When to Ask for an Update: Timing in Strategic Communication. National University of Singapore June 5, 2018

Size: px
Start display at page:

Download "When to Ask for an Update: Timing in Strategic Communication. National University of Singapore June 5, 2018"

Transcription

1 When to Ask for an Update: Timing in Strategic Communication Ying Chen Johns Hopkins University Atara Oliver Rice University National University of Singapore June 5, 2018

2 Main idea In many communication situations, the sender learns about the state over time. Examples: A manager who reports to an executive learns about an investment opportunity by visiting various markets to investigate local conditions. An advisor to a politician consults different experts on the implications of a proposed policy on different dimensions. Natural instrument for eliciting information: timing of report frequent updates or a summary report?

3 Overview A project s value depends on two aspects. An agent (sender) potentially learns about the value of one aspect in each period. When asked, the sender chooses whether or not to disclose his signal. A principal (receiver) decides whether to take on the project. Each party wants the project accepted if its value exceeds his/her own threshold; the sender has a lower threshold.

4 Overview We compare the following reporting protocols: Infrequent updating: receiver asks for one report at the end. Frequent updating: receiver asks for a report in each period.

5 Main findings Crucial: whether nondisclosure leads to acceptance or rejection. If nondisclosure leads to rejection, frequency of reporting does not matter.

6 Main findings Crucial: whether nondisclosure leads to acceptance or rejection. If nondisclosure leads to rejection, frequency of reporting does not matter. If nondisclosure leads to acceptance, frequency matters. Frequent reporting facilitates information transmission if (i) the interests are sufficiently aligned; (ii) it is unlikely that the sender observes an informative signal in the second period. Infrequent reporting is better otherwise.

7 Static disclosure game An agent (sender) privately observes a signal s about the value of a project v, distributed according to continuous cdf F on [0, 1]. s = with probability p; s = v with probability 1 p. The sender can either disclose (m = s) or not (m = ). (Sender cannot prove that he has observed s =.) A principal (receiver) then decides whether to accept the project (Y or N). If project is rejected, both receive payoff 0; if accepted, receiver s payoff is v c R and sender s payoff is v c S. 0 c S < c R : the sender is biased in favor of acceptance. Special case: c S = 0. The sender always prefers acceptance.

8 Equilibrium in static disclosure game The receiver chooses Y if m c R and N if m < c R in equilibrium. If m = :?

9 Equilibrium in static disclosure game The receiver chooses Y if m c R and N if m < c R in equilibrium. If m = :? To address problem of multiple equilibria, Consider a perturbation s.t. the sender gains ε > 0 by revealing s. Look at limit equilibrium as ε 0. Analogous to truth-leaning" equilibrium in Hart, Kremer and Perry (2016). The sender reveals s if s c S or if s c R. If s (c S, c R ):?

10 Case I: c R above expectation of v full revelation Let v denote expectation of v. Suppose c R > v (rejection under prior). m = induces N. The sender reveals all s.

11 Case II: c R below expectation of v Suppose c R v. v 0 : posterior expectation of v when receiving if the sender conceals s (c S, c R ). v 0 p v + (1 p) c R c = S vdf p + (1 p)[f (c R ) F (c S )] < v.

12 Case II (a): Nondisclosure leads to acceptance Suppose c R v 0. m = induces Y. The sender conceals s (c S, c R ) and induces Y.

13 Case II (b): Nondisclosure leads to rejection. Suppose v 0 < c R < v. Is concealing s (c S, c R ) a (limit) equilibrium? No, since would induce N in this case profitable deviation for s (c S, c R ) (in the perturbed game).

14 Case II (b): Nondisclosure leads to rejection. Suppose v 0 < c R < v. Is concealing s (c S, c R ) a (limit) equilibrium? No, since would induce N in this case profitable deviation for s (c S, c R ) (in the perturbed game). Is revealing s (c S, c R ) an equilibrium? No, since would induce Y in this case profitable deviation for s (c S, c R ).

15 Case II (b): Nondisclosure leads to rejection. For v 0 < c R < v, There exists ŝ (c S, c R ) such that the sender reveals s (c S, ŝ) and conceals s [ŝ, c R ). The receiver is indifferent between Y and N when receiving. In the limit equilibrium, m = induces N with prob. 1.

16 Summary of equilibria in static game High c R : nondisclosure leads to rejection; full disclosure of s. Intermediate c R : nondisclosure leads to rejection; partial disclosure of s (c S, c R ). Low c R : nondisclosure leads to acceptance; no disclosure of s (c S, c R ).

17 Dynamic model A project has two aspects: v 1, v 2. Total value of the project is v = g(v 1, v 2 ). g : [0, 1] 2 R + is continuous and increasing in v 1 and v 2. Normalize g(0, 0) = 0. v i is distributed according to continuous cdf F i on [0, 1]; v 1 and v 2 are independent. Preferences of players are the same as in the static game. Assume that c R < g(1, 1): it is optimal for R to accept the project for some realizations of v. Special case: c S = 0, player S always wants the projected accepted.

18 Dynamic model In each period t = 1, 2, the sender observes a signal s t about v t. s t = with probability p t (0, 1); s t = v t with probability 1 p t. We compare two games that differ in the timing of updates.

19 Game Γ I : only one report In Γ I, receiver solicits a summary report at the end of period 2. After observing both s 1 and s 2, the sender sends m {(s 1, s 2 ), (s 1, ), (, s 2 ), (, )}. After receiving m, the receiver chooses a {Y, N}.

20 Game Γ F : frequent report In Γ F, receiver solicits a report from the sender in every period. In each period t, the sender makes a report m t {s t, } after observing s t. After receiving m 1 and m 2, the receiver chooses a {Y, N}.

21 Strategies in Γ I The sender s (pure) reporting strategy is µ I (s 1, s 2 ) {(s 1, s 2 ), (s 1, ), (, s 2 ), (, )}. The receiver s action strategy is α I (m) [0, 1]: probability of choosing Y when receiving m.

22 Strategies in Γ F The sender s (pure) reporting strategy consists of µ F 1 (s 1) {s 1, }; µ F 2 (s 1, s 2, m 1 ) {s 2, }; The receiver s action strategy is α F (m 1, m 2 ) [0, 1]: probability of choosing Y when receiving (m 1, m 2 ).

23 Equilibrium Solution concept: PBE with refinement. Again, consider the perturbation such that the sender gains ε > 0 by revealing s t. Look at limit equilibria as ε 0.

24 Equilibrium outcome Equilibrium outcome: mapping between S signals and the actions that R is induced to take. In Γ I, equilibrium outcome function y I (s 1, s 2 )= α I (µ I (s 1, s 2 )). In Γ F, y F (s 1, s 2 )= α F (µ F 1 (s 1), µ F 2 (s 1, s 2, µ F 1 (s 1))). We say that the equilibrium outcomes in Γ I and Γ F are equivalent if y I (s 1, s 2 ) = y F (s 1, s 2 ) with probability 1.

25 Example: v = min{v 1, v 2 } Perfect complements: each aspect has to be above c i for player i to prefer acceptance.

26 Some cutoffs for equilibrium characterization. Consider message (v 1, ). Suppose R believes that either s 2 = or s 2 = v 2 (c S, c R ). Let v 1 be defined by E(v m = (v 1, )) = c R if a solution in [0, 1] exists. (If no solution, let v 1 > 1.) That is, v 1 is such that R s posterior expectation of v when receiving (v 1, ) is equal to c R. For perfect complements, v 1 > c R. v 2 is similarly defined.

27 Cutoffs v 1 and v 2

28 High threshold for acceptance Suppose under prior, R chooses N.

29 High threshold for acceptance Suppose under prior, R chooses N. Consider Γ I first.

30 High threshold for acceptance Suppose under prior, R chooses N. Consider Γ I first. Receiver s equilibrium strategy is 1 if min{m 1, m 2 } c R, α I 1 if m 1 v 1 (m 1, m 2 ) = and m 2 =, 1 if m 1 = and m 2 v 2, 0 otherwise.

31 High c R : Equilibrium in Γ I If min{s 1, s 2 } c R : reveal both signals and induce Y. If min{s 1, s 2 } c S : reveal both signals and induce N. If min{s 1, s 2 } (c S, c R ): induce Y if s 1 v 1 or if s 2 v 2. If only one signal received, induce Y if s t v t.

32 High c R : Equilibrium in Γ I If min{s 1, s 2 } c R : reveal both signals and induce Y. If min{s 1, s 2 } c S : reveal both signals and induce N. If min{s 1, s 2 } (c S, c R ): induce Y if s 1 v 1 or if s 2 v 2. If only one signal received, induce Y if s t v t. Equilibrium outcome:

33 High c R : receiver s equilibrium strategy in Γ F If both aspects are revealed, α F is same as α I ; If only the first aspect is revealed, α F is same as α I ; To be determined for α F : only the second aspect is revealed. But note that α F (, m 2 ) = 0 if m 2 < c R.

34 High c R : equilibrium in Γ F S s strategy: reveal s 1 if s 1 c S or if s 1 c R ; conceal s 1 (c S, c R ).

35 High c R : equilibrium in Γ F S s strategy: reveal s 1 if s 1 c S or if s 1 c R ; conceal s 1 (c S, c R ). If s 1 c S, sender prefers N and therefore optimal to reveal. If s 1 v 1 : by revealing s 1, sender can induce his preferred action regardless of s 2. If s 1 [c R, v 1 ]: by revealing s 1, sender can induce Y if s 2 c R ; there is no gain from concealing s 1. If s 1 (c S, c R ): revealing s 1 can only induce N, concealing s 1 may induce Y if s 2 is sufficiently high. The sender therefore conceals.

36 High c R : equilibrium in Γ F If m 1 =, player R believes that either s 1 = or s 1 (c S, c R ). Hence, if only second aspect is revealed, R chooses Y iff m 2 v 2 : same as in Γ I.

37 High c R : equilibrium outcome in Γ F Receiver s strategy is the same as in Γ I. Y if both aspects are revealed to be higher than c R ; Y if only aspect t is revealed and it is higher than v t. Sender s strategy in period 1: conceal s 1 (c S, c R ). Equilibrium outcome:

38 High c R : equilibrium outcome independent of timing of updates Proposition Suppose v = min{v 1, v 2 }. If player R prefers to reject the project under her prior, then the equilibrium outcomes are equivalent in Γ I and Γ F.

39 High c R : equilibrium outcome independent of timing of updates Proposition Suppose v = min{v 1, v 2 }. If player R prefers to reject the project under her prior, then the equilibrium outcomes are equivalent in Γ I and Γ F. Implications: When R s threshold of acceptance is high, if there is a cost of soliciting a report, frequent reporting is inefficient. But if there is gain from early resolution, then frequent reporting is preferable. In the paper, we generalize the equivalence result by providing conditions under which it holds.

40 Low c R : (, ) induces Y in equilibrium For the equivalence result, we looked at the case in which nondisclosure leads to rejection in equilibrium. Now we consider low c R such that nondisclosure leads to acceptance in equilibrium. Consider Γ I first.

41 Low c R : equilibrium in Γ I Receiver s equilibrium strategy is the same as before, except that α I (, ) = 1. Note that (i) whenever S prefers N, he can just reveal his signals to induce N; (ii) any type can induce Y given that nondisclosure induces Y. Hence, S always induces his preferred action in Γ I.

42 Low c R : equilibrium outcome in Γ I Equilibrium outcome: Definition of v S t : When (s 1, s 2 ) = (v S 1, ) or (s 1, s 2 ) = (, v S 2 ), player S is indifferent between Y and N.

43 Low c R : equilibrium in Γ F s 1 c S : reveal since S prefers N for any s 2. s 1 v 1 : reveal since S can again induce his preferred action for any s 2. Consider s 1 (v S 1, v 1 ). If S conceals s 1, he can induce his preferred action for any s 2. If S reveals s 1, N will be induced if s 2 =, but he prefers Y in that case. Optimal for S to conceal.

44 Low c R : Sender s equilibrium strategy in Γ F Consider s 1 (c S, v1 S ): countervailing incentives. Since s 1 < v1 S, player S prefers N without further information on the second aspect. If s 2 =, player S is better off by revealing s 1. But since s 1 > c S, player S prefers Y if s 2 > c S. If s 2 > c S, player S is better off by concealing s 1. When nondisclosure leads to acceptances, concealing bad news early on has a cost.

45 Low c R : equilibrium in Γ F At s 1 = v 1 (c S, v1 S ), S is indifferent. Below v 1, the loss from concealing is greater. Above v 1, the loss from revealing is greater. Hence, reveal below v 1 and conceal above it.

46 Low c R : equilibrium in Γ F At s 1 = v 1 (c S, v1 S ), S is indifferent. Below v 1, the loss from concealing is greater. Above v 1, the loss from revealing is greater. Hence, reveal below v 1 and conceal above it. Equilibrium outcome:

47 When are outcomes different in Γ I and Γ F? (i) If s 1 v 1 and min{s 1, s 2 } (c S, c R ), then N is induced in Γ F whereas Y is induced in Γ I. Γ F Γ I

48 When are outcomes different in Γ I and Γ F? (ii) If s 1 (v 1, v S 1 ) and s 2 =, then Y is induced in Γ F whereas N is induced in Γ I. Γ F Γ I

49 Optimal frequency of update In both cases, R prefers N. In case (i), R is better off in Γ F. In case (ii), R is better off in Γ I. Intuitively, R prefers frequent updating when v 1 is high (more revelation of bad news early on) and prefers infrequent updating when v 1 is low. Higher c S and higher p 2 (probability that s 2 = ) imply stronger incentive to reveal higher v 1.

50 Optimal frequency of update for low c R Suppose v = min{v 1, v 2 } and v i is uniformly distributed on [0, 1]. Proposition Suppose (, ) induces Y in equilibrium in both games. (i) If the players interests are sufficiently close or p 2 is sufficiently high, then player R is better off in Γ F ; (ii) if c S > 0 is sufficiently far from c R and p 2 is sufficiently low, then player R is better off in Γ I.

51 Optimal frequency of update for low c R Suppose v = min{v 1, v 2 } and v i is uniformly distributed on [0, 1]. Proposition Suppose (, ) induces Y in equilibrium in both games. (i) If the players interests are sufficiently close or p 2 is sufficiently high, then player R is better off in Γ F ; (ii) if c S > 0 is sufficiently far from c R and p 2 is sufficiently low, then player R is better off in Γ I. If c S = 0, then S has no incentive to reveal any bad news in period 1 and we have equivalence again.

52 Optimal frequency of update: remarks Frequent updating exploits S s willingness to reveal bad news early on for fear that concealment will lead to acceptance of a bad project. For this incentive to work, it is important that the only opportunity for S to reveal s 1 is in period 1. Ex post inefficient. Plausible if the cost for the sender to admit hiding information is high. It can also be regarded as the receiver s commitment to not hearing or acting upon late disclosure. Example: Federal Rule of Civil Procedure 37 says if a party fails to disclose timely materials in discovery, it is sanctioned by the exclusion of the undisclosed information in a later motion/hearing/trial.

53 Alternative interpretation Multiple senders observe different aspects. Senders have common interest different from the receiver s. Γ I : senders pool their information together and make a joint report. Γ F : individual senders are consulted sequentially and publicly.

54 Summary High c R (nondisclosure leads to rejection): equilibrium outcome is same regardless of frequency of update. Low c R (nondisclosure leads to acceptance): frequency of updating matters. If divergence of interest is sufficiently low or it is unlikely for the sender to observe an informative signal in a later period, frequent updating is beneficial. Otherwise, the receiver should ask for only a summary report.

55 Related Literature Static disclosure with uncertainty about information endowment: Dye (1985); Jung and Kwon (1988), Shin (1994, 2003). Dynamic disclosure: Eihorn and Ziv (2008); Dye (2010); Acharya, Demarzo and Kremer (2011); Guttman, Kremer and Skrypacz (2014), Gratton, Holden and Kolotilin (2016).

56 Extensions and variations Multiple senders who observe signals of different aspects: in addition to joint report and sequential report, what about simultaneous report? What happens if the receiver can commit to a dynamic mechanism?

When to Ask for an Update: Timing in Strategic Communication

When to Ask for an Update: Timing in Strategic Communication When to Ask for an Update: Timing in Strategic Communication Work in Progress Ying Chen Johns Hopkins University Atara Oliver Rice University March 19, 2018 Main idea In many communication situations,

More information

Definitions and Proofs

Definitions and Proofs Giving Advice vs. Making Decisions: Transparency, Information, and Delegation Online Appendix A Definitions and Proofs A. The Informational Environment The set of states of nature is denoted by = [, ],

More information

ECO421: Communication

ECO421: Communication ECO421: Communication Marcin P ski February 9, 2018 Plan Introduction Asymmetric information means some players know more than the others. In real life, information can be transmitted A simple model of

More information

Game Theory. Wolfgang Frimmel. Perfect Bayesian Equilibrium

Game Theory. Wolfgang Frimmel. Perfect Bayesian Equilibrium Game Theory Wolfgang Frimmel Perfect Bayesian Equilibrium / 22 Bayesian Nash equilibrium and dynamic games L M R 3 2 L R L R 2 2 L R L 2,, M,2, R,3,3 2 NE and 2 SPNE (only subgame!) 2 / 22 Non-credible

More information

Equilibrium Refinements

Equilibrium Refinements Equilibrium Refinements Mihai Manea MIT Sequential Equilibrium In many games information is imperfect and the only subgame is the original game... subgame perfect equilibrium = Nash equilibrium Play starting

More information

Political Economy of Transparency

Political Economy of Transparency Political Economy of Transparency Raphael Galvão University of Pennsylvania rgalvao@sas.upenn.edu November 20, 2017 Abstract This paper develops a model where short-term reputation concerns guide the public

More information

Not Only What But also When A Theory of Dynamic Voluntary Disclosure

Not Only What But also When A Theory of Dynamic Voluntary Disclosure Not Only What But also When A Theory of Dynamic Voluntary Disclosure PRELIMINARY AND INCOMPLETE Ilan Guttman, Ilan Kremer and Andrzej Skrzypacz Stanford Graduate School of Business November 2011 1 Introduction

More information

Strategic Abuse and Accuser Credibility

Strategic Abuse and Accuser Credibility 1 / 33 Strategic Abuse and Accuser Credibility HARRY PEI and BRUNO STRULOVICI Department of Economics, Northwestern University November 16th, 2018 Montréal, Canada 2 / 33 Motivation Many crimes/abuses

More information

Communication with Self-Interested Experts Part II: Models of Cheap Talk

Communication with Self-Interested Experts Part II: Models of Cheap Talk Communication with Self-Interested Experts Part II: Models of Cheap Talk Margaret Meyer Nuffield College, Oxford 2013 Cheap Talk Models 1 / 27 Setting: Decision-maker (P) receives advice from an advisor

More information

joint with Jonathan Pogach (Penn) 2009 FESAMES at Tokyo Hong Kong University of Science and Technology Honesty vs. White Lies Kim & Pogach Overview

joint with Jonathan Pogach (Penn) 2009 FESAMES at Tokyo Hong Kong University of Science and Technology Honesty vs. White Lies Kim & Pogach Overview vs. White vs. joint with Jonathan Pogach (Penn) Kyungmin (Teddy) Kim Hong Kong University of Science and Technology 2009 FESAMES at Tokyo vs. White vs. Question Models Main Results Contributions 1 Honest

More information

Graduate Microeconomics II Lecture 5: Cheap Talk. Patrick Legros

Graduate Microeconomics II Lecture 5: Cheap Talk. Patrick Legros Graduate Microeconomics II Lecture 5: Cheap Talk Patrick Legros 1 / 35 Outline Cheap talk 2 / 35 Outline Cheap talk Crawford-Sobel Welfare 3 / 35 Outline Cheap talk Crawford-Sobel Welfare Partially Verifiable

More information

Wars of Attrition with Budget Constraints

Wars of Attrition with Budget Constraints Wars of Attrition with Budget Constraints Gagan Ghosh Bingchao Huangfu Heng Liu October 19, 2017 (PRELIMINARY AND INCOMPLETE: COMMENTS WELCOME) Abstract We study wars of attrition between two bidders who

More information

Discussion of "Persuasion in Global Games with an Application to Stress Testing" by Nicolas Inostroza and Alessandro Pavan

Discussion of Persuasion in Global Games with an Application to Stress Testing by Nicolas Inostroza and Alessandro Pavan Discussion of "Persuasion in Global Games with an Application to Stress Testing" by Nicolas Inostroza and Alessandro Pavan Stephen Morris IUB Stern Workshop March 2017 Basic Question Some policy ingredients:

More information

Persuading Skeptics and Reaffirming Believers

Persuading Skeptics and Reaffirming Believers Persuading Skeptics and Reaffirming Believers May, 31 st, 2014 Becker-Friedman Institute Ricardo Alonso and Odilon Camara Marshall School of Business - USC Introduction Sender wants to influence decisions

More information

The Social Value of Credible Public Information

The Social Value of Credible Public Information The Social Value of Credible Public Information Ercan Karadas NYU September, 2017 Introduction Model Analysis MOTIVATION This paper is motivated by the paper Social Value of Public Information, Morris

More information

Known Unknowns: Power Shifts, Uncertainty, and War.

Known Unknowns: Power Shifts, Uncertainty, and War. Known Unknowns: Power Shifts, Uncertainty, and War. Online Appendix Alexandre Debs and Nuno P. Monteiro May 10, 2016 he Appendix is structured as follows. Section 1 offers proofs of the formal results

More information

Persuasion Under Costly Lying

Persuasion Under Costly Lying Persuasion Under Costly Lying Teck Yong Tan Columbia University 1 / 43 Introduction Consider situations where agent designs learning environment (i.e. what additional information to generate) to persuade

More information

An Example of Conflicts of Interest as Pandering Disincentives

An Example of Conflicts of Interest as Pandering Disincentives An Example of Conflicts of Interest as Pandering Disincentives Saori Chiba and Kaiwen Leong Current draft: January 205 Abstract Consider an uninformed decision maker (DM) who communicates with a partially

More information

Communication in Cournot Oligopoly

Communication in Cournot Oligopoly Communication in Cournot Oligopoly PRELIMINARY AND INCOMPLETE Maria Goltsman Gregory Pavlov June 5, 20 Abstract We study communication in a static oligopoly model with unverifiable private information.

More information

On the Informed Principal Model with Common Values

On the Informed Principal Model with Common Values On the Informed Principal Model with Common Values Anastasios Dosis ESSEC Business School and THEMA École Polytechnique/CREST, 3/10/2018 Anastasios Dosis (ESSEC and THEMA) Informed Principal with Common

More information

Introduction. Introduction

Introduction. Introduction Bayesian Persuasion Emir Kamenica and Matthew Gentzkow (2010) presented by Johann Caro Burnett and Sabyasachi Das March 4, 2011 Emir Kamenica and Matthew Gentzkow (2010) (presentedbayesian by Johann Persuasion

More information

Some Notes on Costless Signaling Games

Some Notes on Costless Signaling Games Some Notes on Costless Signaling Games John Morgan University of California at Berkeley Preliminaries Our running example is that of a decision maker (DM) consulting a knowledgeable expert for advice about

More information

Disclosure of Endogenous Information

Disclosure of Endogenous Information Disclosure of Endogenous Information Matthew Gentzkow and Emir Kamenica Stanford University and University of Chicago March 2016 Abstract We study the effect of disclosure requirements in environments

More information

Design Patent Damages under Sequential Innovation

Design Patent Damages under Sequential Innovation Design Patent Damages under Sequential Innovation Yongmin Chen and David Sappington University of Colorado and University of Florida February 2016 1 / 32 1. Introduction Patent policy: patent protection

More information

Introduction. 1 University of Pennsylvania, Wharton Finance Department, Steinberg Hall-Dietrich Hall, 3620

Introduction. 1 University of Pennsylvania, Wharton Finance Department, Steinberg Hall-Dietrich Hall, 3620 May 16, 2006 Philip Bond 1 Are cheap talk and hard evidence both needed in the courtroom? Abstract: In a recent paper, Bull and Watson (2004) present a formal model of verifiability in which cheap messages

More information

EC319 Economic Theory and Its Applications, Part II: Lecture 7

EC319 Economic Theory and Its Applications, Part II: Lecture 7 EC319 Economic Theory and Its Applications, Part II: Lecture 7 Leonardo Felli NAB.2.14 27 February 2014 Signalling Games Consider the following Bayesian game: Set of players: N = {N, S, }, Nature N strategy

More information

Persuasion of Heterogenous Audiences and Optimal Media Censorship

Persuasion of Heterogenous Audiences and Optimal Media Censorship Persuasion of Heterogenous Audiences and Optimal Media Censorship Tymofiy Mylovanov joint work with Anton Kolotilin, Ming Li, Andriy Zapechelnyuk October 6, 2017 1 Environment Sender Receiver Receiver

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

Mechanism Design: Implementation. Game Theory Course: Jackson, Leyton-Brown & Shoham

Mechanism Design: Implementation. Game Theory Course: Jackson, Leyton-Brown & Shoham Game Theory Course: Jackson, Leyton-Brown & Shoham Bayesian Game Setting Extend the social choice setting to a new setting where agents can t be relied upon to disclose their preferences honestly Start

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

Communication and Voting with Double-Sided Information

Communication and Voting with Double-Sided Information Communication and Voting with Double-Sided Information Ulrich Doraszelski Hoover Institution Dino Gerardi Yale University Francesco Squintani University of Rochester March 2002 An earlier version of this

More information

Good Lies. May Abstract. Decision makers often face uncertainty about the ability and the integrity of their

Good Lies. May Abstract. Decision makers often face uncertainty about the ability and the integrity of their Good Lies Filippo Pavesi y, Massimo Scotti z May 2017 Abstract Decision makers often face uncertainty about the ability and the integrity of their advisors. If an expert is sufficiently concerned about

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

Perfect Bayesian Equilibrium

Perfect Bayesian Equilibrium Perfect Bayesian Equilibrium For an important class of extensive games, a solution concept is available that is simpler than sequential equilibrium, but with similar properties. In a Bayesian extensive

More information

Communication and Voting With Double-Sided Information

Communication and Voting With Double-Sided Information University of Pennsylvania ScholarlyCommons Business Economics and Public Policy Papers Wharton Faculty Research 8-2003 Communication and Voting With Double-Sided Information Ulrich Doraszelski Dino Gerardi

More information

Bayesian Persuasion Online Appendix

Bayesian Persuasion Online Appendix Bayesian Persuasion Online Appendix Emir Kamenica and Matthew Gentzkow University of Chicago June 2010 1 Persuasion mechanisms In this paper we study a particular game where Sender chooses a signal π whose

More information

Sorting via Screening vs. Signaling

Sorting via Screening vs. Signaling Sorting via Screening vs. Signaling - Static Frame and Experimental Evidence - Werner Güth and Fabian Winter 1. Introduction 2. Static Frame 3. Experimental Design 4. Main Findings 5. Conclusions 1. Introduction

More information

Ex Post Cheap Talk : Value of Information and Value of Signals

Ex Post Cheap Talk : Value of Information and Value of Signals Ex Post Cheap Talk : Value of Information and Value of Signals Liping Tang Carnegie Mellon University, Pittsburgh PA 15213, USA Abstract. Crawford and Sobel s Cheap Talk model [1] describes an information

More information

Accept or Reject? : An Organizational Perspective

Accept or Reject? : An Organizational Perspective Accept or Reject? : An Organizational Perspective Umberto Garfagnini, Marco Ottaviani, and Peter Norman Sørensen Journal article (Post print version) CITE: Accept or Reject? : An Organizational Perspective.

More information

Theory of Auctions. Carlos Hurtado. Jun 23th, Department of Economics University of Illinois at Urbana-Champaign

Theory of Auctions. Carlos Hurtado. Jun 23th, Department of Economics University of Illinois at Urbana-Champaign Theory of Auctions Carlos Hurtado Department of Economics University of Illinois at Urbana-Champaign hrtdmrt2@illinois.edu Jun 23th, 2015 C. Hurtado (UIUC - Economics) Game Theory On the Agenda 1 Formalizing

More information

Supplementary appendix to the paper Hierarchical cheap talk Not for publication

Supplementary appendix to the paper Hierarchical cheap talk Not for publication Supplementary appendix to the paper Hierarchical cheap talk Not for publication Attila Ambrus, Eduardo M. Azevedo, and Yuichiro Kamada December 3, 011 1 Monotonicity of the set of pure-strategy equilibria

More information

Robust Predictions in Games with Incomplete Information

Robust Predictions in Games with Incomplete Information Robust Predictions in Games with Incomplete Information joint with Stephen Morris (Princeton University) November 2010 Payoff Environment in games with incomplete information, the agents are uncertain

More information

Intrinsic and Extrinsic Motivation

Intrinsic and Extrinsic Motivation Intrinsic and Extrinsic Motivation Roland Bénabou Jean Tirole. Review of Economic Studies 2003 Bénabou and Tirole Intrinsic and Extrinsic Motivation 1 / 30 Motivation Should a child be rewarded for passing

More information

Entry under an Information-Gathering Monopoly Alex Barrachina* June Abstract

Entry under an Information-Gathering Monopoly Alex Barrachina* June Abstract Entry under an Information-Gathering onopoly Alex Barrachina* June 2016 Abstract The effects of information-gathering activities on a basic entry model with asymmetric information are analyzed. In the

More information

Evidence Games: Truth and Commitment

Evidence Games: Truth and Commitment Evidence Games: Truth and Commitment Sergiu Hart Ilan Kremer Motty Perry July 17, 2015 Abstract An evidence game is a strategic disclosure game in which an informed agent who has some pieces of verifiable

More information

Static Information Design

Static Information Design Static Information Design Dirk Bergemann and Stephen Morris Frontiers of Economic Theory & Computer Science, Becker-Friedman Institute, August 2016 Mechanism Design and Information Design Basic Mechanism

More information

Opting Out in a War of Attrition. Abstract

Opting Out in a War of Attrition. Abstract Opting Out in a War of Attrition Mercedes Adamuz Department of Business, Instituto Tecnológico Autónomo de México and Department of Economics, Universitat Autònoma de Barcelona Abstract This paper analyzes

More information

Abstract We analyze how communication and voting interact when there is uncertainty about players' preferences. We consider two players who vote on fo

Abstract We analyze how communication and voting interact when there is uncertainty about players' preferences. We consider two players who vote on fo Communication and Voting with Double-Sided Information Λ Ulrich Doraszelski Northwestern University y Dino Gerardi Northwestern University z Francesco Squintani University of Rochester x April 200 Λ An

More information

Leaks, disclosures and internal communication

Leaks, disclosures and internal communication Leaks, disclosures and internal communication Snehal Banerjee and Taejin Kim December 017 Abstract We study how leaks affect a firm s communication decisions and real efficiency. A privately informed manager

More information

Misinformation. March Abstract

Misinformation. March Abstract Misinformation Li, Hao University of British Columbia & University of Toronto Wei Li University of British Columbia & University of California, Riverside March 2010 Abstract We model political campaigns

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

Costly Expertise. Dino Gerardi and Leeat Yariv yz. Current Version: December, 2007

Costly Expertise. Dino Gerardi and Leeat Yariv yz. Current Version: December, 2007 Costly Expertise Dino Gerardi and Leeat Yariv yz Current Version: December, 007 In many environments expertise is costly. Costs can manifest themselves in numerous ways, ranging from the time that is required

More information

Strategic Learning and Information Transmission

Strategic Learning and Information Transmission Strategic Learning and Information Transmission Alexander Frug November 5, 2014 Abstract This paper addresses the problem of information transmission between a biased expert and a decision maker in an

More information

Sender s Small Concern for Credibility and Receiver s Dilemma

Sender s Small Concern for Credibility and Receiver s Dilemma April 2012 Sender s Small Concern for Credibility and Receiver s Dilemma Hanjoon Michael Jung The Institute of Economics, Academia Sinica Abstract We model a dilemma that receivers face when a sender has

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

On Decentralized Incentive Compatible Mechanisms for Partially Informed Environments

On Decentralized Incentive Compatible Mechanisms for Partially Informed Environments On Decentralized Incentive Compatible Mechanisms for Partially Informed Environments by Ahuva Mu alem June 2005 presented by Ariel Kleiner and Neil Mehta Contributions Brings the concept of Nash Implementation

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

Hierarchical Bayesian Persuasion

Hierarchical Bayesian Persuasion Hierarchical Bayesian Persuasion Weijie Zhong May 12, 2015 1 Introduction Information transmission between an informed sender and an uninformed decision maker has been extensively studied and applied in

More information

Endogenous Persuasion with Rational Verification

Endogenous Persuasion with Rational Verification Endogenous Persuasion with Rational Verification Mike FELGENHAUER July 16, 2017 Abstract This paper studies a situation in which a sender tries to persuade a receiver with evidence that is generated via

More information

. Introduction to Game Theory Lecture Note 8: Dynamic Bayesian Games. HUANG Haifeng University of California, Merced

. Introduction to Game Theory Lecture Note 8: Dynamic Bayesian Games. HUANG Haifeng University of California, Merced .. Introduction to Game Theory Lecture Note 8: Dynamic Bayesian Games HUANG Haifeng University of California, Merced Basic terminology Now we study dynamic Bayesian games, or dynamic/extensive games of

More information

Strategic Information Transmission under Reputation Concerns

Strategic Information Transmission under Reputation Concerns Strategic Information Transmission under Reputation Concerns Emilia Oljemark October 7, 03 Abstract This paper analyzes strategic information transmission in a repeated model of communication. The sender

More information

Area I: Contract Theory Question (Econ 206)

Area I: Contract Theory Question (Econ 206) Theory Field Exam Summer 2011 Instructions You must complete two of the four areas (the areas being (I) contract theory, (II) game theory A, (III) game theory B, and (IV) psychology & economics). Be sure

More information

On the Unique D1 Equilibrium in the Stackelberg Model with Asymmetric Information Janssen, M.C.W.; Maasland, E.

On the Unique D1 Equilibrium in the Stackelberg Model with Asymmetric Information Janssen, M.C.W.; Maasland, E. Tilburg University On the Unique D1 Equilibrium in the Stackelberg Model with Asymmetric Information Janssen, M.C.W.; Maasland, E. Publication date: 1997 Link to publication General rights Copyright and

More information

Competition relative to Incentive Functions in Common Agency

Competition relative to Incentive Functions in Common Agency Competition relative to Incentive Functions in Common Agency Seungjin Han May 20, 2011 Abstract In common agency problems, competing principals often incentivize a privately-informed agent s action choice

More information

Benefits from non-competing persuaders

Benefits from non-competing persuaders Benefits from non-competing persuaders Jiemai Wu November 26, 2017 Abstract This paper shows that biased persuaders can provide better information to a decision maker due to cooperative, and not competitive,

More information

Changing One s Mind when the Facts Change: Incentives of Experts and the Design of Reporting Protocols

Changing One s Mind when the Facts Change: Incentives of Experts and the Design of Reporting Protocols Review of Economic Studies (007) 74, 1175 1194 0034-657/07/00411175$0.00 Changing One s Mind when the Facts Change: Incentives of Experts and the Design of Reporting Protocols WEI LI University of California,

More information

Crowd Learning without Herding: A Mechanism Design Approach

Crowd Learning without Herding: A Mechanism Design Approach Crowd Learning without Herding: A Mechanism Design Approach Jacob Glazer Department of Economics University of Warwick and Faculty of Management Tel Aviv University email: glazer@post.tau.ac.il Ilan Kremer

More information

A Model of Gossip. Wei Li. June, Abstract

A Model of Gossip. Wei Li. June, Abstract A Model of Gossip Wei Li June, 2003 Abstract This paper analyzes how the gossip process can be manipulated by biased people and the impact of such manipulation on information transmission. In this model,

More information

Persuasion under Second-Order Uncertainty

Persuasion under Second-Order Uncertainty Persuasion under Second-Order Uncertainty Patrick Hummel Google John Morgan University of California, Berkeley Phillip C. Stocken Dartmouth College April 10, 2017 Abstract We study a general model of persuasion

More information

DEPARTMENT OF ECONOMICS YALE UNIVERSITY P.O. Box New Haven, CT

DEPARTMENT OF ECONOMICS YALE UNIVERSITY P.O. Box New Haven, CT DEPARTMENT OF ECONOMICS YALE UNIVERSITY P.O. Box 208268 New Haven, CT 06520-8268 http://www.econ.yale.edu/ Economics Department Working Paper No. 25 Cowles Foundation Discussion Paper No. 1619 Information

More information

Political Cycles and Stock Returns. Pietro Veronesi

Political Cycles and Stock Returns. Pietro Veronesi Political Cycles and Stock Returns Ľuboš Pástor and Pietro Veronesi University of Chicago, National Bank of Slovakia, NBER, CEPR University of Chicago, NBER, CEPR Average Excess Stock Market Returns 30

More information

On the Informed Principal Model with Common Values

On the Informed Principal Model with Common Values On the Informed Principal Model with Common Values Anastasios Dosis September 23, 2016 Abstract In the informed principal model with common values, I identify as key in the characterisation of equilibrium

More information

Bargaining, Contracts, and Theories of the Firm. Dr. Margaret Meyer Nuffield College

Bargaining, Contracts, and Theories of the Firm. Dr. Margaret Meyer Nuffield College Bargaining, Contracts, and Theories of the Firm Dr. Margaret Meyer Nuffield College 2015 Course Overview 1. Bargaining 2. Hidden information and self-selection Optimal contracting with hidden information

More information

Using Cheap Talk to Polarize or Unify a Group of Decision Makers

Using Cheap Talk to Polarize or Unify a Group of Decision Makers Using Cheap Talk to Polarize or Unify a Group of Decision Makers Daeyoung Jeong October 30, 015 Abstract This paper develops a model of strategic information transmission from an expert with informational

More information

Learning from Others Outcomes

Learning from Others Outcomes Learning from Others Outcomes Alexander Wolitzky MIT BFI, July 21, 2017 Wolitzky (MIT) Learning from Others Outcomes BFI, July 21, 2017 1 / 53 Introduction Scarcity of Cost-Saving Innovation Development

More information

NTU IO (I) : Classnote 03 Meng-Yu Liang March, 2009

NTU IO (I) : Classnote 03 Meng-Yu Liang March, 2009 NTU IO (I) : Classnote 03 Meng-Yu Liang March, 2009 Kohlberg and Mertens (Econometrica 1986) We will use the term (game) tree for the extensive form of a game with perfect recall (i.e., where every player

More information

Cheap Talk with Two Senders and Complementary Information

Cheap Talk with Two Senders and Complementary Information Cheap Talk with Two Senders and Complementary Information Andrew Mcgee and Huanxing Yang Department of Economics, Ohio State University January 009 Abstract This paper studies a two-sender cheap talk model

More information

n Communication and Binary Decisions : Is it Better to Communicate?

n Communication and Binary Decisions : Is it Better to Communicate? Série des Documents de Travail n 2013-50 Communication and Binary Decisions : Is it Better to Communicate? F. LOSS 1 E. MALAVOLTI 2 T. VERGÉ 3 September 2013 Les documents de travail ne reflètent pas la

More information

RECIPROCAL RELATIONSHIPS AND MECHANISM DESIGN

RECIPROCAL RELATIONSHIPS AND MECHANISM DESIGN RECIPROCAL RELATIONSHIPS AND MECHANISM DESIGN GORKEM CELIK AND MICHAEL PETERS A. We study an incomplete information game in which players can coordinate their actions by contracting among themselves. We

More information

Observing Each Other s Observations in the Electronic Mail Game 1

Observing Each Other s Observations in the Electronic Mail Game 1 Observing Each Other s Observations in the Electronic Mail Game 1 Dominik Grafenhofer Max Planck Institute for Research on Collective Goods, Kurt-Schumacher-Str. 10, 53113 Bonn, Germany. Email: grafenhofer@coll.mpg.de.

More information

Supplementary Materials for. Forecast Dispersion in Finite-Player Forecasting Games. March 10, 2017

Supplementary Materials for. Forecast Dispersion in Finite-Player Forecasting Games. March 10, 2017 Supplementary Materials for Forecast Dispersion in Finite-Player Forecasting Games Jin Yeub Kim Myungkyu Shim March 10, 017 Abstract In Online Appendix A, we examine the conditions under which dispersion

More information

This is designed for one 75-minute lecture using Games and Information. October 3, 2006

This is designed for one 75-minute lecture using Games and Information. October 3, 2006 This is designed for one 75-minute lecture using Games and Information. October 3, 2006 1 7 Moral Hazard: Hidden Actions PRINCIPAL-AGENT MODELS The principal (or uninformed player) is the player who has

More information

Crowdsourcing contests

Crowdsourcing contests December 8, 2012 Table of contents 1 Introduction 2 Related Work 3 Model: Basics 4 Model: Participants 5 Homogeneous Effort 6 Extensions Table of Contents 1 Introduction 2 Related Work 3 Model: Basics

More information

Confronting Theory with Experimental Data and vice versa. European University Institute. May-Jun Lectures 7-8: Equilibrium

Confronting Theory with Experimental Data and vice versa. European University Institute. May-Jun Lectures 7-8: Equilibrium Confronting Theory with Experimental Data and vice versa European University Institute May-Jun 2008 Lectures 7-8: Equilibrium Theory cannot provide clear guesses about with equilibrium will occur in games

More information

Cheap Talk With Two-Sided Private Information

Cheap Talk With Two-Sided Private Information Cheap Talk With Two-Sided Private Information Inés Moreno de Barreda London School of Economics and STICERD November 2010 Abstract I investigate the strategic interaction between an informed expert and

More information

Contests for Experimentation

Contests for Experimentation Marina Halac Navin Kartik Qingmin Liu September 2014 Introduction (1) Principal wants to obtain an innovation whose feasibility is uncertain Agents can work on or experiment with innovation Probability

More information

Technical Companion to: Sharing Aggregate Inventory Information with Customers: Strategic Cross-selling and Shortage Reduction

Technical Companion to: Sharing Aggregate Inventory Information with Customers: Strategic Cross-selling and Shortage Reduction Technical Companion to: Sharing Aggregate Inventory Information with Customers: Strategic Cross-selling and Shortage Reduction Ruomeng Cui Kelley School of Business, Indiana University, Bloomington, IN

More information

Higher Order Beliefs in Dynamic Environments

Higher Order Beliefs in Dynamic Environments University of Pennsylvania Department of Economics June 22, 2008 Introduction: Higher Order Beliefs Global Games (Carlsson and Van Damme, 1993): A B A 0, 0 0, θ 2 B θ 2, 0 θ, θ Dominance Regions: A if

More information

Delayed Persuasion. First version: December 2015 This version: August Abstract

Delayed Persuasion. First version: December 2015 This version: August Abstract Delayed Persuasion Jacopo Bizzotto, Jesper Rüdiger and Adrien Vigier First version: December 05 This version: August 06 Abstract We study the effect of the arrival of exogenous news in dynamic games of

More information

Towards a General Theory of Non-Cooperative Computation

Towards a General Theory of Non-Cooperative Computation Towards a General Theory of Non-Cooperative Computation (Extended Abstract) Robert McGrew, Ryan Porter, and Yoav Shoham Stanford University {bmcgrew,rwporter,shoham}@cs.stanford.edu Abstract We generalize

More information

Duopoly and Project Uncertainty

Duopoly and Project Uncertainty Duopoly and Project Uncertainty An analysis of the Bertrand and Cournot duopolies under uncertainty for the buyer Draft Master Thesis Rik Bos Student 345327 June 2016 Erasmus School of Economics Master

More information

A Model of Gossip. Wei Li Massachusetts Institute of Technology. November 14, Abstract

A Model of Gossip. Wei Li Massachusetts Institute of Technology. November 14, Abstract A Model of Gossip Wei Li Massachusetts Institute of Technology November 14, 2002 Abstract This paper analyzes how the gossip process can be manipulated by malicious people and the impact of such manipulation

More information

Economics 209B Behavioral / Experimental Game Theory (Spring 2008) Lecture 3: Equilibrium refinements and selection

Economics 209B Behavioral / Experimental Game Theory (Spring 2008) Lecture 3: Equilibrium refinements and selection Economics 209B Behavioral / Experimental Game Theory (Spring 2008) Lecture 3: Equilibrium refinements and selection Theory cannot provide clear guesses about with equilibrium will occur in games with multiple

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

Information, Bargaining Power and Efficiency: Re-examining the Role of Incomplete Information in Crisis Bargaining.

Information, Bargaining Power and Efficiency: Re-examining the Role of Incomplete Information in Crisis Bargaining. Information, Bargaining Power and Efficiency: Re-examining the Role of Incomplete Information in Crisis Bargaining. Kai Hao Yang 03/13/2017 Abstract In this article, we showed that in general, without

More information

Information and Incentives in A Model of Contest Between Large Groups

Information and Incentives in A Model of Contest Between Large Groups Information and Incentives in A Model of Contest Between Large Groups Eduardo Perez perezedu@stanford.edu Abstract This paper studies a model of social contest between two large groups, in which individual

More information

UC Berkeley Haas School of Business Game Theory (EMBA 296 & EWMBA 211) Summer Social learning and bargaining (axiomatic approach)

UC Berkeley Haas School of Business Game Theory (EMBA 296 & EWMBA 211) Summer Social learning and bargaining (axiomatic approach) UC Berkeley Haas School of Business Game Theory (EMBA 296 & EWMBA 211) Summer 2015 Social learning and bargaining (axiomatic approach) Block 4 Jul 31 and Aug 1, 2015 Auction results Herd behavior and

More information

ONLINE APPENDICES. Paternalism, Libertarianism, and the Nature of Disagreement Uliana Loginova and Petra Persson

ONLINE APPENDICES. Paternalism, Libertarianism, and the Nature of Disagreement Uliana Loginova and Petra Persson ONLINE APPENDICES Paternalism, Libertarianism, and the Nature of Disagreement Uliana Loginova and Petra Persson B Appendix: Omitted Proofs Proof of Proposition 2. Preference disagreement. by a corresponding

More information

Models of Reputation with Bayesian Updating

Models of Reputation with Bayesian Updating Models of Reputation with Bayesian Updating Jia Chen 1 The Tariff Game (Downs and Rocke 1996) 1.1 Basic Setting Two states, A and B, are setting the tariffs for trade. The basic setting of the game resembles

More information

Game Theory. Monika Köppl-Turyna. Winter 2017/2018. Institute for Analytical Economics Vienna University of Economics and Business

Game Theory. Monika Köppl-Turyna. Winter 2017/2018. Institute for Analytical Economics Vienna University of Economics and Business Monika Köppl-Turyna Institute for Analytical Economics Vienna University of Economics and Business Winter 2017/2018 Static Games of Incomplete Information Introduction So far we assumed that payoff functions

More information