Two-stage quantile regression when the first stage is based on quantile regression
Abstract
We present the asymptotic properties of double-stage quantile regression estimators with random regressors, where the first stage is based on quantile regressions with the same quantile as in the second stage, which ensures robustness of the estimation procedure. We derive invariance properties with respect to the reformulation of the dependent variable. We propose a consistent estimator of the variance--covariance matrix of the new estimator. Finally, we investigate finite sample properties of this estimator by using Monte Carlo simulations. Copyright Royal Economic Socciety 2004Download Info
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Bibliographic Info
Article provided by Royal Economic Society in its journal The Econometrics Journal.
Volume (Year): 7 (2004)
Issue (Month): 1 (06)
Pages: 218-231
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Related research
Keywords:Other versions of this item:
- Christophe Muller & Tae-Hwan Kim, 2004. "Two-Stage Quantile Regression When The First Stage Is Based On Quantile Regression," Working Papers. Serie AD 2004-03, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
References
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"Two-stage quantile regression when the first stage is based on quantile regression,"
Econometrics Journal,
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Liu, Sezhu & Hite, Diane, 2013. "Measuring the Effect of Green Space on Property Value: An Application of the Hedonic Spatial Quantile Regression," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143045, Southern Agricultural Economics Association.
- Paul Mizen & Tae-Hwan Kim & Alan Thanaset, 2007.
"Evaluating the Taylor Principle Over the Distribution of the Interest Rate: Evidence from the US, UK and Japan,"
Money Macro and Finance (MMF) Research Group Conference 2006
51, Money Macro and Finance Research Group.
- Paul Mizen & Tae-Hwan Kim & Alan Thanaset, . "Evaluating the Taylor Principle Over the Distribution of the Interest Rate: Evidence from the US, UK and Japan," Discussion Papers 07/05, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
- Tae-Hwan Kim & Christophe Muller, 2004.
"Two-stage quantile regression when the first stage is based on quantile regression,"
Econometrics Journal,
Royal Economic Society, vol. 7(1), pages 218-231, 06.
- Christophe Muller & Tae-Hwan Kim, 2004. "Two-Stage Quantile Regression When The First Stage Is Based On Quantile Regression," Working Papers. Serie AD 2004-03, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Lee, Sokbae, 2007.
"Endogeneity in quantile regression models: A control function approach,"
Journal of Econometrics,
Elsevier, vol. 141(2), pages 1131-1158, December.
- Sokbae Lee, 2004. "Endogeneity in Quantile Regression Models: A Control Function Approach," Econometric Society 2004 North American Summer Meetings 521, Econometric Society.
- Sokbae 'Simon' Lee, 2004. "Endogeneity in quantile regression models: a control function approach," CeMMAP working papers CWP08/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Joachim Zietz & Emily Zietz & G. Sirmans, 2008.
"Determinants of House Prices: A Quantile Regression Approach,"
The Journal of Real Estate Finance and Economics,
Springer, vol. 37(4), pages 317-333, November.
- Joachim Zietz & Emily N. Zietz & G. Stacy Sirmans., 2007. "Determinants of House Prices: A Quantile Regression Approach," Working Papers 200706, Middle Tennessee State University, Department of Economics and Finance.
- Tae-Hwan Kim, & Christophe Muller, 2012. "Bias Transmission and Variance Reduction in Two-Stage Quantile Regression," AMSE Working Papers 1221, Aix-Marseille School of Economics, Marseille, France.
- Christophe Muller & Tae-Hwan Kim, 2005. "Two-Stage Huber Estimation," Working Papers. Serie AD 2005-17, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Divine Ikenwilo & Anthony Scott, 2007. "The effects of pay and job satisfaction on the labour supply of hospital consultants," Health Economics, John Wiley & Sons, Ltd., vol. 16(12), pages 1303-1318.
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