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Estimating a Game Theoretic Model

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  • Lise, Wietze

Abstract

Applied game theory generally shows possible game situations, discussing their implications. This paper derives an estimation procedure for non-cooperative games, using cross-section data. During the transformation of the data an attempt is made to pick extreme points, to find the outer borders for the actual game. The estimation procedure is an algorithm that switches between several software packages. In an application a motivated choice can be made for the transformation functions such that the estimated game comes closest to the actual game of the empirical problem under study. To demonstrate the estimation procedure, a situation is studied in which a villager voluntarily chooses a level of participation in forest management. Copyright 2001 by Kluwer Academic Publishers

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  • Lise, Wietze, 2001. "Estimating a Game Theoretic Model," Computational Economics, Springer;Society for Computational Economics, vol. 18(2), pages 141-157, October.
    • Handle: RePEc:kap:compec:v:18:y:2001:i:2:p:141-57
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    Cited by:

    1. Kumar, Pradeep & Kant, Shashi, 2016. "Revealed social preferences and joint forest management outcomes," Forest Policy and Economics, Elsevier, vol. 72(C), pages 37-45.
    2. Soltani, Arezoo & Sankhayan, Prem Lall & Hofstad, Ole, 2016. "Playing forest governance games: State-village conflict in Iran," Forest Policy and Economics, Elsevier, vol. 73(C), pages 251-261.
    3. Lise, Wietze & Hess, Sebastiaan & Purev, Byamba, 2006. "Pastureland degradation and poverty among herders in Mongolia: Data analysis and game estimation," Ecological Economics, Elsevier, vol. 58(2), pages 350-364, June.
    4. Atmis, Erdogan & Dasdemir, Ismet & Lise, Wietze & Yildiran, Omur, 2007. "Factors affecting women's participation in forestry in Turkey," Ecological Economics, Elsevier, vol. 60(4), pages 787-796, February.
    5. Shahi, Chander & Kant, Shashi, 2007. "An evolutionary game-theoretic approach to the strategies of community members under Joint Forest Management regime," Forest Policy and Economics, Elsevier, vol. 9(7), pages 763-775, April.

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