some SSPE there exists some principal who deviates from the equilibrium strategy to offer a modified contract which gives the hired agent a small positive rent. Then it becomes a dominant strategy for each agent to select such deviating principal with certainty. This creates a discrete jump of the deviating principal s expected payoff, which breaks the supposed SSPE. 12 Thus we will hereafter suppose that Û>0. Anticipating the selection strategy used in the symmetric continuation equilibrium after the unilateral deviation, the deviating principal offers a contract C = {a, u(y)} to solve the following program: (DP) max 0 z 1,a A,u(y),U 0 (1 (1 z)m ){E[y a] E[φ(u(y)) a]} subject to a arg max a A E[u(y) a ] C(a ), U = f(z)û, U = E[u(y) a] c(a). (IC) (ID) (R) Several comments on the above problem are in order. First note that at least one agent goes to the deviating principal with probability (1 (1 z) m ), in which case the deviating principal obtains the expected payoff E[y a] E[φ(u(y)) a] and nothing otherwise respectively. This yields the expected payoff function of the deviating principal given in (DP). Second, in the program (DP) the deviating principal is assumed to control directly the probability z [0, 1] for herself to be selected by the agents. This is because choosing the contract {a, u(y)} determines the agent s rent U, which in turn 12 For example consider a deviation contract such that C = {û(y) +ɛ, â} by adding a small constant ɛ > 0 to the equilibrium contract Ĉ = {û(y), â}. Suppose also that the equilibrium contract Ĉ gives all hired agents zero rent Û = 0. Then Proposition 1 tells us that such SSPE must solve the problem (EP) with Û = 0. However, then (EP) is reduced to the monopoly problem (MP) and thus Ĉ = C M. Thus every principal obtains the positive expected payoff (1 (1 1/n) m )E[y φ(u M (y)) a M ] > 0 by Assumption 1. However, the above deviation contract still implements the same action and gives a hired agent some positive rent ɛ>0. Letting ɛ +0 the deviating principal can thus increase her expected payoff in a discontinuous way, because the probability that she is selected by at least one agent becomes one instead of the equilibrium probability (1 (1 1/n) m ). 13

14 determines the selection probability z in the continuation equilibrium by the indifference condition U = f(z)û. Thus choosing z subject to U = f(z)û is equivalent to choosing the rent U. 13 Thus any SSPE can be derived by finding the value of equilibrium rent Û such that the deviating principal optimally chooses z =1/n in the above program (DP). 3.2 Market Competition and Low Powered Incentive We now turn to the problem of what contract can be a SSPE when the market competition becomes sufficiently intense as the number of the principals goes to infinity, given the number of the agents m. Let U P be the agent s utility to satisfy E[y a] φ(u P + c(a))=0. (11) Since φ is increasing and φ( ) <E[y a] <φ(+ ), such U P exists. We will also impose the following assumption. uniquely Assumption 2. φ (c(a)) < sup a a E[y a] E[y a] c(a) c(a) <φ (U P + c(a)). (12) Intuitively, the first half of Assumption 2 shows the necessary condition to avoid the trivial case that implementing the least costly action can be optimal even in the monopoly principal case. If the reverse inequality holds in the first half, it is then verified that implementing the least costly action a becomes the optimal solution to the problem (MP). Note also that E[y a] φ(c(a)+û) is the maximum payoff attained in (EP) for a given action a A. 14 The last half of Assumption 2 then says that the marginal return of this payoff by the increase of action from the least costly one, which corresponds to the second term of Assumption 2, can be less than its marginal cost, which corresponds to the final term, when the agent s rent is given by U P. Thus Assumption 2 guarantees the existence of the agent s rent, for above which the principal optimally implements the least costly action. 13 We can here restrict our attention to z (0, 1] such that z is determined by the indifference condition U = f(z)û. No generality is lost by such restriction: First, inducing z = 0 is weakly dominated by the offer of the null contract. Second, suppose that the deviating principal induces the selection strategy z = 1 such that every agent selects her with probability one. This case occurs when U f(1)û. However, if this inequality is strict, i.e., U > f(1)û, the deviating principal can slightly reduce the rent U while keeping U>f(1)Û and still inducing z = 1. Thus we can assume that U = f(1)û. 14 This is actually the payoff the principal can attain in (EP) without (IC). 14

15 Assumption 2 ensures that U p > 0 because φ > 0. Under Assumption 2 we can also find the value U>0 such that sup a a E[y a] E[y a] c(a) c(a) = φ (U + c(a)). (13) It then follows that U<U P. Let A (U) be the set of solutions to maximize the principal s first best payoff: A (U) arg max E[y a] φ(u + c(a)), (14) a A for given U. Then we show the following result. Lemma 3. U U, A (U) ={a} under Assumption 2. Proof. Fix U U where U is given by equation (13). Then, the following inequality holds for any a a: E[y a] E[y a] φ (U + c(a))[c(a) c(a)] < φ(u + c(a)) φ(u + c(a)) where the first inequality follows from Assumption 2 and c(a) >c(a) for any a a, and the final inequality from the strict convexity of φ respectively. The above inequality shows that A (U) ={a} for any U U. Q.E.D. By Lemma 3 we will see that the equilibrium contract must ensure constant payment across all realizations of returns. Let C denote such contract, called the full insurance contract, and define as follows: C {a,u} where u c(a)+û for the rent Û giving to the agent. Thus C specifies the least costly action to be taken and the corresponding fixed payment u, which covers both the action cost and the rent, to be made for all realizations of y. Then we can show the following result. Lemma 4. (i) The full insurance contract C uniquely solves the program (EP) when Û U. (ii) A SPPE must be the full insurance contract C when its equilibrium rent Û belongs to the interval [U,U p]. Proof. (i) Fix some Û U. Then we obtain E[y a] E[φ(u(y)) a] E[y a] φ(e[u(y) a]) E[y a] φ(û + c(a)) 15

16 for any feasible contract {a, u(y)} which satisfies (IC) and (IR ) in (EP). The first inequality follows from Jensen s inequality and φ > 0, and the second inequality from (IR ) respectively. Then, by Lemma 3, the least costly action a maximizes the last expression of the above inequality for Û U. Since the full insurance contract C where u c(a)+û for all y Y can attain this upper bound, the unique optimal solution to (EP) must be C. (ii) Suppose that the equilibrium rent Û is given by Û [U,U p] in a SSPE. Then by Proposition 1 and the above proof of (i) the SSPE must be the full insurance contract C. Note here that the offer of the null contract is not optimal strategy for the principal. Indeed this is the case because by definition of Û [U,U P] we have E[y a] φ(û + c(a)) > 0. Also, since Û>U>0, any agent does not exit from the market as well. Q.E.D. When the reservation utility Û is large, under Assumption 2 the principal finds it optimal to implement the least costly action in the program (EP) via the full insurance contract. Proposition 1 then implies that any SSPE must be the full insurance contract for sufficiently large Û. The following lemma is useful. Lemma 5. ˆn such that G (1/n)/(n 1) is increasing in n for n ˆn. Proof. See Appendix. Then the next proposition shows that the equilibrium rent Û belongs to the interval [U,U P ] when n becomes large enough and hence there exists a unique SSPE characterized by the full insurance contract C. Proposition 2. There exists some n such that for all n n a unique SSPE is given by the full insurance contract C. Proof. See Appendix. The above proposition implies that the equilibrium contract tends to be the lowest-powered in the sense that all hired agents are fully insured when market competition becomes sufficiently intense. The proof of this result consists of two parts: existence and uniqueness. First we will show that there exists a SPPE in which the full insurance contract C is offered when the number of competing principals becomes sufficiently large. This can be shown by using the fact that the equilibrium rent can be large enough when n is sufficiently large: Each principal has stronger incentive to offer a high rent as the number of competing principals becomes larger, provided all other (many) principals offer the same high rent. Thus competition forces the principals to offer a high rent, which is in turn means that the equilibrium contract becomes the full insurance 16

17 contract due to Lemma 4. This result holds even when implementing the least costly action is not optimal in the monopoly principal case (see the problem (MP)). The difference between the case of multiple principals and the monopoly case is that in the former the reservation utility of the agent Û (which we call the equilibrium rent) is endogenously determined but fixed to be zero in the latter. It is helpful to compare the problem (MP) with (EP): Setting Û = 0 in the problem (EP), the problem (EP) is reduced to the problem (MP). But Û itself is determined by the market competition. This endogenization of reservation utility in turn affects the formation of equilibrium contract via competition among the principals. Second we will show that every SSPE must be the full insurance contract C as the number of competing principals tends to be large enough. The strategy to prove this result is as follows: First we take any SSPE contract Ĉ = {â, û(y)} and the corresponding equilibrium rent Û, and consider a possible deviation by some principal such that a contract C = {â, û(y) + δ(z)} is offered. Here the constant term δ(z) is determined by Ûf(z) =E[û(y) â] c(â)+δ(z). By definition of Û, δ(1/n) = 0. Thus the deviating principal can induce the selection probability z chosen in the continuation equilibrium by adjusting the rent U such that U = f(z)û, while implementing the same action â as taken in the supposed SSPE. This gives her the following deviation payoff: (1 (1 z) m )E[y φ(û(y)+δ(z)) â]. For such deviation not to be profitable, maximizing this with respect to z must yield z = 1/n. The equilibrium rent satisfies this first order condition. We will then find the lower bound of the equilibrium rents, which in turn tends to be greater than U when n. Thus it follows from Lemma 4 that any SSPE must be the full insurance contract when n is sufficiently large. 15 One might think that sufficiently large rent drives the equilibrium payoff of the principals down to their reservation payoff, zero. This does not however occur by the construction of equilibrium rent Û(n) in the proof (See equation (A1) in Appendix.) Indeed the equilibrium payoff of the principals is verified to be always positive for any n and approach to zero (the reservation payoff) when n +. Put differently the equilibrium rent Û(n) approaches to the upper bound U p when n +. Since the principals have the capacity constraint that each of them can contract with at most one agent, they can still keep the bargaining powers relative to the agents even in the limit as the number of them goes to infinity. 16 Without capacity 15 This uniqueness result follows by keeping our assumption that continuation equilibrium after a unilateral deviation by some principal is symmetric in that all agents select the deviating principal with the same probability. 16 This may be understood by an analogy to the Cournot oligopoly in which n symmetric 17

18 constraint, the equilibrium payoff of the principals is always driven down to zero. 3.3 Competition and Market Efficiency Our next concern is to explore the welfare implications about the limit equilibrium shown above. In particular we will consider whether or not the efficiency loss caused by the moral hazard problem is decreased by more intense competition (when n ). To evaluate such the efficiency loss, we adopt the Benthamian type welfare function, which is defined as the unweighted sum of all parties ex ante payoffs, and use it for measuring the contractual market welfare. In a SSPE in which Ĉ = {â, û(y)} is offered every principal obtains the following expected payoff: ˆV (1 (1 (1/n)) m ){E[y â] E[φ(û(y)) â]}. (15) On the other hand, in the SSPE each agent obtains the equilibrium rent Û with probability G(1/n) and nothing with the remaining probability respectively. Thus ex ante expected payoff each agent obtains is given by G(1/n)Û. Since G(1/n) =(1/m)n[1 (1 (1/n)) m ] by Lemma 1 (i), the market welfare (the unweighted sum of ex ante payoffs of all principals and agents) is then given by Ŵ n ˆV + mg(1/n)û = n(1 (1 (1/n)) m ){E[y â] E[φ(û(y)) â]+û}. (16) Notice here that n(1 (1 1/n) m ) is the expected number of matched pairs of the principal and the agent. As a reference case, we define the first best welfare as the upper bound for the equilibrium welfares. This is defined by the maximized total expected payoffs of all principals and agents: W FB max n(1 (1 a,u(y) (1/n))m ){E[y a] E[φ(u(y)) a]+e[u(y) a] c(a)}. (17) Since the agents are risk averse, the first best contract requires full insurance that u(y) =const. for all y Y, and the first best action a FB is defined as a FB arg max a A E[y a] c(a). Thus the first best welfare is given by W FB = n(1 (1 (1/n)) m ){E[y a FB ] φ(u FB )+u FB c(a FB )} (18) firms sell a homogenous good and have the same constant marginal cost with no fixed cost: The equilibrium profit of the firm in that market is always positive for any n and tends to be zero when n +. The price setting power of each firm can be negligible when the number of competing firms becomes large enough but cannot be exactly zero even in the limit. 18

19 where u FB satisfies φ (u FB )=1. We will use the following measure for the efficiency loss of the market equilibrium relative to the maximum social welfare: L W FB Ŵ = E[y afb ] φ(u FB )+u FB c(a FB ). (19) E[y â] E[φ(û(y)) â]+û Note that L 1. This measure captures the pure welfare loss which comes only from the moral hazard problem on the side of agents, by eliminating the direct effect of the numbers of the principals and the agents (note that the term n(1 (1 (1/n)) m ) appeared in both W FB and Ŵ is canceled out in the expression of L). Thus the number of competing principals matters for the efficiency loss only through the effect that it changes the equilibrium contract to be offered and hence the action choice of agents. Since we are concerned with the problem of whether or not more intense competition can reduce the welfare loss by the moral hazard problem, L becomes an appropriate measure of evaluating such efficiency loss. We will hereafter use the notation L = L(n) by expressing the dependency of L on the number of principals n explicitly. By using Proposition 2, we can then show the following welfare result. Proposition 3. Suppose that φ (c(a)) 1 holds. Then L(n ) >L(n ) for any n >n max{n, ˆn}, where n (resp. ˆn) is the number given in Proposition 2 (resp. Lemma 5). Proof. Suppose that n max{n, ˆn} where n (resp. ˆn) is given in Proposition 2 (resp. Lemma 5). From Proposition 2 we know that the full insurance contract C becomes a SSPE when n n. In such SSPE the equilibrium rent Û(n) is also increasing in n because of Lemma 5 and equation (A1) (see Appendix). Then the proposition will hold if we show that Ŵ is decreasing in Û when n max{n, ˆn}. Note here that when n n, Ŵ is given by Ŵ = E[y a] φ(û + c(a)) + Û (20) due to Proposition 2. Differentiating this with respect to Û we get dŵ dû = φ (Û + c(a)) + 1 < φ (c(a)) (21) where the first inequality follows from Û(n) > 0 because Û(n) > U > 0 when n n, and the second inequality from the condition stated in the proposition respectively. Q.E.D. 19

20 The above result shows that when competition is sufficiently intense a higher degree of competition among the principals gives rise to a higher efficiency loss measured by L(n). This is because the tighter competition forces the competing principals to offer the full insurance contract with larger equilibrium rent. Under the full insurance contract, whether the larger rent improves the social welfare defined by (20) depends on the slope of the utility function u. One unit increase of the rent can raise the utility of the agent by one unit but it decreases the utility of the principals by φ (U + c(a)) when the full insurance contract is offered. Thus, if the latter effect dominates the former as we assumed in Proposition 3, total welfare is decreased by the increase of the agent s rent. 4 Equilibrium Contracts with Limited Liability We have so far assumed that the agents are risk averse and they are not wealth constrained. This assumption is the key factor to derive the above limit theorem that every SSPE contract tends to be low-powered and hence result in the lower welfare. As an alternative way, in order to focus on the moral hazard issue we may resort to the model in which agents are risk neutral but wealth constrained. In this setting the moral hazard occurs due to the limitation of heavy punishment but not risk sharing consideration. The different sources to cause the moral hazard have the different effects on the equilibrium contract in the limit, as we will see below. In this section we will consider a situation where every agent is risk neutral but protected by limited liability so that the payment to him must be non negative for all realizations of the return y Y. Specifically we will assume that the utility function of each agent takes a form U(w, e)= w c(a) and that w 0 must be satisfied in any equilibrium. 4.1 Benchmark Case: Monopoly Principal We first define the monopoly principal problem where a single principal exists in the market and has full the bargaining power to offer a contract. In this case the monopoly principal will offer a contract {a, w(y)} to solve the following program: (MPL) subject to max a A,w(y) E[y w(y) a] a arg max a A E[w(y) a ] c(a ) E[w(y) a] c(a) 0 (ICL) (IRL) w(y) 0 for any y Y (LL) 20

21 where the last constraint (LL) means the limited liability constraint that the payment w(y) must be non negative for all realization of y Y. In the presence of risk neutral agent the first best action is defined to maximize the total payoffs of a pair of the principal and the agent: a FB arg max E[y a] c(a). (22) a A The first best payoff the principal can attain is then given by E[y a FB ] c(a FB ). This maximum payoff can be achieved in the program (MPL) if the so called selling the store scheme w(y) y + t 0, where t 0 c(a FB ) E[y a FB ], satisfies (LL), i.e., y + t 0 0. Otherwise, the action choice would be distorted. The selling the store scheme gives the agent full the marginal return and thus induces the first best action, together with a fixed transfer to be paid by the agent whatever returns realized. Let C M l {a M l,w M l (y)} denote the optimal monopoly contract to solve the problem (MPL). To avoid the trivial result that the principal offers the null contract even in the monopoly situation, we will make the following assumption. Assumption 3. E[y w M l (y) a M l ] > Characterization of SSPE Now we will examine the case of multiple principals and characterize SSPE. By a similar argument to Proposition 1, we can show that any SSPE contract must solve a simple agency program as if a single principal contracted with a single agent. Proposition 4. Suppose that Ĉ {â, ŵ(y)} is a contract offered in a SSPE with the equilibrium rent Û E[û(y) â] c(â). Then Ĉ must be a solution to the following program (EPL): (EPL) max E[y w(y) a] a A,w(y) subject to (ICL), (LL) and E[w(y) a] c(a) Û (IRL ) To see what contracts are the solutions to the problem (ELP), we define the first best contract as C FB {a FB,y+ t(û)}, (23) 21

Comparing Allocations under Asymmetric Information: Coase Theorem Revisited

Comparing Allocations under Asymmetric Information: Coase Theorem Revisited Comparing Allocations under Asymmetric Information: Coase Theorem Revisited Shingo Ishiguro Graduate School of Economics, Osaka University 1-7 Machikaneyama, Toyonaka, Osaka 560-0043, Japan August 2002

More information

Competition and Moral Hazard

Competition and Moral Hazard Competition and Moral Hazard Shingo Ishiguro Graduate School of Economics Osaka University July 2002 Abstract This paper investigates the equilibrium consequences of a contractual market with moral hazard

More information

Loss-leader pricing and upgrades

Loss-leader pricing and upgrades Loss-leader pricing and upgrades Younghwan In and Julian Wright This version: August 2013 Abstract A new theory of loss-leader pricing is provided in which firms advertise low below cost) prices for certain

More information

PAULI MURTO, ANDREY ZHUKOV

PAULI MURTO, ANDREY ZHUKOV GAME THEORY SOLUTION SET 1 WINTER 018 PAULI MURTO, ANDREY ZHUKOV Introduction For suggested solution to problem 4, last year s suggested solutions by Tsz-Ning Wong were used who I think used suggested

More information

KIER DISCUSSION PAPER SERIES

KIER DISCUSSION PAPER SERIES KIER DISCUSSION PAPER SERIES KYOTO INSTITUTE OF ECONOMIC RESEARCH http://www.kier.kyoto-u.ac.jp/index.html Discussion Paper No. 657 The Buy Price in Auctions with Discrete Type Distributions Yusuke Inami

More information

On Forchheimer s Model of Dominant Firm Price Leadership

On Forchheimer s Model of Dominant Firm Price Leadership On Forchheimer s Model of Dominant Firm Price Leadership Attila Tasnádi Department of Mathematics, Budapest University of Economic Sciences and Public Administration, H-1093 Budapest, Fővám tér 8, Hungary

More information

Appendix: Common Currencies vs. Monetary Independence

Appendix: Common Currencies vs. Monetary Independence Appendix: Common Currencies vs. Monetary Independence A The infinite horizon model This section defines the equilibrium of the infinity horizon model described in Section III of the paper and characterizes

More information

On Existence of Equilibria. Bayesian Allocation-Mechanisms

On Existence of Equilibria. Bayesian Allocation-Mechanisms On Existence of Equilibria in Bayesian Allocation Mechanisms Northwestern University April 23, 2014 Bayesian Allocation Mechanisms In allocation mechanisms, agents choose messages. The messages determine

More information

EC476 Contracts and Organizations, Part III: Lecture 3

EC476 Contracts and Organizations, Part III: Lecture 3 EC476 Contracts and Organizations, Part III: Lecture 3 Leonardo Felli 32L.G.06 26 January 2015 Failure of the Coase Theorem Recall that the Coase Theorem implies that two parties, when faced with a potential

More information

Microeconomic Theory II Preliminary Examination Solutions Exam date: June 5, 2017

Microeconomic Theory II Preliminary Examination Solutions Exam date: June 5, 2017 Microeconomic Theory II Preliminary Examination Solutions Exam date: June 5, 07. (40 points) Consider a Cournot duopoly. The market price is given by q q, where q and q are the quantities of output produced

More information

1 Appendix A: Definition of equilibrium

1 Appendix A: Definition of equilibrium Online Appendix to Partnerships versus Corporations: Moral Hazard, Sorting and Ownership Structure Ayca Kaya and Galina Vereshchagina Appendix A formally defines an equilibrium in our model, Appendix B

More information

March 30, Why do economists (and increasingly, engineers and computer scientists) study auctions?

March 30, Why do economists (and increasingly, engineers and computer scientists) study auctions? March 3, 215 Steven A. Matthews, A Technical Primer on Auction Theory I: Independent Private Values, Northwestern University CMSEMS Discussion Paper No. 196, May, 1995. This paper is posted on the course

More information

MA300.2 Game Theory 2005, LSE

MA300.2 Game Theory 2005, LSE MA300.2 Game Theory 2005, LSE Answers to Problem Set 2 [1] (a) This is standard (we have even done it in class). The one-shot Cournot outputs can be computed to be A/3, while the payoff to each firm can

More information

Answers to Microeconomics Prelim of August 24, In practice, firms often price their products by marking up a fixed percentage over (average)

Answers to Microeconomics Prelim of August 24, In practice, firms often price their products by marking up a fixed percentage over (average) Answers to Microeconomics Prelim of August 24, 2016 1. In practice, firms often price their products by marking up a fixed percentage over (average) cost. To investigate the consequences of markup pricing,

More information

Topics in Contract Theory Lecture 5. Property Rights Theory. The key question we are staring from is: What are ownership/property rights?

Topics in Contract Theory Lecture 5. Property Rights Theory. The key question we are staring from is: What are ownership/property rights? Leonardo Felli 15 January, 2002 Topics in Contract Theory Lecture 5 Property Rights Theory The key question we are staring from is: What are ownership/property rights? For an answer we need to distinguish

More information

Practice Problems. U(w, e) = p w e 2,

Practice Problems. U(w, e) = p w e 2, Practice Problems Information Economics (Ec 515) George Georgiadis Problem 1. Static Moral Hazard Consider an agency relationship in which the principal contracts with the agent. The monetary result of

More information

PAULI MURTO, ANDREY ZHUKOV. If any mistakes or typos are spotted, kindly communicate them to

PAULI MURTO, ANDREY ZHUKOV. If any mistakes or typos are spotted, kindly communicate them to GAME THEORY PROBLEM SET 1 WINTER 2018 PAULI MURTO, ANDREY ZHUKOV Introduction If any mistakes or typos are spotted, kindly communicate them to andrey.zhukov@aalto.fi. Materials from Osborne and Rubinstein

More information

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India October 2012

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India October 2012 Game Theory Lecture Notes By Y. Narahari Department of Computer Science and Automation Indian Institute of Science Bangalore, India October 22 COOPERATIVE GAME THEORY Correlated Strategies and Correlated

More information

Comparing allocations under asymmetric information: Coase Theorem revisited

Comparing allocations under asymmetric information: Coase Theorem revisited Economics Letters 80 (2003) 67 71 www.elsevier.com/ locate/ econbase Comparing allocations nder asymmetric information: Coase Theorem revisited Shingo Ishigro* Gradate School of Economics, Osaka University,

More information

Mechanism Design: Single Agent, Discrete Types

Mechanism Design: Single Agent, Discrete Types Mechanism Design: Single Agent, Discrete Types Dilip Mookherjee Boston University Ec 703b Lecture 1 (text: FT Ch 7, 243-257) DM (BU) Mech Design 703b.1 2019 1 / 1 Introduction Introduction to Mechanism

More information

Liability, Insurance and the Incentive to Obtain Information About Risk. Vickie Bajtelsmit * Colorado State University

Liability, Insurance and the Incentive to Obtain Information About Risk. Vickie Bajtelsmit * Colorado State University \ins\liab\liabinfo.v3d 12-05-08 Liability, Insurance and the Incentive to Obtain Information About Risk Vickie Bajtelsmit * Colorado State University Paul Thistle University of Nevada Las Vegas December

More information

Discussion Papers In Economics And Business

Discussion Papers In Economics And Business Discussion Papers In Economics And Business Moral Hazard and Target Budgets Shingo Ishiguro, Yosuke Yasuda Discussion Paper 18-03 Graduate School of Economics and Osaka School of International Public Policy

More information

Game Theory Fall 2003

Game Theory Fall 2003 Game Theory Fall 2003 Problem Set 5 [1] Consider an infinitely repeated game with a finite number of actions for each player and a common discount factor δ. Prove that if δ is close enough to zero then

More information

Elements of Economic Analysis II Lecture XI: Oligopoly: Cournot and Bertrand Competition

Elements of Economic Analysis II Lecture XI: Oligopoly: Cournot and Bertrand Competition Elements of Economic Analysis II Lecture XI: Oligopoly: Cournot and Bertrand Competition Kai Hao Yang /2/207 In this lecture, we will apply the concepts in game theory to study oligopoly. In short, unlike

More information

Directed Search and the Futility of Cheap Talk

Directed Search and the Futility of Cheap Talk Directed Search and the Futility of Cheap Talk Kenneth Mirkin and Marek Pycia June 2015. Preliminary Draft. Abstract We study directed search in a frictional two-sided matching market in which each seller

More information

On the 'Lock-In' Effects of Capital Gains Taxation

On the 'Lock-In' Effects of Capital Gains Taxation May 1, 1997 On the 'Lock-In' Effects of Capital Gains Taxation Yoshitsugu Kanemoto 1 Faculty of Economics, University of Tokyo 7-3-1 Hongo, Bunkyo-ku, Tokyo 113 Japan Abstract The most important drawback

More information

Counterparty Risk in the Over-the-Counter Derivatives Market: Heterogeneous Insurers with Non-commitment

Counterparty Risk in the Over-the-Counter Derivatives Market: Heterogeneous Insurers with Non-commitment Counterparty Risk in the Over-the-Counter Derivatives Market: Heterogeneous Insurers with Non-commitment Hao Sun November 16, 2017 Abstract I study risk-taking and optimal contracting in the over-the-counter

More information

Microeconomic Theory II Preliminary Examination Solutions Exam date: August 7, 2017

Microeconomic Theory II Preliminary Examination Solutions Exam date: August 7, 2017 Microeconomic Theory II Preliminary Examination Solutions Exam date: August 7, 017 1. Sheila moves first and chooses either H or L. Bruce receives a signal, h or l, about Sheila s behavior. The distribution

More information

Trading Company and Indirect Exports

Trading Company and Indirect Exports Trading Company and Indirect Exports Kiyoshi Matsubara June 015 Abstract This article develops an oligopoly model of trade intermediation. In the model, manufacturing firm(s) wanting to export their products

More information

University of Konstanz Department of Economics. Maria Breitwieser.

University of Konstanz Department of Economics. Maria Breitwieser. University of Konstanz Department of Economics Optimal Contracting with Reciprocal Agents in a Competitive Search Model Maria Breitwieser Working Paper Series 2015-16 http://www.wiwi.uni-konstanz.de/econdoc/working-paper-series/

More information

Final Examination December 14, Economics 5010 AF3.0 : Applied Microeconomics. time=2.5 hours

Final Examination December 14, Economics 5010 AF3.0 : Applied Microeconomics. time=2.5 hours YORK UNIVERSITY Faculty of Graduate Studies Final Examination December 14, 2010 Economics 5010 AF3.0 : Applied Microeconomics S. Bucovetsky time=2.5 hours Do any 6 of the following 10 questions. All count

More information

Regret Minimization and Security Strategies

Regret Minimization and Security Strategies Chapter 5 Regret Minimization and Security Strategies Until now we implicitly adopted a view that a Nash equilibrium is a desirable outcome of a strategic game. In this chapter we consider two alternative

More information

Topics in Contract Theory Lecture 1

Topics in Contract Theory Lecture 1 Leonardo Felli 7 January, 2002 Topics in Contract Theory Lecture 1 Contract Theory has become only recently a subfield of Economics. As the name suggest the main object of the analysis is a contract. Therefore

More information

Exercises Solutions: Oligopoly

Exercises Solutions: Oligopoly Exercises Solutions: Oligopoly Exercise - Quantity competition 1 Take firm 1 s perspective Total revenue is R(q 1 = (4 q 1 q q 1 and, hence, marginal revenue is MR 1 (q 1 = 4 q 1 q Marginal cost is MC

More information

DARTMOUTH COLLEGE, DEPARTMENT OF ECONOMICS ECONOMICS 21. Dartmouth College, Department of Economics: Economics 21, Summer 02. Topic 5: Information

DARTMOUTH COLLEGE, DEPARTMENT OF ECONOMICS ECONOMICS 21. Dartmouth College, Department of Economics: Economics 21, Summer 02. Topic 5: Information Dartmouth College, Department of Economics: Economics 21, Summer 02 Topic 5: Information Economics 21, Summer 2002 Andreas Bentz Dartmouth College, Department of Economics: Economics 21, Summer 02 Introduction

More information

Econ 101A Final exam May 14, 2013.

Econ 101A Final exam May 14, 2013. Econ 101A Final exam May 14, 2013. Do not turn the page until instructed to. Do not forget to write Problems 1 in the first Blue Book and Problems 2, 3 and 4 in the second Blue Book. 1 Econ 101A Final

More information

Econ 101A Final exam Mo 18 May, 2009.

Econ 101A Final exam Mo 18 May, 2009. Econ 101A Final exam Mo 18 May, 2009. Do not turn the page until instructed to. Do not forget to write Problems 1 and 2 in the first Blue Book and Problems 3 and 4 in the second Blue Book. 1 Econ 101A

More information

Best-Reply Sets. Jonathan Weinstein Washington University in St. Louis. This version: May 2015

Best-Reply Sets. Jonathan Weinstein Washington University in St. Louis. This version: May 2015 Best-Reply Sets Jonathan Weinstein Washington University in St. Louis This version: May 2015 Introduction The best-reply correspondence of a game the mapping from beliefs over one s opponents actions to

More information

Game Theory with Applications to Finance and Marketing, I

Game Theory with Applications to Finance and Marketing, I Game Theory with Applications to Finance and Marketing, I Homework 1, due in recitation on 10/18/2018. 1. Consider the following strategic game: player 1/player 2 L R U 1,1 0,0 D 0,0 3,2 Any NE can be

More information

Multiple Lending and Constrained Efficiency in the Credit Market

Multiple Lending and Constrained Efficiency in the Credit Market Multiple Lending and Constrained Efficiency in the Credit Market Andrea ATTAR 1, Eloisa CAMPIONI 2, Gwenaël PIASER 3 1st February 2006 Abstract This paper studies the relationship between competition and

More information

Game Theory Fall 2006

Game Theory Fall 2006 Game Theory Fall 2006 Answers to Problem Set 3 [1a] Omitted. [1b] Let a k be a sequence of paths that converge in the product topology to a; that is, a k (t) a(t) for each date t, as k. Let M be the maximum

More information

Ph.D. Preliminary Examination MICROECONOMIC THEORY Applied Economics Graduate Program June 2017

Ph.D. Preliminary Examination MICROECONOMIC THEORY Applied Economics Graduate Program June 2017 Ph.D. Preliminary Examination MICROECONOMIC THEORY Applied Economics Graduate Program June 2017 The time limit for this exam is four hours. The exam has four sections. Each section includes two questions.

More information

Econ 302 Assignment 3 Solution. a 2bQ c = 0, which is the monopolist s optimal quantity; the associated price is. P (Q) = a b

Econ 302 Assignment 3 Solution. a 2bQ c = 0, which is the monopolist s optimal quantity; the associated price is. P (Q) = a b Econ 302 Assignment 3 Solution. (a) The monopolist solves: The first order condition is max Π(Q) = Q(a bq) cq. Q a Q c = 0, or equivalently, Q = a c, which is the monopolist s optimal quantity; the associated

More information

All Equilibrium Revenues in Buy Price Auctions

All Equilibrium Revenues in Buy Price Auctions All Equilibrium Revenues in Buy Price Auctions Yusuke Inami Graduate School of Economics, Kyoto University This version: January 009 Abstract This note considers second-price, sealed-bid auctions with

More information

Volume 29, Issue 3. The Effect of Project Types and Technologies on Software Developers' Efforts

Volume 29, Issue 3. The Effect of Project Types and Technologies on Software Developers' Efforts Volume 9, Issue 3 The Effect of Project Types and Technologies on Software Developers' Efforts Byung Cho Kim Pamplin College of Business, Virginia Tech Dongryul Lee Department of Economics, Virginia Tech

More information

CS364B: Frontiers in Mechanism Design Lecture #18: Multi-Parameter Revenue-Maximization

CS364B: Frontiers in Mechanism Design Lecture #18: Multi-Parameter Revenue-Maximization CS364B: Frontiers in Mechanism Design Lecture #18: Multi-Parameter Revenue-Maximization Tim Roughgarden March 5, 2014 1 Review of Single-Parameter Revenue Maximization With this lecture we commence the

More information

Corporate Control. Itay Goldstein. Wharton School, University of Pennsylvania

Corporate Control. Itay Goldstein. Wharton School, University of Pennsylvania Corporate Control Itay Goldstein Wharton School, University of Pennsylvania 1 Managerial Discipline and Takeovers Managers often don t maximize the value of the firm; either because they are not capable

More information

So we turn now to many-to-one matching with money, which is generally seen as a model of firms hiring workers

So we turn now to many-to-one matching with money, which is generally seen as a model of firms hiring workers Econ 805 Advanced Micro Theory I Dan Quint Fall 2009 Lecture 20 November 13 2008 So far, we ve considered matching markets in settings where there is no money you can t necessarily pay someone to marry

More information

GAME THEORY. Department of Economics, MIT, Follow Muhamet s slides. We need the following result for future reference.

GAME THEORY. Department of Economics, MIT, Follow Muhamet s slides. We need the following result for future reference. 14.126 GAME THEORY MIHAI MANEA Department of Economics, MIT, 1. Existence and Continuity of Nash Equilibria Follow Muhamet s slides. We need the following result for future reference. Theorem 1. Suppose

More information

Does Retailer Power Lead to Exclusion?

Does Retailer Power Lead to Exclusion? Does Retailer Power Lead to Exclusion? Patrick Rey and Michael D. Whinston 1 Introduction In a recent paper, Marx and Shaffer (2007) study a model of vertical contracting between a manufacturer and two

More information

ISSN BWPEF Uninformative Equilibrium in Uniform Price Auctions. Arup Daripa Birkbeck, University of London.

ISSN BWPEF Uninformative Equilibrium in Uniform Price Auctions. Arup Daripa Birkbeck, University of London. ISSN 1745-8587 Birkbeck Working Papers in Economics & Finance School of Economics, Mathematics and Statistics BWPEF 0701 Uninformative Equilibrium in Uniform Price Auctions Arup Daripa Birkbeck, University

More information

Partial privatization as a source of trade gains

Partial privatization as a source of trade gains Partial privatization as a source of trade gains Kenji Fujiwara School of Economics, Kwansei Gakuin University April 12, 2008 Abstract A model of mixed oligopoly is constructed in which a Home public firm

More information

Alternating-Offer Games with Final-Offer Arbitration

Alternating-Offer Games with Final-Offer Arbitration Alternating-Offer Games with Final-Offer Arbitration Kang Rong School of Economics, Shanghai University of Finance and Economic (SHUFE) August, 202 Abstract I analyze an alternating-offer model that integrates

More information

Practice Problems. w U(w, e) = p w e 2,

Practice Problems. w U(w, e) = p w e 2, Practice Problems nformation Economics (Ec 55) George Georgiadis Problem. Static Moral Hazard Consider an agency relationship in which the principal contracts with the agent. The monetary result of the

More information

Endogenous choice of decision variables

Endogenous choice of decision variables Endogenous choice of decision variables Attila Tasnádi MTA-BCE Lendület Strategic Interactions Research Group, Department of Mathematics, Corvinus University of Budapest June 4, 2012 Abstract In this paper

More information

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India July 2012

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India July 2012 Game Theory Lecture Notes By Y. Narahari Department of Computer Science and Automation Indian Institute of Science Bangalore, India July 2012 The Revenue Equivalence Theorem Note: This is a only a draft

More information

Game Theory: Normal Form Games

Game Theory: Normal Form Games Game Theory: Normal Form Games Michael Levet June 23, 2016 1 Introduction Game Theory is a mathematical field that studies how rational agents make decisions in both competitive and cooperative situations.

More information

Graduate Microeconomics II Lecture 7: Moral Hazard. Patrick Legros

Graduate Microeconomics II Lecture 7: Moral Hazard. Patrick Legros Graduate Microeconomics II Lecture 7: Moral Hazard Patrick Legros 1 / 25 Outline Introduction 2 / 25 Outline Introduction A principal-agent model The value of information 3 / 25 Outline Introduction A

More information

Auctions That Implement Efficient Investments

Auctions That Implement Efficient Investments Auctions That Implement Efficient Investments Kentaro Tomoeda October 31, 215 Abstract This article analyzes the implementability of efficient investments for two commonly used mechanisms in single-item

More information

Online Appendix. Bankruptcy Law and Bank Financing

Online Appendix. Bankruptcy Law and Bank Financing Online Appendix for Bankruptcy Law and Bank Financing Giacomo Rodano Bank of Italy Nicolas Serrano-Velarde Bocconi University December 23, 2014 Emanuele Tarantino University of Mannheim 1 1 Reorganization,

More information

Microeconomic Theory II Preliminary Examination Solutions

Microeconomic Theory II Preliminary Examination Solutions Microeconomic Theory II Preliminary Examination Solutions 1. (45 points) Consider the following normal form game played by Bruce and Sheila: L Sheila R T 1, 0 3, 3 Bruce M 1, x 0, 0 B 0, 0 4, 1 (a) Suppose

More information

A folk theorem for one-shot Bertrand games

A folk theorem for one-shot Bertrand games Economics Letters 6 (999) 9 6 A folk theorem for one-shot Bertrand games Michael R. Baye *, John Morgan a, b a Indiana University, Kelley School of Business, 309 East Tenth St., Bloomington, IN 4740-70,

More information

Problem Set 3: Suggested Solutions

Problem Set 3: Suggested Solutions Microeconomics: Pricing 3E00 Fall 06. True or false: Problem Set 3: Suggested Solutions (a) Since a durable goods monopolist prices at the monopoly price in her last period of operation, the prices must

More information

Online Appendix for Debt Contracts with Partial Commitment by Natalia Kovrijnykh

Online Appendix for Debt Contracts with Partial Commitment by Natalia Kovrijnykh Online Appendix for Debt Contracts with Partial Commitment by Natalia Kovrijnykh Omitted Proofs LEMMA 5: Function ˆV is concave with slope between 1 and 0. PROOF: The fact that ˆV (w) is decreasing in

More information

CS364A: Algorithmic Game Theory Lecture #14: Robust Price-of-Anarchy Bounds in Smooth Games

CS364A: Algorithmic Game Theory Lecture #14: Robust Price-of-Anarchy Bounds in Smooth Games CS364A: Algorithmic Game Theory Lecture #14: Robust Price-of-Anarchy Bounds in Smooth Games Tim Roughgarden November 6, 013 1 Canonical POA Proofs In Lecture 1 we proved that the price of anarchy (POA)

More information

Practice Problems 2: Asymmetric Information

Practice Problems 2: Asymmetric Information Practice Problems 2: Asymmetric Information November 25, 2013 1 Single-Agent Problems 1. Nonlinear Pricing with Two Types Suppose a seller of wine faces two types of customers, θ 1 and θ 2, where θ 2 >

More information

License and Entry Decisions for a Firm with a Cost Advantage in an International Duopoly under Convex Cost Functions

License and Entry Decisions for a Firm with a Cost Advantage in an International Duopoly under Convex Cost Functions Journal of Economics and Management, 2018, Vol. 14, No. 1, 1-31 License and Entry Decisions for a Firm with a Cost Advantage in an International Duopoly under Convex Cost Functions Masahiko Hattori Faculty

More information

Unraveling versus Unraveling: A Memo on Competitive Equilibriums and Trade in Insurance Markets

Unraveling versus Unraveling: A Memo on Competitive Equilibriums and Trade in Insurance Markets Unraveling versus Unraveling: A Memo on Competitive Equilibriums and Trade in Insurance Markets Nathaniel Hendren October, 2013 Abstract Both Akerlof (1970) and Rothschild and Stiglitz (1976) show that

More information

Robust Trading Mechanisms with Budget Surplus and Partial Trade

Robust Trading Mechanisms with Budget Surplus and Partial Trade Robust Trading Mechanisms with Budget Surplus and Partial Trade Jesse A. Schwartz Kennesaw State University Quan Wen Vanderbilt University May 2012 Abstract In a bilateral bargaining problem with private

More information

Rent Shifting and the Order of Negotiations

Rent Shifting and the Order of Negotiations Rent Shifting and the Order of Negotiations Leslie M. Marx Duke University Greg Shaffer University of Rochester December 2006 Abstract When two sellers negotiate terms of trade with a common buyer, the

More information

Problem Set: Contract Theory

Problem Set: Contract Theory Problem Set: Contract Theory Problem 1 A risk-neutral principal P hires an agent A, who chooses an effort a 0, which results in gross profit x = a + ε for P, where ε is uniformly distributed on [0, 1].

More information

13.1 Infinitely Repeated Cournot Oligopoly

13.1 Infinitely Repeated Cournot Oligopoly Chapter 13 Application: Implicit Cartels This chapter discusses many important subgame-perfect equilibrium strategies in optimal cartel, using the linear Cournot oligopoly as the stage game. For game theory

More information

Price cutting and business stealing in imperfect cartels Online Appendix

Price cutting and business stealing in imperfect cartels Online Appendix Price cutting and business stealing in imperfect cartels Online Appendix B. Douglas Bernheim Erik Madsen December 2016 C.1 Proofs omitted from the main text Proof of Proposition 4. We explicitly construct

More information

Relational Incentive Contracts

Relational Incentive Contracts Relational Incentive Contracts Jonathan Levin May 2006 These notes consider Levin s (2003) paper on relational incentive contracts, which studies how self-enforcing contracts can provide incentives in

More information

Trade Agreements and the Nature of Price Determination

Trade Agreements and the Nature of Price Determination Trade Agreements and the Nature of Price Determination By POL ANTRÀS AND ROBERT W. STAIGER The terms-of-trade theory of trade agreements holds that governments are attracted to trade agreements as a means

More information

Competitive Outcomes, Endogenous Firm Formation and the Aspiration Core

Competitive Outcomes, Endogenous Firm Formation and the Aspiration Core Competitive Outcomes, Endogenous Firm Formation and the Aspiration Core Camelia Bejan and Juan Camilo Gómez September 2011 Abstract The paper shows that the aspiration core of any TU-game coincides with

More information

ECON106P: Pricing and Strategy

ECON106P: Pricing and Strategy ECON106P: Pricing and Strategy Yangbo Song Economics Department, UCLA June 30, 2014 Yangbo Song UCLA June 30, 2014 1 / 31 Game theory Game theory is a methodology used to analyze strategic situations in

More information

Endogenous Price Leadership and Technological Differences

Endogenous Price Leadership and Technological Differences Endogenous Price Leadership and Technological Differences Maoto Yano Faculty of Economics Keio University Taashi Komatubara Graduate chool of Economics Keio University eptember 3, 2005 Abstract The present

More information

Problem Set 2 Answers

Problem Set 2 Answers Problem Set 2 Answers BPH8- February, 27. Note that the unique Nash Equilibrium of the simultaneous Bertrand duopoly model with a continuous price space has each rm playing a wealy dominated strategy.

More information

Homework 2: Dynamic Moral Hazard

Homework 2: Dynamic Moral Hazard Homework 2: Dynamic Moral Hazard Question 0 (Normal learning model) Suppose that z t = θ + ɛ t, where θ N(m 0, 1/h 0 ) and ɛ t N(0, 1/h ɛ ) are IID. Show that θ z 1 N ( hɛ z 1 h 0 + h ɛ + h 0m 0 h 0 +

More information

Counterparty Risk in the Over-the-Counter Derivatives Market: Heterogeneous Insurers with Non-commitment

Counterparty Risk in the Over-the-Counter Derivatives Market: Heterogeneous Insurers with Non-commitment Counterparty Risk in the Over-the-Counter Derivatives Market: Heterogeneous Insurers with Non-commitment Hao Sun November 26, 2017 Abstract I study risk-taking and optimal contracting in the over-the-counter

More information

CEREC, Facultés universitaires Saint Louis. Abstract

CEREC, Facultés universitaires Saint Louis. Abstract Equilibrium payoffs in a Bertrand Edgeworth model with product differentiation Nicolas Boccard University of Girona Xavier Wauthy CEREC, Facultés universitaires Saint Louis Abstract In this note, we consider

More information

General Examination in Microeconomic Theory SPRING 2014

General Examination in Microeconomic Theory SPRING 2014 HARVARD UNIVERSITY DEPARTMENT OF ECONOMICS General Examination in Microeconomic Theory SPRING 2014 You have FOUR hours. Answer all questions Those taking the FINAL have THREE hours Part A (Glaeser): 55

More information

MORAL HAZARD AND BACKGROUND RISK IN COMPETITIVE INSURANCE MARKETS: THE DISCRETE EFFORT CASE. James A. Ligon * University of Alabama.

MORAL HAZARD AND BACKGROUND RISK IN COMPETITIVE INSURANCE MARKETS: THE DISCRETE EFFORT CASE. James A. Ligon * University of Alabama. mhbri-discrete 7/5/06 MORAL HAZARD AND BACKGROUND RISK IN COMPETITIVE INSURANCE MARKETS: THE DISCRETE EFFORT CASE James A. Ligon * University of Alabama and Paul D. Thistle University of Nevada Las Vegas

More information

Hedonic Equilibrium. December 1, 2011

Hedonic Equilibrium. December 1, 2011 Hedonic Equilibrium December 1, 2011 Goods have characteristics Z R K sellers characteristics X R m buyers characteristics Y R n each seller produces one unit with some quality, each buyer wants to buy

More information

Chapter 23: Choice under Risk

Chapter 23: Choice under Risk Chapter 23: Choice under Risk 23.1: Introduction We consider in this chapter optimal behaviour in conditions of risk. By this we mean that, when the individual takes a decision, he or she does not know

More information

Problem Set 2. Theory of Banking - Academic Year Maria Bachelet March 2, 2017

Problem Set 2. Theory of Banking - Academic Year Maria Bachelet March 2, 2017 Problem Set Theory of Banking - Academic Year 06-7 Maria Bachelet maria.jua.bachelet@gmai.com March, 07 Exercise Consider an agency relationship in which the principal contracts the agent, whose effort

More information

SCREENING BY THE COMPANY YOU KEEP: JOINT LIABILITY LENDING AND THE PEER SELECTION EFFECT

SCREENING BY THE COMPANY YOU KEEP: JOINT LIABILITY LENDING AND THE PEER SELECTION EFFECT SCREENING BY THE COMPANY YOU KEEP: JOINT LIABILITY LENDING AND THE PEER SELECTION EFFECT Author: Maitreesh Ghatak Presented by: Kosha Modi February 16, 2017 Introduction In an economic environment where

More information

Online Appendix for "Optimal Liability when Consumers Mispredict Product Usage" by Andrzej Baniak and Peter Grajzl Appendix B

Online Appendix for Optimal Liability when Consumers Mispredict Product Usage by Andrzej Baniak and Peter Grajzl Appendix B Online Appendix for "Optimal Liability when Consumers Mispredict Product Usage" by Andrzej Baniak and Peter Grajzl Appendix B In this appendix, we first characterize the negligence regime when the due

More information

Effects of Wealth and Its Distribution on the Moral Hazard Problem

Effects of Wealth and Its Distribution on the Moral Hazard Problem Effects of Wealth and Its Distribution on the Moral Hazard Problem Jin Yong Jung We analyze how the wealth of an agent and its distribution affect the profit of the principal by considering the simple

More information

Lecture 9: Basic Oligopoly Models

Lecture 9: Basic Oligopoly Models Lecture 9: Basic Oligopoly Models Managerial Economics November 16, 2012 Prof. Dr. Sebastian Rausch Centre for Energy Policy and Economics Department of Management, Technology and Economics ETH Zürich

More information

ECON/MGMT 115. Industrial Organization

ECON/MGMT 115. Industrial Organization ECON/MGMT 115 Industrial Organization 1. Cournot Model, reprised 2. Bertrand Model of Oligopoly 3. Cournot & Bertrand First Hour Reviewing the Cournot Duopoloy Equilibria Cournot vs. competitive markets

More information

Interest on Reserves, Interbank Lending, and Monetary Policy: Work in Progress

Interest on Reserves, Interbank Lending, and Monetary Policy: Work in Progress Interest on Reserves, Interbank Lending, and Monetary Policy: Work in Progress Stephen D. Williamson Federal Reserve Bank of St. Louis May 14, 015 1 Introduction When a central bank operates under a floor

More information

Problem Set: Contract Theory

Problem Set: Contract Theory Problem Set: Contract Theory Problem 1 A risk-neutral principal P hires an agent A, who chooses an effort a 0, which results in gross profit x = a + ε for P, where ε is uniformly distributed on [0, 1].

More information

ADVERSE SELECTION PAPER 8: CREDIT AND MICROFINANCE. 1. Introduction

ADVERSE SELECTION PAPER 8: CREDIT AND MICROFINANCE. 1. Introduction PAPER 8: CREDIT AND MICROFINANCE LECTURE 2 LECTURER: DR. KUMAR ANIKET Abstract. We explore adverse selection models in the microfinance literature. The traditional market failure of under and over investment

More information

A new model of mergers and innovation

A new model of mergers and innovation WP-2018-009 A new model of mergers and innovation Piuli Roy Chowdhury Indira Gandhi Institute of Development Research, Mumbai March 2018 A new model of mergers and innovation Piuli Roy Chowdhury Email(corresponding

More information

TitleMoral Hazard and Renegotiation with. Citation Review of Economic Studies, 68(1):

TitleMoral Hazard and Renegotiation with. Citation Review of Economic Studies, 68(1): TitleMoral Hazard and Renegotiation with Author(s) Ishiguro, Shingo; Itoh, Hideshi Citation Review of Economic Studies, 68(1): Issue 2001-01 Date Type Journal Article Text Version author URL http://hdl.handle.net/10086/14116

More information

Topics in Contract Theory Lecture 3

Topics in Contract Theory Lecture 3 Leonardo Felli 9 January, 2002 Topics in Contract Theory Lecture 3 Consider now a different cause for the failure of the Coase Theorem: the presence of transaction costs. Of course for this to be an interesting

More information

Recap First-Price Revenue Equivalence Optimal Auctions. Auction Theory II. Lecture 19. Auction Theory II Lecture 19, Slide 1

Recap First-Price Revenue Equivalence Optimal Auctions. Auction Theory II. Lecture 19. Auction Theory II Lecture 19, Slide 1 Auction Theory II Lecture 19 Auction Theory II Lecture 19, Slide 1 Lecture Overview 1 Recap 2 First-Price Auctions 3 Revenue Equivalence 4 Optimal Auctions Auction Theory II Lecture 19, Slide 2 Motivation

More information

Microeconomics Qualifying Exam

Microeconomics Qualifying Exam Summer 2018 Microeconomics Qualifying Exam There are 100 points possible on this exam, 50 points each for Prof. Lozada s questions and Prof. Dugar s questions. Each professor asks you to do two long questions

More information