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Testing static game theory with dynamic experiments: a case study of public goods

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Author Info

  • Anabela Botelho

    ()
    (NIMA, Universidade do Minho)

  • Glenn W. Harrison

    ()
    (University of Central Florida)

  • Lígia Pinto

    ()
    (NIMA, Universidade do Minho)

  • Elisabet E. Rutstrom

    ()
    (University of Central Florida)

Abstract

Game theory provides predictions of behavior in many one-shot games. On the other hand, most experimenters usually play repeated games with subjects, to provide experience. To avoid subjects rationally employing strategies that are appropriate for the repeated game, experimenters typically employ a "random strangers" design in which subjects are randomly paired with others in the session. There is some chance that subjects will meet in multiple rounds, but it is claimed that this chance is so small that subjects will behave as if they are in a one-shot environment. We present evidence from public goods experiments that this claim is not always true.

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Bibliographic Info

Paper provided by Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho in its series NIMA Working Papers with number 29.

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Length: 25 pages
Date of creation: Nov 2005
Date of revision:
Handle: RePEc:nim:nimawp:29/2005

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Keywords: Game theory; experiments; public goods;

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References

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  1. Drew Fudenberg & Jean Tirole, 1991. "Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061414, December.
  2. Burlando, Roberto & Hey, John D., 1997. "Do Anglo-Saxons free-ride more?," Journal of Public Economics, Elsevier, vol. 64(1), pages 41-60, April.
  3. Andreoni, James & Croson, Rachel, 2008. "Partners versus Strangers: Random Rematching in Public Goods Experiments," Handbook of Experimental Economics Results, Elsevier.
  4. repec:feb:artefa:0090 is not listed on IDEAS
  5. Isaac, R Mark & Walker, James M, 1988. "Group Size Effects in Public Goods Provision: The Voluntary Contributions Mechanism," The Quarterly Journal of Economics, MIT Press, vol. 103(1), pages 179-99, February.
  6. Brandts, Jordi & Schram, Arthur, 2001. "Cooperation and noise in public goods experiments: applying the contribution function approach," Journal of Public Economics, Elsevier, vol. 79(2), pages 399-427, February.
  7. Simon Gachter & Ernst Fehr, 2000. "Cooperation and Punishment in Public Goods Experiments," American Economic Review, American Economic Association, vol. 90(4), pages 980-994, September.
  8. Jim Engle-Warnick & Robert L. Slonim, 2001. "Inferring Repeated Game Strategies From Actions: Evidence From Trust Game Experiments," Economics Series Working Papers 2001-W13, University of Oxford, Department of Economics.
  9. Andreoni, James, 1988. "Why free ride? : Strategies and learning in public goods experiments," Journal of Public Economics, Elsevier, vol. 37(3), pages 291-304, December.
  10. Allen McDowell, 2003. "From the help desk: hurdle models," Stata Journal, StataCorp LP, vol. 3(2), pages 178-184, June.
  11. Weimann, Joachim, 1994. "Individual behaviour in a free riding experiment," Journal of Public Economics, Elsevier, vol. 54(2), pages 185-200, June.
  12. Croson, Rachel T. A., 1996. "Partners and strangers revisited," Economics Letters, Elsevier, vol. 53(1), pages 25-32, October.
  13. Leslie E. Papke & Jeffrey M. Wooldridge, 1993. "Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates," NBER Technical Working Papers 0147, National Bureau of Economic Research, Inc.
  14. Goeree, Jacob K. & Holt, Charles A. & Laury, Susan K., 2002. "Private costs and public benefits: unraveling the effects of altruism and noisy behavior," Journal of Public Economics, Elsevier, vol. 83(2), pages 255-276, February.
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