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Introduction Since the seminal book by Von Neumann and Morgenstern (1944), Theory of Games and Economic Behavior , game theory has progressively permeated all fields of economics (industrial organization, labor, financial and international economics) and extended its influence on the other social sciences (politics, sociology, and law). It has become an essential tool for studying interpersonal relationships and provides a rigorous and useful methodology for modeling and analyzing strategic decisions. Game theory methodology has also incited profound and far-reaching changes in the way markets, organizations, and institutions are viewed; it has contributed to better understanding the rationale of many private and public institutions, such as contracts, franchising, insurance, certification agencies, and standardization committees. This chapter is aimed at revealing the contribution of game theory to the analysis of institutions. The goal herein is not to propose an exhaustive course in game theory (for good introductions to game theory, see Gibbons 1992 or Osborne and Rubinstein 1995), but rather to focus on the main results and lessons that can be drawn from game theory with respect to institutions. Institutions may basically be characterized in two ways. They can, first, be defined as the set of fundamental political, social, and legal ground rules that establish the bases for production, exchange, and distribution (Davis and North 1971). From this perspective, institutions appear as the rules of the game imposed on all economic actors.
[SHS.ECO]Humanities and Social Sciences/Economics and Finance, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, new institutional economics, Game theory
[SHS.ECO]Humanities and Social Sciences/Economics and Finance, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, new institutional economics, Game theory
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 19 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |