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Predictor relevance and extramarital affairs

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Author Info
QI Li (Department of Economics, Texas A&M University, USA)
Jeff Racine (Department of Economics and Center for Policy Research, Syracuse University, USA)

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Abstract

We revisit Fair's (1978) 'theory of extramarital affairs' using robust nonparametric methods developed for the analysis of categorical data. We find evidence suggesting that the number of years married is not a relevant predictor of the propensity to engage in extramarital affairs having controlled for other factors. This finding runs counter to the prevailing wisdom gleaned from misspecified parametric models. Copyright © 2004 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/jae.777
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File URL: http://qed.econ.queensu.ca:80/jae/2004-v19.4/
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Publisher Info
Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 19 (2004)
Issue (Month): 4 ()
Pages: 533-535
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Handle: RePEc:jae:japmet:v:19:y:2004:i:4:p:533-535

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  1. Fair, Ray C, 1978. "A Theory of Extramarital Affairs," Journal of Political Economy, University of Chicago Press, vol. 86(1), pages 45-61, February. [Downloadable!] (restricted)
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  2. Peter Hall & Jeff Racine & Qi Li, 2004. "Cross-Validation and the Estimation of Conditional Probability Densities," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 1015-1026, December. [Downloadable!] (restricted)
  3. Li, Qi & Racine, Jeff, 2003. "Nonparametric estimation of distributions with categorical and continuous data," Journal of Multivariate Analysis, Elsevier, vol. 86(2), pages 266-292, August. [Downloadable!] (restricted)
  4. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March. [Downloadable!] (restricted)
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This page was last updated on 2009-11-21.

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