Estimation of discrete games with correlated types

In this paper, I focus on the identification and estimation of static games of incomplete information with correlated types. Instead of making the independence assumption on players' types in order to simplify the equilibrium set, I propose an approach that allows me to identify subsets of the...

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Veröffentlicht in:The econometrics journal 2014-10, Vol.17 (3), p.241-270
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description In this paper, I focus on the identification and estimation of static games of incomplete information with correlated types. Instead of making the independence assumption on players' types in order to simplify the equilibrium set, I propose an approach that allows me to identify subsets of the space of covariates (i.e. publicly observed state variables in payoff functions), for which there exists a unique pure strategy Bayesian Nash equilibrium (BNE) and the equilibrium strategies are monotonie functions. Moreover, I characterize the monotonic pure strategy BNE in a simple manner and propose an estimation procedure that uses observations only from the subset of the covariate space where the game admits a unique monotonie pure strategy BNE. Furthermore, I show that the proposed estimator is √n-consistent and has a limiting normal distribution.
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source Jstor Complete Legacy; Oxford University Press Journals All Titles (1996-Current); Wiley Online Library Journals Frontfile Complete; Business Source Complete
subjects Analysis
Bayesian method
Correlation coefficients
Distribution
Econometrics
Economic models
Equilibrium
Estimating techniques
Estimation
Estimators
Game theory
Gaussian distributions
Imperfect information
Incomplete information
Increasing functions
Mathematical monotonicity
Maximum likelihood estimation
Monotonic pure strategy Bayesian Nash equilibrium
Nash equilibrium
Studies
Working papers
title Estimation of discrete games with correlated types
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