An encompassing test for non-nested quantile regression models
AbstractWe propose an encompassing test for non-nested linear quantile regression models and show that it has an asymptotic [chi]2 distribution. It is also shown that the proposed test is a regression rank score test in a comprehensive model under conditional homogeneity. Our simulation results indicate that the proposed test performs very well in finite samples.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 107 (2010)
Issue (Month): 2 (May)
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Web page: http://www.elsevier.com/locate/ecolet
Encompassing test Non-nested model Quantile regression Rank score test;
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