Stable Biased Sampling

21 Pages Posted: 22 Sep 2015 Last revised: 1 Nov 2017

Date Written: November 01, 2017

Abstract

This paper analyzes an indirect evolutionary model of sampling biases in probability estimates, which combines the sampling best response dynamics with the replicator dynamics. The arrival rate of revision opportunities in the best response dynamics is high, so that the resulting joint dynamical system is a slow-fast system and we can use Tikhonov's theorem to study its solutions, employing practical asymptotic stability as a stability criterion. For two-strategy population games with a unique Nash equilibrium that is in mixed strategies, we find that the stable sampling bias is generically non-zero and that it is highest when the equilibrium is most asymmetric, yet that the stable sampling bias vanishes in the sample size.

Keywords: Sampling Best Response Dynamics, Sampling Bias, Evolutionary Second-Best, Two-Speed Dynamics, Tikhonov's Theorem, Practical Asymptotic Stability

JEL Classification: C73, D83

Suggested Citation

Häfner, Samuel, Stable Biased Sampling (November 01, 2017). Available at SSRN: https://ssrn.com/abstract=2663278 or http://dx.doi.org/10.2139/ssrn.2663278

Samuel Häfner (Contact Author)

University of St. Gallen ( email )

Varnbuelstr. 14
Saint Gallen, St. Gallen CH-9000
Switzerland

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