Journal
JOURNAL OF ECONOMETRICS
Volume 164, Issue 1, Pages 142-157Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.jeconom.2011.02.016
Keywords
Quantile regression; Dynamic panel; Fixed effects; Instrumental variables
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This paper studies a quantile regression dynamic panel model with fixed effects. Panel data fixed effects estimators are typically biased in the presence of lagged dependent variables as regressors. To reduce the dynamic bias, we suggest the use of the instrumental variables quantile regression method of Chernozhukov and Hansen (2006) along with lagged regressors as instruments. In addition, we describe how to employ the estimated models for prediction. Monte Carlo simulations show evidence that the instrumental variables approach sharply reduces the dynamic bias, and the empirical levels for prediction intervals are very close to nominal levels. Finally, we illustrate the procedures with an application to forecasting output growth rates for 18 OECD countries. (C) 2011 Elsevier B.V. All rights reserved.
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