On recombinant estimation for experimental data
AbstractThe 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
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Springer in its journal Experimental Economics.
Volume (Year): 11 (2008)
Issue (Month): 1 (March)
Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=102888
Recombinant estimation; U-statistics;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Yan Chen & Tayfun S�nmez, 2002. "Improving Efficiency of On-Campus Housing: An Experimental Study," American Economic Review, American Economic Association, vol. 92(5), pages 1669-1686, December.
- Mitzkewitz, Michael & Nagel, Rosemarie, 1993. "Experimental Results on Ultimatum Games with Incomplete Information," International Journal of Game Theory, Springer, vol. 22(2), pages 171-98.
- Yan Chen & Tayfun Sönmez, 2004.
"School Choice: An Experimental Study,"
Boston College Working Papers in Economics
622, Boston College Department of Economics.
- repec:cup:cbooks:9780521496032 is not listed on IDEAS
- repec:feb:framed:0052 is not listed on IDEAS
- David Lucking-Reiley & Charles H. Mullin, 2000.
"Recombinant Estimation for Normal-Form Games, with Applications to Auctions and Bargaining,"
Vanderbilt University Department of Economics Working Papers
0014, Vanderbilt University Department of Economics.
- 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.
- David Lucking-Reiley & Charles H. Mullin, 2000. "Recombinant Estimation for Normal-Form Games, with Applications to Auctions and Bargaining," Econometric Society World Congress 2000 Contributed Papers 0077, Econometric Society.
- Tibor Besedes & Cary Deck & Sarah Quintanar & Sudipta Sarangi & Mikhael Shor, 2012.
"Free-Riding and Performance in Collaborative and Non-Collaborative Groups,"
2012-21, University of Connecticut, Department of Economics.
- 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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F. Baum).
If references are entirely missing, you can add them using this form.