Joel M. Guttman
Bar-Ilan University
50 Papers
427 Citations
Joel M. Guttman is an academic researcher from Bar-Ilan University. The author has contributed to research in topics: Public good & Collective action. The author has an hindex of 18, co-authored 50 publications. Previous affiliations of Joel M. Guttman include Hebrew University of Jerusalem & University of Chicago.
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Papers
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Understanding Collective Action: Matching Behavior
TL;DR: In this article, the authors develop an approach to understand voluntary collective action, where each actor individually finds it optimal to match other actors' contributions, and this matching behavior leads to a Pareto optimal outcome from the viewpoint of the group as a whole.
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A Non-Cournot Model of Voluntary Collective Action
TL;DR: In this article, the interaction of selfish, rational actors in the provision of a public good is analyzed, in an attempt to explain recent experimental findings as well as real-world cases of voluntary collective action.
87
Matching behavior and collective action: Some experimental evidence
TL;DR: In this article, a new approach to explain voluntary collective action, emphasizing strategic interactions of actors in their contributions to the provision of a public good, is tested experimentally, and the results support this approach, and tend to reject the conventional, Cournot theory of public goods.
67
Assortative matching, adverse selection, and group lending
TL;DR: This article showed that the positive assortative matching result does not necessarily hold if earlier models are extended to incorporate dynamic incentives, and they also showed that it is possible to solve an adverse selection problem that would otherwise undermine the effectiveness of such lending programs.
58
Self-enforcing reciprocity norms and intergenerational transfers: theory and evidence
TL;DR: In this article, a model of the emergence of cooperative social norms in a society composed exclusively of rational agents is presented, which is supported by evidence from an international micro-data set on family behavior.
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