Large Aggregate Games with Heterogeneous Players
Ricardo Serrano-Padial
No 2021-2, School of Economics Working Paper Series from LeBow College of Business, Drexel University
Abstract:
We study large games played by heterogeneous agents whose payoffs depend on the aggregate action and provide novel equilibrium selection and comparative statics results. Regarding equilibrium selection, we establish the equivalence between potential maximization and the global games selection in supermodular games, and characterize the uniquely selected equilibrium as the strategy profile that maximizes the ex-ante expected payoffs of a player with marginal beliefs. To obtain our equivalence result we show that (i) payoffs in an aggregative potential game must be quasilinear and (ii) beliefs in the global game must satisfy a generalized Laplacian property linking (weighted) average beliefs to the uniform distribution. We present comparative statics results that rely on average rather than pointwise conditions on payoffs and use them to illustrate how heterogeneity affects equilibrium levels of the aggregate action.
Keywords: aggregative games; potential games; global games; comparative statics; noise-independent selection; Laplacian beliefs (search for similar items in EconPapers)
JEL-codes: C72 D82 D83 D84 (search for similar items in EconPapers)
Pages: 50 pages
Date: 2021-01-05, Revised 2021-12-06
New Economics Papers: this item is included in nep-gth and nep-mic
References: Add references at CitEc
Citations:
Downloads: (external link)
https://drive.google.com/file/d/1KzY063G2lE3NkW1Qq ... Qs3/view?usp=sharing Full text (application/pdf)
Related works:
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:ris:drxlwp:2021_002
Access Statistics for this paper
More papers in School of Economics Working Paper Series from LeBow College of Business, Drexel University Contact information at EDIRC.
Bibliographic data for series maintained by Richard C. Barnett ().