Inferring strategies from observed actions: a nonparametric, binary tree classification approach

DOI10.1016/S0165-1889(02)00119-7zbMath1179.91089MaRDI QIDQ951416

Jim Engle-Warnick

Publication date: 24 October 2008

Published in: Journal of Economic Dynamics \& Control (Search for Journal in Brave)

zbMATH Keywords

resamplingbinary treeclassifierstrategybargainingexperimental economicsnon-parametric

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Auctions, bargaining, bidding and selling, and other market models (91B26) Experimental studies (91A90)

Cites Work

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• Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term
• On players' models of other players: Theory and experimental evidence
• Inferring repeated-game strategies from actions: evidence from trust game experiments
• Are People Bayesian? Uncovering Behavioral Strategies
• Duopoly Strategies Programmed by Experienced Players
• Sample Splitting and Threshold Estimation
• Ultimatum bargaining behavior in Israel, Japan, Slovenia, and the United States: A social utility analysis

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