Robust exogeneity tests in the presence of outliers
Exogeneity testing is studied in the presence of outliers in response variables. Robust tests based on least absolute deviations (LAD) and M estimators are proposed and illustrated with an application to Mroz (1987) data. Our simulation results show that the proposed robust tests outperform the traditional Hausman test for exogeneity in terms of empirical power in the presence of outliers in response variables. Nevertheless, unlike the conventional Hausman test, which is undersized, the empirical size of the LAD-based exogeneity test exceeds its nominal size.
Volume (Year): 3 (2006)
Issue (Month): 29 ()
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- Peracchi, Franco, 1991.
Cambridge University Press, vol. 7(01), pages 69-84, March.
- Franco Peracchi, 1987. "Robust M-Tests," UCLA Economics Working Papers 459, UCLA Department of Economics.
- Peracchi, Franco, 1990. "Robust M-Tests," Working Papers 90-25, C.V. Starr Center for Applied Economics, New York University.
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- Li, Jing, 2006. "The block bootstrap test of Hausman's exogeneity in the presence of serial correlation," Economics Letters, Elsevier, vol. 91(1), pages 76-82, April.
- Mroz, Thomas A, 1987. "The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions," Econometrica, Econometric Society, vol. 55(4), pages 765-799, July.
- Thomas Mroz, "undated". "The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions," University of Chicago - Population Research Center 84-8, Chicago - Population Research Center.
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