In this paper, we report a replication of Engel’s (Exp. Econ. 14(4):583–610, <CitationRef CitationID="CR10">2011</CitationRef>) meta-study of dictator game experiments. We find Engel’s meta-study of dictator game experiments to be robust, with one important exception: the coding of the take-option (List in J. Polit. Econ....</citationref>

In this paper, we reproduce Engel’s (2011) meta-study of dictator game experiments using his data, and then replicate it using our own data. We find that Engel’s (2011) meta-study of dictator game experiments is quite robust. We show that meta-analyses of dictator game experiments depend to...

The literature on dictator [D] games seems to demonstrate that some people are quite altruistic (nice), whereas the literature on joy-of-destruction [JoD] games shows that some people may be quite nasty. We study to what extent these behaviors are context dependent: If people are nice or nasty,...

The literature on dictator [D] and joy-of-destruction [JoD] games demonstrates that people can be nice and nasty. We study, by way of an experiment with between-subjects and within-subjects features, to what extent behaviors are context dependent and consistent. We find that, for one-shot D and...

This paper aspires to fill a conspicuous gap in the literature regarding learning in games—the absence of empirical verification of learning rules involving pattern recognition. Weighted fictitious play is extended to detect two-period patterns in opponentsʼ behavior and to comply with the...

Belief models capable of detecting 2- to 5-period patterns in repeated games by matching the current historical context to similar realizations of past play are presented. The models are implemented in a cognitive framework, ACT-R, and vary in how they implement similarity-based...

This paper models the learning process of populations of randomly rematched tabula rasa neural network (NN) agents playing randomly generated 2×2 normal form games of all strategic classes. This approach has greater external validity than the existing models in the literature, each of which is...

Bayesian model averaging is applied to robustly ascertain the determinants of various output volatility measures, including the downside semideviation of growth rates. Financial sophis- tication variables are found to have qualitatively different effects on volatility. The ratio of govern- ment...

This paper addresses how neural networks learn to play one-shot normal form games through experience in an environment of randomly generated game payoffs and randomly selected opponents. This agent based computational approach allows the modeling of learning all strategic types of normal form...

The purpose of this paper is to reexamine the seminal belief elicitation experiment by Nyarko and Schotter (2002) under the prism of pattern recognition. Instead of modeling elicited beliefs by a standard weighted fictitious play model this paper proposes a generalized variant of fictitious...