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A Comparison of Two-Stage Estimators of Censored Regression Models


  • Zuehlke, Thomas W
  • Zeman, Allen R


This paper presents a Monte Carlo comparison of the small-sample performance of subsample ordinary least squares, the Heckman-Lee two-stage estimator, and the robust estimator of Lee. Each estimator is considered under bivariate normal, t, and chi-square error structures. The estimates indicate that the Heckman-Lee and Lee estimators do not provide an unequivocal mean square error improvement upon subsample ordinary least squares in small samples. While effectively controlling for selectivity bias, the two-stage estimators suffer a substantial loss of small-sample precision relative to subsample ordinary least squares. Copyright 1991 by MIT Press.

Suggested Citation

  • Zuehlke, Thomas W & Zeman, Allen R, 1991. "A Comparison of Two-Stage Estimators of Censored Regression Models," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 185-188, February.
  • Handle: RePEc:tpr:restat:v:73:y:1991:i:1:p:185-88

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    References listed on IDEAS

    1. Feldstein, Martin & Poterba, James, 1984. "Unemployment insurance and reservation wages," Journal of Public Economics, Elsevier, vol. 23(1-2), pages 141-167.
    2. Elazar Berkovitch, 1985. "Reputation Effect in Equilibrium Search and Bargaining- A Stigma Theory of Unemployment Duration," Discussion Papers 668, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    3. J. J. McCall, 1970. "Economics of Information and Job Search," The Quarterly Journal of Economics, Oxford University Press, vol. 84(1), pages 113-126.
    4. Ehrenberg, Ronald G & Oaxaca, Ronald L, 1976. "Unemployment Insurance, Duration of Unemployment, and Subsequent Wage Gain," American Economic Review, American Economic Association, vol. 66(5), pages 754-766, December.
    5. Solon, Gary R, 1985. "Work Incentive Effects of Taxing Unemployment Benefits," Econometrica, Econometric Society, vol. 53(2), pages 295-306, March.
    6. Janice Fanning Madden, 1988. "The Distribution of Economic Losses among Displaced Workers: Measurement Methods Matter," Journal of Human Resources, University of Wisconsin Press, vol. 23(1), pages 93-107.
    7. Moffitt, Robert, 1985. "Unemployment insurance and the distribution of unemployment spells," Journal of Econometrics, Elsevier, vol. 28(1), pages 85-101, April.
    8. Louis Jacobson, 1984. "A Tale of Employment Decline in Two Cities: How Bad Was the Worst of Times?," ILR Review, Cornell University, ILR School, vol. 37(4), pages 557-569, July.
    9. Whipple, David, 1973. "A Generalized Theory of Job Search," Journal of Political Economy, University of Chicago Press, vol. 81(5), pages 1170-1188, Sept.-Oct.
    10. S. C. Salop, 1973. "Systematic Job Search and Unemployment," Review of Economic Studies, Oxford University Press, vol. 40(2), pages 191-201.
    11. John T. Warner & J. Carl Poindexter & Robert M. Fearn, 1980. "Employer-Employee Interaction and the Duration of Unemployment," The Quarterly Journal of Economics, Oxford University Press, vol. 94(2), pages 211-233.
    12. William F. Barnes, 1975. "Job Search Models, the Duration of Unemployment, and the Asking Wage: Some Empirical Evidence," Journal of Human Resources, University of Wisconsin Press, vol. 10(2), pages 230240.
    13. Mortensen, Dale T, 1970. "Job Search, the Duration of Unemployment, and the Phillips Curve," American Economic Review, American Economic Association, vol. 60(5), pages 847-862, December.
    14. John M. Barron & Wesley Mellow, 1979. "Search Effort in the Labor Market," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 389-404.
    15. Lancaster, Tony, 1979. "Econometric Methods for the Duration of Unemployment," Econometrica, Econometric Society, vol. 47(4), pages 939-956, July.
    16. Jerry Hausman & Aaron Han, 1986. "Semiparametric Estimation of Duration and Competing Risk Models," Working papers 450, Massachusetts Institute of Technology (MIT), Department of Economics.
    17. Gronau, Reuben, 1971. "Information and Frictional Unemployment," American Economic Review, American Economic Association, vol. 61(3), pages 290-301, June.
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    Cited by:

    1. Campbell, Randall C. & Nagel, Gregory L., 2016. "Private information and limitations of Heckman's estimator in banking and corporate finance research," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 186-195.
    2. Rochelle Belkar & Denzil G. Fiebig & Marion Haas & Rosalie Viney, 2006. "Why worry about awareness in choice problems? Econometric analysis of screening for cervical cancer," Health Economics, John Wiley & Sons, Ltd., vol. 15(1), pages 33-47.
    3. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    4. Lee C. Adkins, 2008. "Small Sample Performance of Instrumental Variables Probit Estimators: A Monte Carlo Investigation," Economics Working Paper Series 0807, Oklahoma State University, Department of Economics and Legal Studies in Business.
    5. Yang Li & Walter J. Mayer, 2007. "Impact of corrections for dynamic selection bias on forecasts of retention behavior," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(8), pages 571-582.
    6. Lee Adkins & R. Carter Hill, 2007. "Bootstrap Inferences in Heteroscedastic Sample Selection Models: A Monte Carlo Investigation," Economics Working Paper Series 0710, Oklahoma State University, Department of Economics and Legal Studies in Business.
    7. Ulrich Rendtel, 1992. "On the Choice of a Selection-Model When Estimating Regressionmodels with Selectivity," Discussion Papers of DIW Berlin 53, DIW Berlin, German Institute for Economic Research.
    8. Belkar, R. & Fiebig, D.G., 2008. "A Monte Carlo comparison of estimators for a bivariate probit model with selection," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 250-256.
    9. Mikhail Zhelonkin & Marc G. Genton & Elvezio Ronchetti, 2016. "Robust inference in sample selection models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(4), pages 805-827, September.
    10. Hasebe, Takuya & Vijverberg, Wim P., 2012. "A Flexible Sample Selection Model: A GTL-Copula Approach," IZA Discussion Papers 7003, Institute for the Study of Labor (IZA).

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