Estimation of (static or dynamic) games under equilibrium multiplicity
Taisuke Otsu,
Martin Pesendorfer,
Yuya Sasaki and
Yuya Takahashi
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
Abstract:
We propose a multiplicity-robust estimation method for static or dynamic games. The method allows for distinct behaviors and strategies across markets by treating market-specific behaviors as correlated latent variables, with their conditional probability measure treated as an infinite-dimensional nuisance parameter. Instead of solving the intermediate infinite-dimensional optimization problem, we consider the equivalent finite-dimensional dual problem. This property allows for a practically feasible characterization of the identified region for the structural parameters. We apply the estimation method to newspaper market previously studied in Gentzkow et al. (American Economic Review 104 (2014), 3073–114) to characterize the identified region of marginal costs.
JEL-codes: J1 (search for similar items in EconPapers)
Pages: 24 pages
Date: 2022-08-01
New Economics Papers: this item is included in nep-gth
References: View references in EconPapers View complete reference list from CitEc
Citations:
Published in International Economic Review, 1, August, 2022, 63(3), pp. 1165 - 1188. ISSN: 0020-6598
Downloads: (external link)
http://eprints.lse.ac.uk/112785/ Open access version. (application/pdf)
Related works:
Journal Article: ESTIMATION OF (STATIC OR DYNAMIC) GAMES UNDER EQUILIBRIUM MULTIPLICITY (2022) 
Working Paper: Estimation of (static or dynamic) games under equilibrium multiplicity (2020) 
Working Paper: Estimation of (static or dynamic) games under equilibrium multiplicity (2020) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:112785
Access Statistics for this paper
More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager ().