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Maximum score type estimators

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Author Info
Marcin Owczarczuk () (Warsaw School of Economics)
Abstract

This paper presents maximum score type estimators for linear, binomial, tobit and truncated regression models. These estimators estimate the normalized vector of slopes and do not provide the estimator of intercept, although it may appear in the model. Strong consistency is proved. In addition, in the case of truncated and tobit regression models, maximum score estimators allow restriction of the sample in order to make ordinary least squares method consistent.

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File URL: http://www.sgh.waw.pl/instytuty/zes/wp/aewp07-08.pdf
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Publisher Info
Paper provided by Department of Applied Econometrics, Warsaw School of Economics in its series Working Papers with number 28.

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Length: 21 pages
Date of creation: 01 Aug 2008
Date of revision:
Handle: RePEc:wse:wpaper:28

Contact details of provider:
Postal: 02-554 Warszawa, Al. Niepodległosci 164
Web page: http://www.sgh.waw.pl/instytuty/zes
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For technical questions regarding this item, or to correct its listing, contact: (Marcin Owczarczuk).

Related research
Keywords: maximum score estimation; linear regression; tobit; truncated; binomial; semiparametric;

Find related papers by JEL classification:
C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models
C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models
C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. J. Horowitz, . "Bootstrap Critical Values For Tests Based On The Smoothed Maximum Score Estimator," Sonderforschungsbereich 373 1996-44, Humboldt Universitaet Berlin.
    Other versions:
  2. Greene, William H, 1981. "On the Asymptotic Bias of the Ordinary Least Squares Estimator of the Tobit Model," Econometrica, Econometric Society, vol. 49(2), pages 505-13, March. [Downloadable!] (restricted)
  3. 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. [Downloadable!] (restricted)
  4. 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. [Downloadable!] (restricted)
  5. Horowitz, Joel L, 1992. "A Smoothed Maximum Score Estimator for the Binary Response Model," Econometrica, Econometric Society, vol. 60(3), pages 505-31, May. [Downloadable!] (restricted)
  6. Jason Abrevaya & Jian Huang, 2005. "On the Bootstrap of the Maximum Score Estimator," Econometrica, Econometric Society, vol. 73(4), pages 1175-1204, 07. [Downloadable!] (restricted)
  7. Moon, Hyungsik Roger, 2004. "Maximum score estimation of a nonstationary binary choice model," Journal of Econometrics, Elsevier, vol. 122(2), pages 385-403, October. [Downloadable!] (restricted)
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