Testing for parameter stability in quantile regression models
Liangjun Su and
Statistics & Probability Letters, 2008, vol. 78, issue 16, 2768-2775
We propose a test for structural change of conditional distribution in dynamic regression models. The test is constructed based on time series regression quantile estimates and complements conventional parameter instability tests in least-square type regression models. Asymptotic distribution for our test under the null hypothesis is derived.
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