Unit root quantile autoregression testing with smooth structural changesLi, H. and Zheng, C. (2018) Unit root quantile autoregression testing with smooth structural changes. Finance Research Letters, 25. pp. 83-89. ISSN 1544-6123 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1016/j.frl.2017.10.008 Abstract/SummaryBy incorporating the flexible Fourier form into quantile autoregression model, this paper proposes three new unit root test statistics, which are robust to both non-Gaussian condition and structural changes. Since their limiting distributions are non-standard, a bootstrap procedure is developed to calculate their critical values. Monte Carlo simulation results show that, while Koenker and Xiao (2004) tests are quite conservative under various kinds of error distributions and structural changes, the newly proposed tests have good size performance except for a little size distortion occasionally. Moreover, our tests have much higher performance especially when the sample size is small.
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