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Improving the Effectiveness of Maximum Score Estimators for Binary Regression Models

Author

Listed:
  • Marcin Owczarczuk

    (Warsaw School of Economics)

Abstract

Maximum score estimation is a class of semiparametric methods for the coefficients of regression models. Estimates are obtained by the maximization of the special function, called the score. In case of binary regression models it is the fraction of correctly classified observations. The aim of this article is to propose a modification to the score function. The modification allows to obtain smaller variances of estimators than the standard maximum score method without impacting other properties like consistency. The study consists of extensive Monte Carlo experiments.

Suggested Citation

  • Marcin Owczarczuk, 2015. "Improving the Effectiveness of Maximum Score Estimators for Binary Regression Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(4), pages 205-217, December.
    • Handle: RePEc:psc:journl:v:7:y:2015:i:4:p:205-217
    as

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    References listed on IDEAS

    as
    1. Marcin Owczarczuk, 2009. "Maximum Score Type Estimators," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(1), pages 7-34, March.
    2. Manski, Charles F., 1985. "Semiparametric analysis of discrete response : Asymptotic properties of the maximum score estimator," Journal of Econometrics, Elsevier, vol. 27(3), pages 313-333, March.
    3. Horowitz, Joel L, 1992. "A Smoothed Maximum Score Estimator for the Binary Response Model," Econometrica, Econometric Society, vol. 60(3), pages 505-531, May.
    4. Horowitz, Joel L., 2002. "Bootstrap critical values for tests based on the smoothed maximum score estimator," Journal of Econometrics, Elsevier, vol. 111(2), pages 141-167, December.
    5. Manski, Charles F., 1975. "Maximum score estimation of the stochastic utility model of choice," Journal of Econometrics, Elsevier, vol. 3(3), pages 205-228, August.
    6. Moon, Hyungsik Roger, 2004. "Maximum score estimation of a nonstationary binary choice model," Journal of Econometrics, Elsevier, vol. 122(2), pages 385-403, October.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    maximum score estimation; Monte Carlo experiments; effectiveness;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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