A Note on Implementing Box-Cox Quantile Regression
AbstractThe Box-Cox quantile regression model using the two stage method introduced by Chamberlain (1994) and Buchinsky (1995) provides an attractive extension of linear quantile regression techniques. However, a major numerical problem exists when implementing this method which has not been addressed so far in the literature. We suggest a simple solution modifying the estimator slightly. This modification is easy to implement. The modified estimator is still [square root] n-consistent and its asymptotic distribution can easily be derived. A simulation study confirms that the modified estimator works well. --
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Bibliographic InfoPaper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 04-61.
Date of creation: 2004
Date of revision:
Box-Cox quantile regression; iterative estimator;
Other versions of this item:
- Wilke, Ralf A. & Fitzenberger, Bernd & Zhang, Xuan, 2005. "A Note on Implementing Box-Cox Quantile Regression," ZEW Discussion Papers 04-61 [rev.], ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
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