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Maximum Score Type Estimators

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Author Info
Marcin Owczarczuk () (Department of Applied Econometrics, 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://cejeme.org/publishedarticles/2009-36-31-633740817647770335-9168.pdf
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Publisher Info
Article provided by Polish Academy of Sciences, The Lodz Branch in its journal Central European Journal of Economic Modelling and Econometrics.

Volume (Year): 1 (2009)
Issue (Month): 1 (March)
Pages: 7-34
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:psc:journl:v:1:y:2009:i:1:p:7-34

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Web page: http://cejeme.org/

For technical questions regarding this item, or to correct its listing, contact: (Marcin Owczarczuk).

Related research
Keywords: maximum score estimation; 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

References listed on IDEAS
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  1. 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)
  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. [Downloadable!] (restricted)
  3. 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. [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. 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)
  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. [Downloadable!] (restricted)
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This page was last updated on 2009-11-25.


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