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Information Design: A unified Perspective Information Design: A unified Perspective

Information Design: A unified Perspective - PowerPoint Presentation

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Information Design: A unified Perspective - PPT Presentation

Prior information Bergmann and Morris 2017 L10 Information design Sender faces many Receives who play a game among each other A basic game I players receivers Finite action space ID: 713134

decision rule prior obedience rule decision obedience prior information set bce bergmann morris space optimal state signal signals firm

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Slide1

Information Design: A unified Perspective Prior information

Bergmann and Morris 2017

L10Slide2

Information design

Sender faces many Receives who ``play a game ’’ among each other

A basic game I players (receivers) Finite action space State space: , prior Preferences: ``Prior’’ information structureFinite set of signals , Signal distribution S: supplements prior information with messages (communication rule)Slide3

Information design

Ex post preferences of S

In Bayesian game a BNE is sufficiently summarized by decision ruleLetInformation design problemThe problem seems extremely hardSlide4

Bayes Correlated equilibrium (BCE)

Decision rule. Is BCE if

Let be a collection of BCE decision rules in game Revelation principleImplication: problem equivalent toTwo steps procedure (linear programming) - find set - find best on Slide5

Prior beliefs

Binary state space , prior

One receiver ( interpreted AS firm) Binary action space R payoff default actionDesigner S observes , commits to message structureS maximizes probabilities of investmentSlide6

Decision rule SPACE

Decision rule

2 dimensional manifoldS preferences over MRSSlide7

Asymmetric prior

Prior distribution:

Given , ex ante distribution over states and actionsBCE is given by two linear obedience conditions Slide8

Obedience constraints

obedience condition

obedience conditionIdentical SlopeSlide9

Set of BCE equilibria

For

For Comparative static with respect to extreme prior beliefsUninformative beliefs Slide10

Optimal decision rule

For

For Optimal choicesExtreme points of a polytopeImplementation?Slide11

Player with prior information

Prior

R receives signal (message, type) according to distributionSignals split prior into 2 “interim-posteriors”Experiment is more informative than. if Slide12

Problem of Omniscient S

Omniscient designer observes (and conditions on) signal

Two independent problems with different ``interim posteriors’’Slide13

Optimal decision rule Omniscient S

Optimal decision rule

ImplementationSlide14

INTEGRATION OVER SIGNALS

Unconditional probabilitiesSlide15

BCE Comparative staticsSlide16

General lessons

Example

More informative initial signal makes obedience constraints tighterBCE set shrinking with higher qSingle agent information structure is an experiment (Blackwell sense)Partial (more informative) orders on set of signals Blackwell ``sufficiency’’ (statistical) order Blackwell ``more valuable’’ order Bergmann and Morris ``more incentive constrained’’ orderEquivalence of the thee orders (Bergmann Morris 2013)Bergmann Morris 2016 generalizes this to games with many playersDefine ``sufficiency’’ (statistical) order on information structuresShow equivalence with ``more constrained order’’ Slide17

Next lecture

Strategic complementarities among many players

Set of BCEOptimal choiceInstrumental preferences over correlations Private vs public signalsElicitation of private information (non-omniscient designer)Slide18

Two Firms (Many Players)

Objective: sum of investment probabilities for both firms

Designer has no intrinsic preferences for correlationIf no strategic interactions then optimization firm by firmFirm 1 payoff with strategic complementaritiesStrategic complements (substitutes) if ( )Slide19

Decision rule

Decision rule (6 numbers +2 )

Wlog symmetric decision rules (4 numbers, 2 for each state) is the probability that firm invests regardless of the other firm RestrictionSlide20

Obedience (BCE) constraints

Obedience of ``invest’’ recommendation

With obedience condition for “do not invest” is redundantSlide21

BCE set

Set of all BCE symmetric equilibria

(4 dimensional manifold)Given by the following inequalities:Its projections to space is given by The BCE set is monotonic in degree of complementarityOptimal points?Slide22

Optimal decision rule (for small )

Observation: Correlations relax obedience constraint

State GState BOptimal rule Public signalsSlide23

Optimal decision rule (for small )

Observation: Correlations. tightens obedience constraint

State GAssume State BOptimal rule Private signalSlide24

General lessons

No intrinsic preference over correlation (sum of probabilities)

Correlation: instrument to relax obedience constraint Strategic complements (substitutes) positive (negative) correlationPublic vs private signalsPapers that use this this mechanismOne sided complementarity Madhavet Perego Taneva 2016Two sided complementarity Bergmann and Morris 2016Strategic substitutes (Cournot) Bergmann and Morris 2013Intrinsic motives (objective: at least one firm invests)Ely 2017 (private signals) Bergmann Heumann and Morris 2016Arieli and Babicenko 2016