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Regression towards the mode

  • Kemp, Gordon C.R.
  • Santos Silva, J.M.C.

We propose a semi-parametric mode regression estimator for the case in which the dependent variable has a continuous conditional density with a well-defined global mode. The estimator is semi-parametric in that the conditional mode is specified as a parametric function, but only mild assumptions are made about the nature of the conditional density of interest. We show that the proposed estimator is consistent and has a tractable asymptotic distribution.

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Article provided by Elsevier in its journal Journal of Econometrics.

Volume (Year): 170 (2012)
Issue (Month): 1 ()
Pages: 92-101

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Handle: RePEc:eee:econom:v:170:y:2012:i:1:p:92-101
Contact details of provider: Web page: http://www.elsevier.com/locate/jeconom

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  1. David M. Cutler & Edward L. Glaeser & Jesse M. Shapiro, 2003. "Why Have Americans Become More Obese?," Harvard Institute of Economic Research Working Papers 1994, Harvard - Institute of Economic Research.
  2. Horowitz, Joel L, 1992. "A Smoothed Maximum Score Estimator for the Binary Response Model," Econometrica, Econometric Society, vol. 60(3), pages 505-31, May.
  3. Martins, Pedro S. & Solon, Gary & Thomas, Jonathan P., 2010. "Measuring What Employers Really Do about Entry Wages over the Business Cycle," IZA Discussion Papers 4757, Institute for the Study of Labor (IZA).
  4. repec:sae:niesru:v:167:y::i:1:p:106-112 is not listed on IDEAS
  5. Ana Rute Cardoso & Pedro Portugal, 2005. "Contractual Wages and the Wage Cushion under Different Bargaining Settings," Journal of Labor Economics, University of Chicago Press, vol. 23(4), pages 875-902, October.
  6. Jonathan R. W. Temple, 1998. "Robustness tests of the augmented Solow model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(4), pages 361-375.
  7. Yingyao Hu & Susanne M. Schennach, 2008. "Instrumental Variable Treatment of Nonclassical Measurement Error Models," Econometrica, Econometric Society, vol. 76(1), pages 195-216, 01.
  8. M'hamed Ezzahrioui & Elias Ould Saïd, 2010. "Some asymptotic results of a non-parametric conditional mode estimator for functional time-series data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 64(2), pages 171-201.
  9. Chou, Shin-Yi & Grossman, Michael & Saffer, Henry, 2004. "An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System," Journal of Health Economics, Elsevier, vol. 23(3), pages 565-587, May.
  10. Lee, Myoung-jae, 1993. "Quadratic mode regression," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 1-19.
  11. Morris, Stephen, 2007. "The impact of obesity on employment," Labour Economics, Elsevier, vol. 14(3), pages 413-433, June.
  12. Bruce E. Hansen, 1994. "Stochastic Equicontinuity for Unbounded Dependent Heterogeneous Arrays," Boston College Working Papers in Economics 295., Boston College Department of Economics.
  13. Chesher, Andrew & Peters, Simon, 1994. "Symmetry, Regression Design, and Sampling Distributions," Econometric Theory, Cambridge University Press, vol. 10(01), pages 116-129, March.
  14. Seo, Myung Hwan & Linton, Oliver, 2007. "A smoothed least squares estimator for threshold regression models," Journal of Econometrics, Elsevier, vol. 141(2), pages 704-735, December.
  15. repec:cup:cbooks:9780521565110 is not listed on IDEAS
  16. Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
  17. Jonathan Temple, 1999. "The New Growth Evidence," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 112-156, March.
  18. Markus Baldauf & J.M.C. Santos Silva, 2009. "On the use of robust regression in econometrics," Economics Discussion Papers 664, University of Essex, Department of Economics.
  19. 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.
  20. Morris, Stephen, 2006. "Body mass index and occupational attainment," Journal of Health Economics, Elsevier, vol. 25(2), pages 347-364, March.
  21. Gordon C.R. Kemp & J.M.C. Santos Silva, 2010. "Regression towards the mode," Economics Discussion Papers 686, University of Essex, Department of Economics.
  22. John Cawley, 2004. "The Impact of Obesity on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
  23. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  24. Lee, Myoung-jae, 1989. "Mode regression," Journal of Econometrics, Elsevier, vol. 42(3), pages 337-349, November.
  25. Tristen Hayfield & Jeffrey S. Racine, . "Nonparametric Econometrics: The np Package," Journal of Statistical Software, American Statistical Association, vol. 27(i05).
  26. Ferraty, Frederic & Quintela-del-Río, Alejandro & Vieu, Philippe, 2012. "Specification Test For Conditional Distribution With Functional Data," Econometric Theory, Cambridge University Press, vol. 28(02), pages 363-386, April.
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