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Randomization Tests in Econometrics

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  • Kennedy, Peter E

Abstract

Numerous shuffling of data produce a distribution of test statistic values that can be used to assess the degree to which the test statistic value produced by the actual data is unusual. Because this controversial randomization testing methodology, made practical by the computer revolution, has begun to appear in applied econometric studies, econometricians should become familiar with its mechanics, rationale, and interpretation, all of which are quite different from the status quo. This paper exposits randomization tests in an econometric context, discusses their advantages, and alerts practitioners to pitfalls.

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Bibliographic Info

Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 13 (1995)
Issue (Month): 1 (January)
Pages: 85-94

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Handle: RePEc:bes:jnlbes:v:13:y:1995:i:1:p:85-94

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Cited by:
  1. Donohue, John J & Wolfers, Justin, 2006. "Uses and Abuses of Empirical Evidence in the Death Penalty Debate," CEPR Discussion Papers 5493, C.E.P.R. Discussion Papers.
  2. Byoung Jung & Myoungshic Jhun & Seuck Song, 2007. "A new random permutation test in ANOVA models," Statistical Papers, Springer, vol. 48(1), pages 47-62, January.
  3. Kopczuk, Wojciech & Pop-Eleches, Cristian, 2007. "Electronic filing, tax preparers and participation in the Earned Income Tax Credit," Journal of Public Economics, Elsevier, vol. 91(7-8), pages 1351-1367, August.
  4. Achim Zeileis & Torsten Hothorn, 2013. "A toolbox of permutation tests for structural change," Statistical Papers, Springer, vol. 54(4), pages 931-954, November.
  5. Mittelhammer, Ron C. & Judge, George G., 2005. "Combining estimators to improve structural model estimation and inference under quadratic loss," Journal of Econometrics, Elsevier, vol. 128(1), pages 1-29, September.
  6. Richard Luger, 2004. "Exact Permutation Tests for Non-nested Non-linear Regression Models," Emory Economics 0419, Department of Economics, Emory University (Atlanta).
  7. Sooncheol Sohn & Byoung Jung & Myoungshic Jhun, 2012. "Permutation tests using least distance estimator in the multivariate regression model," Computational Statistics, Springer, vol. 27(2), pages 191-201, June.
  8. Jeong-Joon Lee, 2005. "Persistent wage differential and its implications on the Balassa-Samuelson hypothesis," Applied Economics Letters, Taylor & Francis Journals, vol. 12(10), pages 643-648.
  9. Robert Moir, 1998. "A Monte Carlo Analysis of the Fisher Randomization Technique: Reviving Randomization for Experimental Economists," Experimental Economics, Springer, vol. 1(1), pages 87-100, June.
  10. Ker, Alan P. & McGowan, Pat, 2000. "Weather-Based Adverse Selection And The U.S. Crop Insurance Program: The Private Insurance Company Perspective," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(02), December.
  11. Ronit Nirel & Malka Gorfine, 2003. "Nonparametric Analysis of Longitudinal Binary Data: An Application to the Intergroup Prisoner's Dilemma Game," Experimental Economics, Springer, vol. 6(3), pages 327-341, November.

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