QR.break: Structural Breaks in Quantile Regression
Methods for detecting structural breaks, determining the
number of breaks, and estimating break locations in linear quantile
regression, using one or multiple quantiles, based on Qu (2008) and
Oka and Qu (2011). Applicable to both time series and repeated
cross-sectional data. The main function is rq.break().
References for detailed theoretical and empirical explanations:
(1) Qu, Z. (2008). Testing for Structural Change in Regression Quantiles.
Journal of Econometrics, 146(1), 170-184
<doi:10.1016/j.jeconom.2008.08.006>
(2) Oka, T., and Qu, Z. (2011). Estimating Structural Changes in
Regression Quantiles. Journal of Econometrics, 162(2), 248-267
<doi:10.1016/j.jeconom.2011.01.005>.
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