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- W4380075644 abstract "This paper develops a framework for estimating Quantal Response Equilibrium models from experimental data using Bayesian techniques. Bayesian techniques offer some advantages over the more commonly-used maximum likelihood approach: (i) more favorable small-sample properties, and (ii) ease of handling unobservable heterogeneity. As Quantal Response Equilibrium is a non-linear model, I also discuss some issues with choosing appropriate priors. Of the twenty-nine models taken to the data, the selected model assumes between-game heterogeneity in choice precision parameter λ, and some dispersion around the Quantal Response Equilibrium. Some implications of this model are discussed." @default.
- W4380075644 created "2023-06-10" @default.
- W4380075644 creator A5079769104 @default.
- W4380075644 date "2023-05-01" @default.
- W4380075644 modified "2023-09-27" @default.
- W4380075644 title "Bayesian inference for Quantal Response Equilibrium in normal-form games" @default.
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- W4380075644 doi "https://doi.org/10.1016/j.geb.2023.05.005" @default.
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