Publication Type
Working Paper
Version
publishedVersion
Publication Date
9-2006
Abstract
This paper studies an econometric modeling of a signaling game with two players where one player has one of two types. In particular, we develop an estimation strategy that identifies the payoffs structure and the distribution of types from data of observed actions. We can achieve uniqueness of equilibrium using a refinement, which enables us to identify the parameters of interest. In the game, we consider non-strategic public signals about the types. Because the mixing distribution of these signals is nonparametrically specified, we propose to estimate the model using a sieve conditional MLE. We achieve the consistency and the asymptotic normality of the structural parameters estimates. As an alternative, we allow for the possibility of multiple equilibria, without using an equilibrium selection rule. As a consequence, we adopt a set inference allowing for multiplicity of equilibria.
Keywords
Semiparametric Estimation, Signaling Game, Set Inference, InÖnite Dimensional Parameters, Sieve Simultaneous Conditional MLE
Discipline
Econometrics
Research Areas
Econometrics
First Page
1
Last Page
57
Publisher
SMU Economics and Statistics Working Paper Series, No. 19-2006
City or Country
Singapore
Citation
KIM, Kyoo-il.
Semiparametric Estimation of Signaling Games. (2006). 1-57.
Available at: https://ink.library.smu.edu.sg/soe_research/903
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.