Journal of University of Science and Technology of China ›› 2014, Vol. 44 ›› Issue (2): 101-105.DOI: 10.3969/j.issn.0253-2778.2014.02.004

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Variable selection and shrinkage quantile estimation for censored regression model

YE Renyu   

  1. 1.School of Mathematics and Computation Science, Anqing Teachers College, Anqing 246133, China; 2.Department of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei 230026, China
  • Received:2012-07-09 Revised:2012-12-10 Online:2014-02-28 Published:2014-02-28

Abstract: Censored regression (“Tobit”) model is a kind of limited dependent variable model widely used in econometrics research. Based on the quantiles estimation and the smoothly clipped absolute deviation (SCAD), a method for variable selection and shrinking estimation was presented, which selects the non-zero coefficients corresponding to the significant variables and simultaneously gives a consistent estimate of the parameters. In addition, the variable selection possesses the oracle properties. Finally, numerical studies were conducted to evaluate the performance of the proposed method for censored regression model.

Key words: censored regression model, quantiles estimation, SCAD, variable selection, oracle property