A Robust Test of Exogeneity Based on Quantile Regressions
Tae-Hwan Kim () and
Christophe Muller ()
Working Papers from HAL
In this paper, we propose a robust test of exogeneity. The test statistics is constructed from quantile regression estimators, which are robust to heavy tails of errors. We derive the asymptotic distribution of the test statistic under the null hypothesis of exogeneity at a given quantile. Then, the finite sample properties of the test are investigated through Monte Carlo simulations that exhibit not only good size and power properties, but also good robustness to outliers.
Keywords: Hausman test; regression quantile; endogeneity; two-stage estimation (search for similar items in EconPapers)
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Working Paper: A Robust Test of Exogeneity Based on Quantile Regressions (2017)
Working Paper: A robust test of exogeneity based on quantile regressions (2017)
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