Organization, Careers and Incentives

Size: px
Start display at page:

Download "Organization, Careers and Incentives"

Transcription

1 Organization, Careers and Incentives Chapter 4 Robert Gary-Bobo March / 31

2 Introduction Introduction A firm is a pyramid of opportunities (Alfred P. Sloan). Promotions can be used to create incentives. But promotion opportunities are constrained by the organization s structure. Common problem : shortage of promotion possibilities leads to turnover (... or top-heavy organizations : 1 president, 10 vice-presidents...). Other well-known problem : the Peter principle. We study the interaction of organizational constraints and the provision of incentives. 2 / 31

3 Introduction Introduction 2 Firms manage the workers careers subject to a constraint on promotion opportunities. Firms may change their organizational structure to relax incentive constraints. It can be shown that promotions arise as part of an optimal arrangement. Theory of the internal labor market (Doeringer and Piore (1971)). There is a port of entry at the bottom of the firm s hierarchy. Workers remain at the bottom of the hierarchy or are promoted ; they are never demoted. A career path emerges as an optimal solution for the firm (minimizing the wage bill). Pay is backloaded. Forced turnover may be used as a an instrument to provide incentives. 3 / 31

4 Introduction Introduction 3 This chapter is mainly based on a recent paper by Ke, Li and Powell (2016). For a survey of work on internal labor markets see e.g. R. Gibbons and M. Waldman (1999), E. Lazear and P. Oyer (2013), M. Waldmann (2013). Pioneering work on this topic is due to E. Lazear and S. Rosen (1981) : the theory of tournaments. Important assumption here : wages are attached to positions in the organization. 4 / 31

5 The model : basic assumptions A model : basic assumptions and notation A firm and a large mass of identical risk-neutral workers interact repeatedly. Time is discrete, t = 1, 2,..., horizon is infinite and all agents share the same discount factor δ (0, 1). In each period, the firm chooses its personnel policy : wages, promotion rules. We restrict attention to stationary (time-independent) policies. Production requires two activities indexed i = 1, 2. A worker performing activity i chooses effort e i {0, 1}. Cost of effort is c i e i. e i = 0 means shirking ; e i = 1 worker is productive. 5 / 31

6 The model : basic assumptions A model : basic assumptions and notation 2 Effort is private information of the worker but shirking is detected with probability q i (0, 1) during a given period. The firm employs masses N 1 and N 2 of workers in activities i = 1, 2. The revenue is given by a production function F (N 1, N 2 ). The wage of activity i is denoted w i. Let p ij be the probability of being assigned (promoted) to activity j next period given activity i today. Let d i denote the voluntary departure rate from activity i (spontaneous turnover) : d i N i workers leave in each period. The firm chooses the number of positions N i for each i in each period. Let H i denote the number of new hires for activity i in a given period. 6 / 31

7 The model : basic assumptions Timing of game Firm chooses N i, i = 1, 2. Positions are filled with incumbent workers and new hires H i. Firm offers a contract (w i, p ij ) with i, j = 1, 2 in each activity i (a wage and assignment policy). Wages are tied to activities by assumption. The outside option of a worker is set equal to zero. A worker caught shirking is fired (most severe punishment is optimal given that it never happens on the equilibrium path). Assume that d 1 + d 2 1 departure rates are low. 1 p i1 p i2 0 is the forced turnover rate in activity i. Total turnover rate = voluntary + forced = d i + (1 d i )(1 p i1 p i2 ). 7 / 31

8 The model : basic assumptions Parallel careers benchmark Suppose that there are no promotions (parallel careers) : p 12 = 0 and p 21 = 0. Firm treats activities independently and maximizes profit F (N 1, N 2 ) w 1 N 1 w 2 N 2 subject to IR and IC constraints. The payoff of activity i to a worker is by definition v i = w i c i + (1 d i )δv i. The workers chooses e i = 1 if w i c i + (1 d i )δv i w i + (1 d i )(1 q i )δv i this is equivalent to v i R i, where by definition, R i = c i (1 d i )δq i 8 / 31

9 The model : basic assumptions Parallel careers benchmark 2 LEMMA 1. If a firm maximizes profits subject to parallel careers (i.e., p 12 = 0 and p 21 = 0), then, (i) the firm chooses wages ŵ i = c i + (1 (1 d i )δ)r i yielding rents v i = R i to each worker, i = 1, 2 ; (ii) hires H i = d i N i in every period, i = 1, 2 ; (iii) ŵ i = F (N 1, N 2 ) N i > c i. This result is consistent with efficiency-wage theory à la Shapiro-Stiglitz (1984) : wages are higher than outside options (ŵ i c i > 0) and R i > 0. Employment levels are lower than optimal levels (first-best optimality requires F / N i = c i ). 9 / 31

10 The model : basic assumptions Proof of Lemma 1 Easy. Incentive compatibility should hold with equality (to save on wage bill), thus, v i = w i c i + (1 d i )δv i = w i + (1 d i )(1 q i )δv i. from this we derive v i = c i /(q i δ(1 d i )) = R i. Finally, Q.E.D. w i = c i + [1 (1 d i )δ]r i > c i. 10 / 31

11 Managing careers Managing careers 1 : PK and IR constraints More generally. Given (N 1, N 2 ), the firm wants to minimize the wage bill w 1 N 1 + w 2 N 2. Promise-keeping constraints PK i must hold, i = 1, 2 v 1 = w 1 c 1 + (1 d 1 )δ(p 11 v 1 + p 12 v 2 ) v 2 = w 2 c 2 + (1 d 2 )δ(p 21 v 1 + p 22 v 2 ) Individual rationality constraints IR i must hold, i = 1, 2 v 1 0, v / 31

12 Managing careers Managing careers 2 : IC constraints Workers IC constraints denoted IC i, i = 1, 2, can be written, v 1 w 1 + (1 d 1 )(1 q 1 )δ(p 11 v 1 + p 12 v 2 ), v 2 w 2 + (1 d 2 )(1 q 2 )δ(p 21 v 1 + p 22 v 2 ). It is then easy to see that IC i constraints are equivalent to, p 11 v 1 + p 12 v 2 R 1, p 21 v 1 + p 22 v 2 R / 31

13 Managing careers Managing careers 3 : Flow (FL) constraints The recruitment policy must be feasible. The FL i constraints are as follows, p 11 (1 d 1 )N 1 + p 21 (1 d 2 )N 2 + H 1 = N 1, p 12 (1 d 1 )N 1 + p 22 (1 d 2 )N 2 + H 2 = N 2. Probabilities p ij must be nonnegative and we must have p i1 + p i2 1 for all i. 13 / 31

14 Managing careers Solution of the problem in two steps Fix (N 1, N 2 ). First step, minimize wage bill w 1 N 1 + w 2 N 2 subject to IR i, IC i, PK i and FL i. We find (H i, p ij, w i ) as a function of (N 1, N 2 ). Second step, choose (N 1, N 2 ) to maximize profits F (N 1, N 2 ) w 1 N 1 w 2 N 2. (Hi, p ij, w i ) is a personnel policy. Define W (N 1, N 2 ) = Min{w 1 N 1 + w 2 N 2 PK, IC, IR, IC} 14 / 31

15 Optimal personnel policy Optimal personnel policy We assume R 2 R 1, activity 2 is called the high-rent activity (without loss of generality). We now study the case in which N 1 N 2. Activity 1 workers will be called the bottom workers...activity 2 is called the top job. We will soon understand why. Since d 1 + d 2 1 and N 1 N 2 we have N 2 d 2 N 1 (1 d 1 ). There are less top workers who quit than there are bottom workers who stay. In other words, there are enough incumbent bottom workers to fill all the top-job vacancies generated by departures. 15 / 31

16 Optimal personnel policy Existence of a port of entry LEMMA 2. All new workers are hired in the bottom job, i.e., H 2 = 0. Intuition : Hiring directly in the top job requires the payment of a rent v2 to the new worker. Hiring in the bottom job and promoting requires the payment of a rent v1 < v 2. Hiring in the bottom job makes IC and IR constraints easier to satisfy, because of a positive promotion probability, p 12 > 0. Promotions increases motivation of bottom workers, using the rents of top workers. This allows the firm to reduce the bottom wage w / 31

17 Optimal personnel policy Proof of Lemma 2 Denote M i = (1 d i )N i. Substitute first PK i and then FL i in the wage bill W. We have, W = w 1 N 1 + w 2 N 2 = i [v i + c i δ(1 d i )(p i1 v 1 + p i2 v 2 )]N i = i = i c i N i + i c i N i + i v i [N i δ((1 d 1 )p 1i N 1 + (1 d 2 )p 2i N 2 )] v i [N i δ(n i H i )]. We must therefore minimize, v 1 [(1 δ)n 1 + δh 1 ] + v 2 [(1 δ)n 2 + δh 2 ] 17 / 31

18 Optimal personnel policy Proof of Lemma 2, ctd We assume (and check later that indeed) v1 v2. By way of contradiction, suppose now that H2 > 0. Then, since d 2N 2 < (1 d 1)N 1 = M 1, we have N 2 = M 2 + d 2N 2 < M 1 + M 2. Now, if p 12 = 1 and p 22 = 1, it follows from the FL constraints that we must have M 1 + M 2 + H 2 = N 2. But this is impossible if H 2 0. Too many workers arrive in the top job. Hence either p12 < 1 or p22 < 1. Assume first that p 12 < 1. Consider a perturbation of the personnel policy (H i, p ij ). Fewer workers are hired into activity 2, more are hired in activity 1. H 1 = H 1 + M 1ɛ, p 11 = p 11 ɛ, H 2 = H 2 M 1ɛ, p 12 = p 12 + ɛ. We compute the wage bill with this change, and ɛ > 0 small enough, we find W = W δɛm 1(v 2 v 1 ) W. If v 2 > v 1, the original personel policy is not optimal. If v 2 = v 1, the perturbation has no effect, we can choose H 2 = 0. Reasoning is the same if p 22 < 1 (we then keep slightly more workers in top job). Q.E.D. 18 / 31

19 Optimal personnel policy Sufficient separation rents d 2 N 2 top positions are freed in any period. This frees up an amount d 2 N 2 R 2 of rents that can be reallocated. If d 2 N 2 R 2 (1 d 1 )N 1 R 1 we are in the case of sufficient separation rents. LEMMA 3. If v1 v 2, and we have sufficient separation rents, in an optimal personnel policy, bottom workers receive zero rents, v1 = 0. Top workers receive v2 = R 2. There are no demotions, p21 = 0. Workers receive full job security, pi1 + p i2 = 1, for all i. Top workers are never promoted, it follows that they must receive at least R 2 to satisfy the IC constraint. With sufficient separation rents, promotion prospects alone provide enough motivation for bottom workers, so IC 1 is slack. Bottom worker s per-period payoffs are lower than 0 but they hope to be promoted. If top workers were demoted, they should receive more. 19 / 31

20 Optimal personnel policy Proof of Lemma 3 We want to minimize W = v 1[(1 δ)n 1 + δh 1] + v 2(1 δ)n 2 since we know that H 2 = 0. IC constraints impose p 21v 1 + p 22v 2 R 2 (IC 2) and p 11v 1 + p 12v 2 R 1 (IC 1). It follows that if the solution satisfies v 2 v 1, IC 2 implies (p 21 + p 22)v 2 R 2 and finally v 2 R 2. On the other hand, IR constraints impose v 1 0. So, if the solution (v 1, v 2 ) = (0, R 2) is feasible (satisfies IR, IC, FL and PK) constraints, it is the optimal solution (given that we assume v 1 v 2 ). Remark that N 1 > N 2 implies (1 δ)n 1 + H 1 > (1 δ)n 2. It follows that a solution of the form v 1 = R 2 and v 2 = 0 is necessarily inefficient. It is sufficient to find transition probabilities (p ij ) such that (v 1, v 2 ) = (0, R 2) satisfies all the constraints. Take p 22 = 1 and p 12 = d 2N 2/((1 d 1)N 1) 1. Constraint IC 2 is trivially satisfied and IC 1 becomes p 12R 2 R 1 which is equivalent to d 2N 2R 2 (1 d 1)N 1R 1 (true by assumption here). Clearly, p 21 = 1 p 22 = 0 implies no demotions. 20 / 31

21 Optimal personnel policy Proof of Lemma 3, ctd. We now prove full job security at the bottom (no forced turnover). Adding up FL 1 and FL 2 with H 2 = 0 yields and it is easy to see that H 1 > 0. H 1 = N 1 M 1(p 11 + p 12) + N 2 M 2, Assume that p 11 + p 12 < 1. Set H 1 = H 1 M 1ɛ, and p 11 = p 11 + ɛ with ɛ > 0 small. The Fl contraints are still satisfied ; IC 1 is not affected ; all other constraints remain satisfied. The perturbation reduces the wage bill W weakly, since H 1 is reduced : it follows that p 11 + p 12 = 1 is part of an optimum. Q.E.D. Remark : IC 1 is slack because of sufficient separation rents : p 11v 1 + p 12v 2 = p 12v 2 = d 2N 2 (1 d 1)N 1 R 2 > R 1. Remark 2 : Full job security is optimal but it is not the only optimum. 21 / 31

22 Optimal personnel policy Insufficient separation rents In the second case, we can prove LEMMA 4. Assume that v1 v 2. If there are insufficient separation rents, i.e., d 2 N 2 R 2 < (1 d 1 )N 1 R 1, in a optimal policy, bottom workers receive zero rents, i.e., v1 = 0, top workers receive more than R 2, i.e., v2 > R 2 ; there are no demotions, i.e., p21 = 0 ; there is full job security at the bottom,i.e., p11 + p 12 = 1, and forced turnover at the top, p 22 < 1. Intuition : To increase incentives for bottom workers, some top workers must be fired. It s never optimal to increase wages at the bottom. The firm can recapture increased wages at the top by lowering wages at the bottom. Everything depends on the ratio N 1 /N 2, called the span. 22 / 31

23 Optimal personnel policy Proof of Lemma 4 Define the excess rent i = p i1 v 1 + p i2 v 2 R i. Using FL i ; we have M M 2 2 = i ((M 1p 1i + M 2p 2i )v i M i R i ) = (N 1 H 1)v 1 + (N 2 H 2)v 2 M 1R 1 M 2R 2. The objective function W can be rewritten as follows, W = i [N i c i + [(1 δ)(n i H i ) + H i ]v i ] = i [N i c i + H i v i + (1 δ)(n i H i )v i ] = i [N i c i + H i v i + (1 δ)(m i i + M i R i )]. We then find a lower bound for W, W N 1c 1 + N 2c 2 + (1 δ)(m 1R 1 + M 2R 2). If v 1 = 0 and 1 = 2 = 0 are feasible with H 2 = 0, we reach the lower bound. 23 / 31

24 Optimal personnel policy Proof of Lemma 4, ctd We first show that i = 0 for all i is feasible. With v1 = 0, IC becomes p 12v2 = R 1, p 22v2 = R 2. Using FL i with i = 0 yields, M 1R 1 + M 2R 2 = Σ i (N i H i )vi = N 2v2. Therefore, v2 M1R1 + M2R2 (d2n2 + M2)R2 = > = N2R2 = R 2. N 2 N 2 N 2 From IC i, with v1 = 0 we derive the probabilities, p 12 = R1 v 2 = N 2R 1 M 1R 1 + M 2R 2, p 22 = R2 v 2 Since R 2 > R 1 and under insufficient separation rents, we have p 12 < p 22 < = N 2R 2 d 2N 2R 2 + M 2R 2 = 1. N 2R 2 M 1R 1 + M 2R / 31

25 Optimal personnel policy Proof of Lemma 4, ctd 2 We finally need to show no demotion at the top and full job security at the bottom. If p 21 > 0 choose ɛ > 0 small and define the perturbation, p 21 = p 21 ɛ, H 1 = H 1 + M 2ɛ. Constraint FL 1 is still satisfied and decreasing p 21 doesn t affect IC 2 since v1 = 0. It follows that p 21 = 0 is optimal, but we have forced turnover at the top since p22 < 1. The same logic as in Lemma 3 shows that p 11 + p 12 = 1 is part of an optimum. Q.E.D. 25 / 31

26 Optimal personnel policy Full characterization of optimal personnel policy A case remains to be studied : when equilibrium payoffs satisfy v 1 > v 2. It is possible to show that this can happen only if N 2 > N 1. PROPOSITION 1. If N 1 > N 2 the optimal policy satisfies v2 v 1. So Lemmata 2-4 characterize the solution, with the following features, (i) Hiring occurs only in the bottom job (port of entry). (ii) Bottom workers stay at the bottom or are promoted (well-defined career path). Top-workers are never demoted but may be fired. (iii) Bottom-job wages correspond to rents that are lower than R 1. Top-job wages correspond to rents that are higher than or equal to R 2, and v 2 > R 2 when there are insufficient separation rents. (iv) wages and probabilities of transition depend only on the span N 1 /N / 31

27 Optimal personnel policy Full characterization of optimal personnel policy 2 COROLLARY 1A. If N 1 > N 2 the optimal policy satisfies the following, (i) If there are sufficient separation rents, the wages are w 1 = c 1 δ d 2R 2 N 2 N 1 w 2 = c 2 + (1 δ)(1 d 2 )R 2 + d 2 R 2. (ii) Under insufficient separation rents, the wages are, w 1 = c 1 δ(1 d 1 )R 1 w 2 = c 2 + (1 δ)(1 d 2 )R 2 + N 1R 1 (1 d 1 ) N / 31

28 Optimal personnel policy Full characterization of optimal personnel policy 3 COROLLARY 1B. If N 1 > N 2 the optimal policy satisfies the following, (i) If there are sufficient separation rents, the labor cost function is W (N 1, N 2 ) = c 1 N 1 + c 2 N 2 + (1 δ)n 2 R 2. (ii) Under insufficient separation rents, the labor cost function becomes, W (N 1, N 2 ) = c 1 N 1 + c 2 N 2 + (1 δ)[(1 d 1 )N 1 R 1 + (1 d 2 )N 2 R 2 ] Remark : The labor-cost function is linear in (N 1, N 2 ). The coefficients on N i are the marginal labor costs. These coefficients are typically larger than c i (inefficiency). 28 / 31

29 Optimal production Optimal production We can now determine the organizational structure (N1, N 2 ). The firm solves the following problem, Maximize F (N 1, N 2 ) W (N 1, N 2 ) with respect to (N 1, N 2 ). A standard problem in microeconomics. First, given the production level y, choose the structure (N 1 (y ), N 2 (y )) that minimizes W subject to F (N 1, N 2 ) y. A technical assumption on the MRTS F 1 /F 2 would make sure that N 1 > N 2. Drawing : isoquants, iso-cost lines. 29 / 31

30 Optimal production Important consequences Let MRPi have be the marginal revenue product of the firm for activity i, we At the optimum, we have MRP i = F (N 1 (y ), N 2 (y )) N i w 1 < MRP 1 and w 2 > MRP 2. This departure from neo-classical marginal productivity theory is due to moral hazard (asymmetric information ; imperfectly observable effort). Backloading of compensation implies that creating additional positions at the top relaxes the firm s incentive constraints, so the firm will go beyond w 2 = MRP 2. Creating additional positions at the bottom tightens the incentive constraints so the firm will stop hiring at the bottom before reaching the point at which w 1 = MRP / 31

31 Empirical relevance Empirical relevance Internal labor markets : Workers tend to be hired into lower-level positions ; there are internal promotions ; demotions are exceptional. Empirical facts : There are wage jumps at promotion. Higher wages at the top serve a dual role of motivating both top and bottom workers. Firms may exhibit a preference for internal candidates (insider bias in hiring at the top). External hires at the top are typically more difficult (they have a cost in terms of incentives at the bottom). Firms may adopt forced turnover policies to create promotion opportunities (e.g., Mandatory-retirement policies binding on the firm s side). 31 / 31

Managing Careers in Organizations

Managing Careers in Organizations Managing Careers in Organizations Rongzhu Ke Jin Li Michael Powell August 11, 2016 Abstract Firms organizational structures impose constraints on their ability to use promotion-based incentives. We develop

More information

The Firm-Growth Imperative: A Theory of Production and Personnel Management

The Firm-Growth Imperative: A Theory of Production and Personnel Management The Firm-Growth Imperative: A Theory of Production and Personnel Management Rongzhu Ke Hong Kong Baptist University Jin Li London School of Economics Michael Powell Kellogg School of Management Management

More information

Managing Careers in Organizations

Managing Careers in Organizations Managing Careers in Organizations Rongzhu Ke Jin Li Michael Powell January 17, 2016 Abstract Firms organizational structures impose constraints on their ability to use promotion-based incentives. We develop

More information

Termination of Dynamic Contracts in an Equilibrium Labor Market Model

Termination of Dynamic Contracts in an Equilibrium Labor Market Model Termination of Dynamic Contracts in an Equilibrium Labor Market Model Cheng Wang First version: May, 2004 Final version: February, 2006 Abstract I construct an equilibrium model of the labor market where

More information

Contracts in informed-principal problems with moral hazard

Contracts in informed-principal problems with moral hazard Contracts in informed-principal problems with moral hazard Nicholas C Bedard January 20, 2016 Abstract In many cases, an employer has private information about the potential productivity of a worker, who

More information

Models of Wage Dynamics

Models of Wage Dynamics Models of Wage Dynamics Toshihiko Mukoyama Department of Economics Concordia University and CIREQ mukoyama@alcor.concordia.ca December 13, 2005 1 Introduction This paper introduces four different models

More information

Impatience vs. Incentives

Impatience vs. Incentives Impatience vs. Incentives Marcus Opp John Zhu University of California, Berkeley (Haas) & University of Pennsylvania, Wharton January 2015 Opp, Zhu (UC, Wharton) Impatience vs. Incentives January 2015

More information

Optimal Insurance of Search Risk

Optimal Insurance of Search Risk Optimal Insurance of Search Risk Mikhail Golosov Yale University and NBER Pricila Maziero University of Pennsylvania Guido Menzio University of Pennsylvania and NBER November 2011 Introduction Search and

More information

General idea. Firms can use competition between agents for. We mainly focus on incentives. 1 incentive and. 2 selection purposes 3 / 101

General idea. Firms can use competition between agents for. We mainly focus on incentives. 1 incentive and. 2 selection purposes 3 / 101 3 Tournaments 3.1 Motivation General idea Firms can use competition between agents for 1 incentive and 2 selection purposes We mainly focus on incentives 3 / 101 Main characteristics Agents fulll similar

More information

Lecture Notes - Dynamic Moral Hazard

Lecture 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 information

A Theory of Financing Constraints and Firm Dynamics by Clementi and Hopenhayn - Quarterly Journal of Economics (2006)

A Theory of Financing Constraints and Firm Dynamics by Clementi and Hopenhayn - Quarterly Journal of Economics (2006) A Theory of Financing Constraints and Firm Dynamics by Clementi and Hopenhayn - Quarterly Journal of Economics (2006) A Presentation for Corporate Finance 1 Graduate School of Economics December, 2009

More information

Microeconomics II Lecture 4: Incomplete Information Karl Wärneryd Stockholm School of Economics November 2016

Microeconomics II Lecture 4: Incomplete Information Karl Wärneryd Stockholm School of Economics November 2016 Microeconomics II Lecture 4: Incomplete Information Karl Wärneryd Stockholm School of Economics November 2016 1 Modelling incomplete information So far, we have studied games in which information was complete,

More information

Lecture Notes - Dynamic Moral Hazard

Lecture 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 information

Backwards Induction. Extensive-Form Representation. Backwards Induction (cont ) The player 2 s optimization problem in the second stage

Backwards Induction. Extensive-Form Representation. Backwards Induction (cont ) The player 2 s optimization problem in the second stage Lecture Notes II- Dynamic Games of Complete Information Extensive Form Representation (Game tree Subgame Perfect Nash Equilibrium Repeated Games Trigger Strategy Dynamic Games of Complete Information Dynamic

More information

Optimal Incentive Contract with Costly and Flexible Monitoring

Optimal Incentive Contract with Costly and Flexible Monitoring Optimal Incentive Contract with Costly and Flexible Monitoring Anqi Li 1 Ming Yang 2 1 Department of Economics, Washington University in St. Louis 2 Fuqua School of Business, Duke University May 2016 Motivation

More information

5. Relational Contracts and Career Concerns

5. Relational Contracts and Career Concerns 5. Relational Contracts and Career Concerns Klaus M. Schmidt LMU Munich Contract Theory, Summer 2010 Klaus M. Schmidt (LMU Munich) 5. Relational Contracts and Career Concerns Contract Theory, Summer 2010

More information

EC476 Contracts and Organizations, Part III: Lecture 2

EC476 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 information

Module 8: Multi-Agent Models of Moral Hazard

Module 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 information

1. Linear Incentive Schemes

1. Linear Incentive Schemes ECO 317 Economics of Uncertainty Fall Term 2009 Slides to accompany 20. Incentives for Effort - One-Dimensional Cases 1. Linear Incentive Schemes Agent s effort x, principal s outcome y. Agent paid w.

More information

1. The General Linear-Quadratic Framework

1. The General Linear-Quadratic Framework ECO 317 Economics of Uncertainty Fall Term 2009 Slides to accompany 21. Incentives for Effort - Multi-Dimensional Cases 1. The General Linear-Quadratic Framework Notation: x = (x j ), n-vector of agent

More information

The Impact of Organizer Market Structure on Participant Entry Behavior in a Multi-Tournament Environment

The Impact of Organizer Market Structure on Participant Entry Behavior in a Multi-Tournament Environment The Impact of Organizer Market Structure on Participant Entry Behavior in a Multi-Tournament Environment Timothy Mathews and Soiliou Daw Namoro Abstract. A model of two tournaments, each with a field of

More information

Microeconomic Theory (501b) Problem Set 10. Auctions and Moral Hazard Suggested Solution: Tibor Heumann

Microeconomic 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 information

"A Theory of Financing Constraints and Firm Dynamics"

A Theory of Financing Constraints and Firm Dynamics 1/21 "A Theory of Financing Constraints and Firm Dynamics" G.L. Clementi and H.A. Hopenhayn (QJE, 2006) Cesar E. Tamayo Econ612- Economics - Rutgers April 30, 2012 2/21 Program I Summary I Physical environment

More information

Decision, Risk and Operations Working Papers Series

Decision, Risk and Operations Working Papers Series Decision, Risk and Operations Working Papers Series The cost of moral hazard and limited liability in the principal-agent problem F. Balmaceda, S. R. Balseiro, J. R. Correa, N. E. Stier-Moses July 2010;

More information

(a) Output only takes on two values, so the wage will also take on two values: z(0) = 0 0 z(0) 0. max s(d)z { d. n { z 1 0 (n + d) 2.

(a) Output only takes on two values, so the wage will also take on two values: z(0) = 0 0 z(0) 0. max s(d)z { d. n { z 1 0 (n + d) 2. Steve Pischke/Jin Li Labor Economics II Problem Set Answers. An Agency Problem (a) Output only takes on two values, so the wage will also take on two values: z( ) z 0 z The worker s problem: z(0) 0 0 z(0)

More information

Blocking Development

Blocking Development Blocking Development Daron Acemoglu Department of Economics Massachusetts Institute of Technology October 11, 2005 Taking Stock Lecture 1: Institutions matter. Social conflict view, a useful perspective

More information

Government 2005: Formal Political Theory I

Government 2005: Formal Political Theory I Government 2005: Formal Political Theory I Lecture 11 Instructor: Tommaso Nannicini Teaching Fellow: Jeremy Bowles Harvard University November 9, 2017 Overview * Today s lecture Dynamic games of incomplete

More information

Mechanism Design: Basic Concepts

Mechanism Design: Basic Concepts Advanced Microeconomic Theory: Economics 521b Spring 2011 Juuso Välimäki Mechanism Design: Basic Concepts The setup is similar to that of a Bayesian game. The ingredients are: 1. Set of players, i {1,

More information

Deceptive Advertising with Rational Buyers

Deceptive Advertising with Rational Buyers Deceptive Advertising with Rational Buyers September 6, 016 ONLINE APPENDIX In this Appendix we present in full additional results and extensions which are only mentioned in the paper. In the exposition

More information

Teoria das organizações e contratos

Teoria 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 information

A Pure Theory of Wage Dispersion

A Pure Theory of Wage Dispersion A Pure Theory of Wage Dispersion Cheng Wang and Youzhi Yang February 13, 2017 Abstract We look for equilibrium wage dispersion in a labor market model with search and on-the-job search, identical firms

More information

Game Theory, Information, Incentives

Game Theory, Information, Incentives Game Theory, Information, Incentives Ronald Wendner Department of Economics Graz University, Austria Course # 320.501: Analytical Methods (part 6) The Moral Hazard Problem Moral hazard as a problem of

More information

Layo Costs and E ciency with Asymmetric Information

Layo Costs and E ciency with Asymmetric Information Layo Costs and E ciency with Asymmetric Information Alain Delacroix (UQAM) and Etienne Wasmer (Sciences-Po) September 4, 2009 Abstract Wage determination under asymmetric information generates ine ciencies

More information

Internal Labor Markets and Worker Rents

Internal Labor Markets and Worker Rents Internal Labor Markets and Worker Rents Matthias Kräkel y Anja Schöttner z Abstract We show that establishing an internal labor market by o ering combined contracts across hierarchy levels strictly dominates

More information

Mortenson Pissarides Model

Mortenson Pissarides Model Mortenson Pissarides Model Prof. Lutz Hendricks Econ720 November 22, 2017 1 / 47 Mortenson / Pissarides Model Search models are popular in many contexts: labor markets, monetary theory, etc. They are distinguished

More information

Hidden information. Principal s payoff: π (e) w,

Hidden information. Principal s payoff: π (e) w, Hidden information Section 14.C. in MWG We still consider a setting with information asymmetries between the principal and agent. However, the effort is now perfectly observable. What is unobservable?

More information

Adverse selection, signaling & screening

Adverse selection, signaling & screening , signaling & screening Applications of game theory 2 Department of Economics, University of Oslo ECON5200 Fall 2009 Seller Buyer Situation 1: Symmetric info One market 1 2 prob high quality 1 2 prob high

More information

SELECTION EFFECTS WITH HETEROGENEOUS FIRMS: ONLINE APPENDIX

SELECTION EFFECTS WITH HETEROGENEOUS FIRMS: ONLINE APPENDIX SELECTION EFFECTS WITH HETEROGENEOUS FIRMS: ONLINE APPENDIX Monika Mrázová University of Geneva and CEPR J. Peter Neary University of Oxford, CEPR and CESifo Appendix K: Selection into Worker Screening

More information

EconS Microeconomic Theory II Midterm Exam #2 - Answer Key

EconS Microeconomic Theory II Midterm Exam #2 - Answer Key EconS 50 - Microeconomic Theory II Midterm Exam # - Answer Key 1. Revenue comparison in two auction formats. Consider a sealed-bid auction with bidders. Every bidder i privately observes his valuation

More information

Managerial Turnover and Entrenchment

Managerial Turnover and Entrenchment Managerial Turnover and Entrenchment Zenan Wu Xi Weng March, 8 Abstract We consider a two-period model in which the success of the firm depends on the effort of a first-period manager the incumbent) as

More information

Introduction to Game Theory

Introduction to Game Theory Introduction to Game Theory Part 2. Dynamic games of complete information Chapter 2. Two-stage games of complete but imperfect information Ciclo Profissional 2 o Semestre / 2011 Graduação em Ciências Econômicas

More information

Optimal Contract to Induce Continued Effort

Optimal Contract to Induce Continued Effort Optimal Contract to Induce Continued Effort Peng Sun Duke University, psun@duke.edu Feng Tian University of Michigan, ftor@umich.edu We consider a basic model of a risk-neutral principal incentivizing

More information

Asymmetric Information in Economic Policy. Noah Williams

Asymmetric Information in Economic Policy. Noah Williams Asymmetric Information in Economic Policy Noah Williams University of Wisconsin - Madison Williams Econ 899 Asymmetric Information Risk-neutral moneylender. Borrow and lend at rate R = 1/β. Strictly risk-averse

More information

Online Appendix to Asymmetric Information and Search Frictions: A Neutrality Result

Online Appendix to Asymmetric Information and Search Frictions: A Neutrality Result Online Appendix to Asymmetric Information and Search Frictions: A Neutrality Result Neel Rao University at Buffalo, SUNY August 26, 2016 Abstract The online appendix extends the analysis to the case where

More information

Optimal Mirrleesian Income Taxation with Tax Avoidance

Optimal Mirrleesian Income Taxation with Tax Avoidance Optimal Mirrleesian Income Taxation with Tax Avoidance Daniel Moncayo January 30, 2014 Introduction People have more than one way to respond to taxation. The labor supply elasticity alone can t explain

More information

G5212: Game Theory. Mark Dean. Spring 2017

G5212: Game Theory. Mark Dean. Spring 2017 G5212: Game Theory Mark Dean Spring 2017 Adverse Selection We are now going to go back to the Adverse Selection framework Mechanism Design with 1 agent Though that agent may be of many types Note that

More information

Moral Hazard. Felix Munoz-Garcia. Advanced Microeconomics II - Washington State University

Moral Hazard. Felix Munoz-Garcia. Advanced Microeconomics II - Washington State University Moral Hazard Felix Munoz-Garcia Advanced Microeconomics II - Washington State University Moral Hazard Reading materials: Start with Prajit Dutta, Chapter 19. MWG, Chapter 14 Macho-Stadler and Perez-Castrillo,

More information

Contracts, Risk-Sharing, and Incentives

Contracts, Risk-Sharing, and Incentives Contracts, Risk-Sharing, and Incentives Bruno Van der Linden Université catholique de Louvain January 25, 2011 (ESL-UCL) 1 / 102 Introduction The labour relationship: Generally a long-term one The labour

More information

G5212: Game Theory. Mark Dean. Spring 2017

G5212: Game Theory. Mark Dean. Spring 2017 G5212: Game Theory Mark Dean Spring 2017 Adverse Selection We have now completed our basic analysis of the adverse selection model This model has been applied and extended in literally thousands of ways

More information

Implementability, Walrasian Equilibria, and Efficient Matchings

Implementability, Walrasian Equilibria, and Efficient Matchings Implementability, Walrasian Equilibria, and Efficient Matchings Piotr Dworczak and Anthony Lee Zhang Abstract In general screening problems, implementable allocation rules correspond exactly to Walrasian

More information

Repeated bargaining. Shiran Rachmilevitch. February 16, Abstract

Repeated bargaining. Shiran Rachmilevitch. February 16, Abstract Repeated bargaining Shiran Rachmilevitch February 16, 2017 Abstract Two symmetric players bargain over an infinite stream of pies. There is one exogenously given pie in every period, whose size is stochastic,

More information

Lecture 5: Labour Economics and Wage-Setting Theory

Lecture 5: Labour Economics and Wage-Setting Theory Lecture 5: Labour Economics and Wage-Setting Theory Spring 2017 Lars Calmfors Literature: Chapter 7 Cahuc-Carcillo-Zylberberg: 435-445 1 Topics Weakly efficient bargaining Strongly efficient bargaining

More information

Relative Performance Evaluation

Relative Performance Evaluation Relative Performance Evaluation Ram Singh Department of Economics March, 205 Ram Singh (Delhi School of Economics) Moral Hazard March, 205 / 3 Model I Multiple Agents: Relative Performance Evaluation Relative

More information

LEN model. And, the agent is risk averse with utility function for wealth w and personal cost of input c (a), a {a L,a H }

LEN model. And, the agent is risk averse with utility function for wealth w and personal cost of input c (a), a {a L,a H } LEN model The LEN model is a performance evaluation frame for dealing with unbounded performance measures. In particular, LEN stands for Linear compensation, negative Exponential utility, and Normally

More information

Under-Employment and the Trickle-Down of Unemployment - Online Appendix Not for Publication

Under-Employment and the Trickle-Down of Unemployment - Online Appendix Not for Publication Under-Employment and the Trickle-Down of Unemployment - Online Appendix Not for Publication Regis Barnichon Yanos Zylberberg July 21, 2016 This online Appendix contains a more comprehensive description

More information

5. Externalities and Public Goods. Externalities. Public Goods types. Public Goods

5. Externalities and Public Goods. Externalities. Public Goods types. Public Goods 5. Externalities and Public Goods 5. Externalities and Public Goods Externalities Welfare properties of Walrasian Equilibria rely on the hidden assumption of private goods: the consumption of the good

More information

Competitive Search: A Test of Direction and Efficiency

Competitive Search: A Test of Direction and Efficiency Bryan Engelhardt 1 Peter Rupert 2 1 College of the Holy Cross 2 University of California, Santa Barbara November 20, 2009 1 / 26 Introduction Search & Matching: Important framework for labor market analysis

More information

DEPARTMENT OF ECONOMICS

DEPARTMENT OF ECONOMICS ISSN 0819-2642 ISBN 978 0 7340 4010 7 THE UNIVERSITY OF MELBOURNE DEPARTMENT OF ECONOMICS RESEARCH PAPER NUMBER 1044 February 2008 Costly External Finance, Reallocation, and Aggregate Productivity by Shuyun

More information

where u is the decision-maker s payoff function over her actions and S is the set of her feasible actions.

where u is the decision-maker s payoff function over her actions and S is the set of her feasible actions. Seminars on Mathematics for Economics and Finance Topic 3: Optimization - interior optima 1 Session: 11-12 Aug 2015 (Thu/Fri) 10:00am 1:00pm I. Optimization: introduction Decision-makers (e.g. consumers,

More information

Advanced Microeconomics

Advanced Microeconomics Advanced Microeconomics ECON5200 - Fall 2012 Introduction What you have done: - consumers maximize their utility subject to budget constraints and firms maximize their profits given technology and market

More information

5. Externalities and Public Goods

5. Externalities and Public Goods 5. Externalities and Public Goods Welfare properties of Walrasian Equilibria rely on the hidden assumption of private goods: the consumption of the good by one person has no effect on other people s utility,

More information

1. Unemployment. March 20, Nr. 1

1. Unemployment. March 20, Nr. 1 1. Unemployment March 20, 2007 Nr. 1 Job destruction, and employment protection. I So far, only creation decision. Clearly both creation and destruction margins. So endogenize job destruction. Can then

More information

The Early State: Hebrew University of Jerusalem. Royal Holloway University of London

The Early State: Hebrew University of Jerusalem. Royal Holloway University of London The Early State: Malthusian Dynamics and Asymmetric Information Joram Mayshar Hebrew University of Jerusalem Omer Moav Hebrew University of Jerusalem Royal Holloway University of London Zvika Neeman Tel-Aviv

More information

Managerial Turnover and Entrenchment

Managerial Turnover and Entrenchment Managerial Turnover and Entrenchment Zenan Wu Xi Weng Abstract In this paper, we consider a two-period model in which the success of the firm is realized in the second period and it depends both on period-one

More information

Optimal Insurance of Search Risk

Optimal Insurance of Search Risk Optimal Insurance of Search Risk Mikhail Golosov Yale University and NBER Pricila Maziero University of Pennsylvania Guido Menzio University of Pennsylvania and NBER May 27, 2011 Introduction Search and

More information

Economic Growth: Lecture 8, Overlapping Generations

Economic Growth: Lecture 8, Overlapping Generations 14.452 Economic Growth: Lecture 8, Overlapping Generations Daron Acemoglu MIT November 20, 2018 Daron Acemoglu (MIT) Economic Growth Lecture 8 November 20, 2018 1 / 46 Growth with Overlapping Generations

More information

Introduction: Asymmetric Information and the Coase Theorem

Introduction: Asymmetric Information and the Coase Theorem BGPE Intensive Course: Contracts and Asymmetric Information Introduction: Asymmetric Information and the Coase Theorem Anke Kessler Anke Kessler p. 1/?? Introduction standard neoclassical economic theory

More information

Module 16: Signaling

Module 16: Signaling Module 16: Signaling Information Economics (Ec 515) George Georgiadis Players with private information can take some action to signal their type. Taking this action would distinguish them from other types.

More information

Fiscal Rules and Discretion under Self-Enforcement

Fiscal Rules and Discretion under Self-Enforcement Fiscal Rules and Discretion under Self-Enforcement Marina Halac and Pierre Yared Columbia University May 2018 Motivation Countries impose rules to constrain governments policy decisions Fiscal rules in

More information

EconS 501 Final Exam - December 10th, 2018

EconS 501 Final Exam - December 10th, 2018 EconS 501 Final Exam - December 10th, 018 Show all your work clearly and make sure you justify all your answers. NAME 1. Consider the market for smart pencil in which only one firm (Superapiz) enjoys a

More information

Bayesian Games and Mechanism Design Definition of Bayes Equilibrium

Bayesian Games and Mechanism Design Definition of Bayes Equilibrium Bayesian Games and Mechanism Design Definition of Bayes Equilibrium Harsanyi [1967] What happens when players do not know one another s payoffs? Games of incomplete information versus games of imperfect

More information

Contracting with Disagreement about Performance Evaluation and Compensation

Contracting with Disagreement about Performance Evaluation and Compensation Contracting with Disagreement about Performance Evaluation and Compensation Anqi Li Department of Economics Washington University in St. Louis March 2015 Motivation Organizational frictions from disagreements

More information

Growing competition in electricity industry and the power source structure

Growing competition in electricity industry and the power source structure Growing competition in electricity industry and the power source structure Hiroaki Ino Institute of Intellectual Property and Toshihiro Matsumura Institute of Social Science, University of Tokyo [Preliminary

More information

Principal-Agent model: Hidden Information

Principal-Agent model: Hidden Information Principal-Agent model: Hidden Information Laont-Martimort, ch 2,3 Agent is the producer who will produce q units of the good for the principal rm-regulator or worker - employer Principal's utility is V

More information

II. Analysis of Linear Programming Solutions

II. Analysis of Linear Programming Solutions Optimization Methods Draft of August 26, 2005 II. Analysis of Linear Programming Solutions Robert Fourer Department of Industrial Engineering and Management Sciences Northwestern University Evanston, Illinois

More information

Lectures 6, 7 and part of 8

Lectures 6, 7 and part of 8 Lectures 6, 7 and part of 8 Uriel Feige April 26, May 3, May 10, 2015 1 Linear programming duality 1.1 The diet problem revisited Recall the diet problem from Lecture 1. There are n foods, m nutrients,

More information

University of Toronto Department of Economics. Carrots and Sticks: Prizes and Punishments in Contests

University of Toronto Department of Economics. Carrots and Sticks: Prizes and Punishments in Contests University of Toronto Department of Economics Working Paper 399 Carrots and Sticks: Prizes and Punishments in Contests By Benny Moldovanu, Aner Sela and Xianwen Shi March 25, 21 Carrots and Sticks: Prizes

More information

Sensitivity Analysis and Duality in LP

Sensitivity Analysis and Duality in LP Sensitivity Analysis and Duality in LP Xiaoxi Li EMS & IAS, Wuhan University Oct. 13th, 2016 (week vi) Operations Research (Li, X.) Sensitivity Analysis and Duality in LP Oct. 13th, 2016 (week vi) 1 /

More information

Information obfuscation in a game of strategic experimentation

Information obfuscation in a game of strategic experimentation MANAGEMENT SCIENCE Vol. 00, No. 0, Xxxxx 0000, pp. 000 000 issn 0025-1909 eissn 1526-5501 00 0000 0001 INFORMS doi 10.1287/xxxx.0000.0000 c 0000 INFORMS Authors are encouraged to submit new papers to INFORMS

More information

Lecture Slides - Part 4

Lecture Slides - Part 4 Lecture Slides - Part 4 Bengt Holmstrom MIT February 2, 2016. Bengt Holmstrom (MIT) Lecture Slides - Part 4 February 2, 2016. 1 / 65 Mechanism Design n agents i = 1,..., n agent i has type θ i Θ i which

More information

Directed Search with Multiple Job Applications. Manolis Galenianos, Philipp A. Kircher

Directed Search with Multiple Job Applications. Manolis Galenianos, Philipp A. Kircher ÓÒÒ ÓÒ Ù ÓÒ È Ô Ö Discussion Paper 20/2005 Directed Search with Multiple Job Applications by Manolis Galenianos, Philipp A. Kircher June 2005 ÓÒÒ Ö Ù Ø Ë ÓÓÐ Ó ÓÒÓÑ Ô ÖØÑ ÒØ Ó ÓÒÓÑ ÍÒ Ú Ö ØÝ Ó ÓÒÒ Ò Ù

More information

Master 2 Macro I. Lecture notes #9 : the Mortensen-Pissarides matching model

Master 2 Macro I. Lecture notes #9 : the Mortensen-Pissarides matching model 2012-2013 Master 2 Macro I Lecture notes #9 : the Mortensen-Pissarides matching model Franck Portier (based on Gilles Saint-Paul lecture notes) franck.portier@tse-fr.eu Toulouse School of Economics Version

More information

1. The General Linear-Quadratic Framework

1. The General Linear-Quadratic Framework ECO 37 Economics of Uncertainty Fall Term 009 Notes for lectures Incentives for Effort - Multi-Dimensional Cases Here we consider moral hazard problems in the principal-agent framewor, restricting the

More information

Incentives for Quality through Endogenous Routing

Incentives for Quality through Endogenous Routing Incentives for Quality through Endogenous Routing Lauren Xiaoyuan Lu Jan A. Van Mieghem R. Canan Savaskan Kellogg School of Management, Northwestern University August 16, 2006 Abstract We study how rework

More information

The ambiguous impact of contracts on competition in the electricity market Yves Smeers

The ambiguous impact of contracts on competition in the electricity market Yves Smeers The ambiguous impact of contracts on competition in the electricity market Yves Smeers joint work with Frederic Murphy Climate Policy and Long Term Decisions-Investment and R&D, Bocconi University, Milan,

More information

Solution to Tutorial 9

Solution to Tutorial 9 Solution to Tutorial 9 2012/2013 Semester I MA4264 Game Theory Tutor: Xiang Sun November 2, 2012 Exercise 1. We consider a game between two software developers, who sell operating systems (OS) for personal

More information

Economics 210B Due: September 16, Problem Set 10. s.t. k t+1 = R(k t c t ) for all t 0, and k 0 given, lim. and

Economics 210B Due: September 16, Problem Set 10. s.t. k t+1 = R(k t c t ) for all t 0, and k 0 given, lim. and Economics 210B Due: September 16, 2010 Problem 1: Constant returns to saving Consider the following problem. c0,k1,c1,k2,... β t Problem Set 10 1 α c1 α t s.t. k t+1 = R(k t c t ) for all t 0, and k 0

More information

Theory Field Examination Game Theory (209A) Jan Question 1 (duopoly games with imperfect information)

Theory Field Examination Game Theory (209A) Jan Question 1 (duopoly games with imperfect information) Theory Field Examination Game Theory (209A) Jan 200 Good luck!!! Question (duopoly games with imperfect information) Consider a duopoly game in which the inverse demand function is linear where it is positive

More information

Avoiding the Cost of a Bad Hire: On the Optimality of Pay to Quit Programs

Avoiding the Cost of a Bad Hire: On the Optimality of Pay to Quit Programs Avoiding the Cost of a Bad Hire: On the Optimality of Pay to Quit Programs Dana Foarta Stanford GSB Takuo Sugaya Stanford GSB November 18, 2017 Abstract Contracts that compensate workers if they choose

More information

Investment banking careers: An equilibrium theory of overpaid jobs

Investment banking careers: An equilibrium theory of overpaid jobs ISSN 0956-8549-690 Investment banking careers: An equilibrium theory of overpaid jobs By Ulf Axelson Philip Bond FINANCIAL MARKETS GROUP DISCUSSION PAPER 690 October 2011 Ulf Axelson joined the London

More information

Introduction to Game Theory

Introduction to Game Theory Introduction to Game Theory Part 3. Dynamic games of incomplete information Chapter 2. Signaling Games Ciclo Profissional 2 o Semestre / 2011 Graduação em Ciências Econômicas V. Filipe Martins-da-Rocha

More information

Informed Principal in Private-Value Environments

Informed Principal in Private-Value Environments Informed Principal in Private-Value Environments Tymofiy Mylovanov Thomas Tröger University of Bonn June 21, 2008 1/28 Motivation 2/28 Motivation In most applications of mechanism design, the proposer

More information

Moral Hazard in Teams

Moral Hazard in Teams Moral Hazard in Teams Ram Singh Department of Economics September 23, 2009 Ram Singh (Delhi School of Economics) Moral Hazard September 23, 2009 1 / 30 Outline 1 Moral Hazard in Teams: Model 2 Unobservable

More information

Economics 2450A: Public Economics Section 8: Optimal Minimum Wage and Introduction to Capital Taxation

Economics 2450A: Public Economics Section 8: Optimal Minimum Wage and Introduction to Capital Taxation Economics 2450A: Public Economics Section 8: Optimal Minimum Wage and Introduction to Capital Taxation Matteo Paradisi November 1, 2016 In this Section we develop a theoretical analysis of optimal minimum

More information

Renegotiation-Proof Contract in Repeated Agency

Renegotiation-Proof Contract in Repeated Agency Renegotiation-Proof Contract in Repeated Agency Rui R. Zhao Department of Economics University at Albany - SUNY Albany, NY 12222, USA E-mail: rzhao@albany.edu Tel: 518-442-4760 Fax: 518-442-4736 This version:

More information

Diamond-Mortensen-Pissarides Model

Diamond-Mortensen-Pissarides Model Diamond-Mortensen-Pissarides Model Dongpeng Liu Nanjing University March 2016 D. Liu (NJU) DMP 03/16 1 / 35 Introduction Motivation In the previous lecture, McCall s model was introduced McCall s model

More information

Lecture Notes: Industrial Organization Joe Chen 1. The Structure Conduct Performance (SCP) paradigm:

Lecture Notes: Industrial Organization Joe Chen 1. The Structure Conduct Performance (SCP) paradigm: Joe Chen 1 1 Introduction 1.1 The Beginning Joe Bain and Edward Mason (the Harvard tradition): Empirical in nature (loose theories) The Structure Conduct Performance (SCP) paradigm: Structure (market structure):

More information

General Examination in Macroeconomic Theory

General Examination in Macroeconomic Theory General Examination in Macroeconomic Theory Fall 2003 You have FOUR hours Solve all questions The exam has 4 parts Each part has its own sheet Please spend the following time on each part I 60 minutes

More information

PIER Working Paper

PIER Working Paper Penn Institute for Economic Research Department of Economics University of Pennsylvania 3718 Locust Walk Philadelphia, PA 19104-6297 pier@econ.upenn.edu http://economics.sas.upenn.edu/pier PIER Working

More information

ONLINE APPENDIX. Upping the Ante: The Equilibrium Effects of Unconditional Grants to Private Schools

ONLINE APPENDIX. Upping the Ante: The Equilibrium Effects of Unconditional Grants to Private Schools ONLINE APPENDIX Upping the Ante: The Equilibrium Effects of Unconditional Grants to Private Schools T. Andrabi, J. Das, A.I. Khwaja, S. Ozyurt, and N. Singh Contents A Theory A.1 Homogeneous Demand.................................

More information