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On recombinant estimation for experimental data

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  • Jason Abrevaya

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Abstract

The recombinant estimation technique of Mullin and Reiley (2006) can be a useful tool for analyzing data from normal-form games. The recombinant estimator falls within a general category of statistics known as U-statistics. This classification has both theoretical and practical implications: (1) the recombinant estimator is optimal (minimum variance) among unbiased estimators, (2) there is a computationally simple method for computing its asymptotic standard error, and (3) the estimation technique can be extended to multiple outcomes and to other types of inferential procedures commonly used for experimental data, such as the sign test. Simulation evidence suggests that researchers should use the asymptotic standard error rather than the standard error of Mullin and Reiley (2006) since the latter exhibits a downward bias. Copyright Economic Science Association 2008

Suggested Citation

  • Jason Abrevaya, 2008. "On recombinant estimation for experimental data," Experimental Economics, Springer;Economic Science Association, vol. 11(1), pages 25-52, March.
  • Handle: RePEc:kap:expeco:v:11:y:2008:i:1:p:25-52
    DOI: 10.1007/s10683-006-9155-8
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    File URL: http://hdl.handle.net/10.1007/s10683-006-9155-8
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    References listed on IDEAS

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    1. Mullin, Charles H. & Reiley, David H., 2006. "Recombinant estimation for normal-form games, with applications to auctions and bargaining," Games and Economic Behavior, Elsevier, vol. 54(1), pages 159-182, January.
    2. Mitzkewitz, Michael & Nagel, Rosemarie, 1993. "Experimental Results on Ultimatum Games with Incomplete Information," International Journal of Game Theory, Springer;Game Theory Society, vol. 22(2), pages 171-198.
    3. David Lucking-Reiley & John A. List, 2000. "Demand Reduction in Multiunit Auctions: Evidence from a Sportscard Field Experiment," American Economic Review, American Economic Association, vol. 90(4), pages 961-972, September.
    4. Chen, Yan & Sonmez, Tayfun, 2006. "School choice: an experimental study," Journal of Economic Theory, Elsevier, vol. 127(1), pages 202-231, March.
    5. Yan Chen & Tayfun Sönmez, 2002. "Improving Efficiency of On-Campus Housing: An Experimental Study," American Economic Review, American Economic Association, vol. 92(5), pages 1669-1686, December.
    6. Mehta, Judith & Starmer, Chris & Sugden, Robert, 1994. "The Nature of Salience: An Experimental Investigation of Pure Coordination Games," American Economic Review, American Economic Association, vol. 84(3), pages 658-673, June.
    7. repec:feb:framed:0052 is not listed on IDEAS
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    Cited by:

    1. Besedes, Tibor & Deck, Cary & Quintanar, Sarah & Sarangi, Sudipta & Shor, Mikhael, 2011. "Free-Riding and Performance in Collaborative and Non-Collaborative Groups," MPRA Paper 33948, University Library of Munich, Germany.
    2. Calsamiglia, Caterina & Haeringer, Guillaume & Klijn, Flip, 2011. "A comment on "School choice: An experimental study" [J. Econ. Theory 127 (1) (2006) 202-231]," Journal of Economic Theory, Elsevier, vol. 146(1), pages 392-396, January.

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    Keywords

    Recombinant estimation; U-statistics;

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