Causal assessment in finite extensive-form games

José Penalva and Michael Ryall

Economics Working Papers from Department of Economics and Business, Universitat Pompeu Fabra

Abstract: Two finite extensive-form games are empirically equivalent when the empirical distribution on action profiles generated by every behavior strategy in one can also be generated by an appropriately chosen behavior strategy in the other. This paper provides a characterization of empirical equivalence. The central idea is to relate a game's information structure to the conditional independencies in the empirical distributions it generates. We present a new analytical device, the influence opportunity diagram of a game, describe how such a diagram is constructed for a given extensive-form game, and demonstrate that it provides a complete summary of the information needed to test empirical equivalence between two games.

Keywords: Causality; structural uncertainty; extensive form games (search for similar items in EconPapers)
JEL-codes: C72 (search for similar items in EconPapers)
Date: 2001-05, Revised 2003-09
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:upf:upfgen:483

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