Statistical Inference in Evolutionary Dynamics

Ryoji Sawa

No e170, Working Papers from Tokyo Center for Economic Research

Abstract: We introduce evolutionary dynamics for two-action games where agents with diverse preferences use statistical inference to guide their behavior. We show that the dynamic converges to a Bayesian sampling equilibrium with statistical inference (SESI) and the set of Bayesian SESIs is globally asymptotically stable. We discuss the global convergence to a unique Bayesian SESI in anti-coordination games, a welfare-improving tax scheme, equilibrium selection in coordination games, an application to the diffusion of behavior on networks, and the extension of heterogeneity to the inference procedures.

Pages: 37 pages
Date: 2022-03
New Economics Papers: this item is included in nep-evo and nep-gth
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.tcer.or.jp/wp/pdf/e170.pdf (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:tcr:wpaper:e170

Access Statistics for this paper

More papers in Working Papers from Tokyo Center for Economic Research Contact information at EDIRC.
Bibliographic data for series maintained by ().