Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jeconom.2011.01.005
Title: Estimating structural changes in regression quantiles
Authors: Oka, T. 
Qu, Z.
Keywords: Change-point
Conditional distribution
Policy evaluation
Quantile regression
Structural breaks
Issue Date: Jun-2011
Source: Oka, T.,Qu, Z. (2011-06). Estimating structural changes in regression quantiles. Journal of Econometrics 162 (2) : 248-267. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jeconom.2011.01.005
Abstract: This paper considers the estimation of multiple structural changes occurring at unknown dates in one or multiple conditional quantile functions. The analysis covers time series models as well as models with repeated cross-sections. We estimate the break dates and other parameters jointly by minimizing the check function over all permissible break dates. The limiting distribution of the estimator is derived and the coverage property of the resulting confidence interval is assessed via simulations. A procedure to determine the number of breaks is also discussed. Empirical applications to the quarterly US real GDP growth rate and the underage drunk driving data suggest that the method can deliver more informative results than the analysis of the conditional mean function alone. © 2011 Elsevier B.V. All rights reserved.
Source Title: Journal of Econometrics
URI: http://scholarbank.nus.edu.sg/handle/10635/52131
ISSN: 03044076
DOI: 10.1016/j.jeconom.2011.01.005
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