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A Monte Carlo Comparison of Various Semiparametric Type-3 Tobit Estimators

  • Insik Min

    ()

    (Department of Economics, Texas A&M University)

  • Sheng jang Sheu

    (Department of Economics, University of Western Ontario)

  • Zijun Wang

    (Private Enterprise Research Center, Texas A&M University)

Registered author(s):

    This paper compares recently developed semiparametric estimators of Type-3 Tobit model using Monte Carlo simulations. In particular, we examine the finite sample performance of the recently proposed method by Li and Wooldridge and compare it to some alternative semiparametric estimators. Simulation results indicated that Li and Wooldridge (2002) estimator under the independence restriction compares well relative to other alternative estimators, especially when the sample size is small or the error distribution has a thick tail.

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    Article provided by Society for AEF in its journal Annals of Economics and Finance.

    Volume (Year): 4 (2003)
    Issue (Month): 1 (May)
    Pages: 125-136

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    Handle: RePEc:cuf:journl:y:2003:v:4:i:1:p:125-136
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    1. Van de Ven, Wynand P. M. M. & Van Praag, Bernard M. S., 1981. "The demand for deductibles in private health insurance : A probit model with sample selection," Journal of Econometrics, Elsevier, vol. 17(2), pages 229-252, November.
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    3. Gerfin, Michael, 1996. "Parametric and Semi-parametric Estimation of the Binary Response Model of Labor Market Participation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(3), pages 321-39, May-June.
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    5. Li, Qi & Wooldridge, Jeffrey M., 2002. "Semiparametric Estimation Of Partially Linear Models For Dependent Data With Generated Regressors," Econometric Theory, Cambridge University Press, vol. 18(03), pages 625-645, June.
    6. Bo E. Honore & Ekaterini Kyriazidou & Christopher Udry, . "Estimation of Type 3 Tobit Models using Symmetric Trimming and Pairwise Comparisons," Home Pages _001, Princeton University, Department of Economics.
    7. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
    8. Hill, M Anne, 1983. "Female Labor Force Participation in Developing and Developed Countries-Consideration of the Informal Sector," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 459-68, August.
    9. Lee, Lung-fei, 1994. "Semiparametric two-stage estimation of sample selection models subject to Tobit-type selection rules," Journal of Econometrics, Elsevier, vol. 61(2), pages 305-344, April.
    10. Barnett,William A. & Powell,James & Tauchen,George E. (ed.), 1991. "Nonparametric and Semiparametric Methods in Econometrics and Statistics," Cambridge Books, Cambridge University Press, number 9780521370905.
    11. Christofides, Louis N, et al, 2003. "Recent Two-Stage Sample Selection Procedures with an Application to the Gender Wage Gap," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(3), pages 396-405, July.
    12. McDonald, James B. & Xu, Yexiao J., 1996. "A comparison of semi-parametric and partially adaptive estimators of the censored regression model with possibly skewed and leptokurtic error distributions," Economics Letters, Elsevier, vol. 51(2), pages 153-159, May.
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    14. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
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