The asymptotic global power comparisons of the GMM overidentifying restrictions tests
In this paper, the asymptotic power comparisons of two versions of GMM overidentifying restrictions tests are conducted globally through the concept of approximate slopes. It is found that the GMM overidentifying restrictions test with the consistent mean deviation variance-covariance matrix estimator is more powerful than the test with the conventional non-mean deviation one. The results shed new light on the findings of Chang (2005) and Hall (2000).
Volume (Year): 3 (2007)
Issue (Month): 44 ()
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- Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
- Alastair R. Hall, 2000. "Covariance Matrix Estimation and the Power of the Overidentifying Restrictions Test," Econometrica, Econometric Society, vol. 68(6), pages 1517-1528, November.
- Sheng-Kai Chang, 2005. "The approximate slopes and the power of the GMM overidentifying restrictions test," Applied Economics Letters, Taylor & Francis Journals, vol. 12(13), pages 845-848.
- Geweke, John, 1981. "The Approximate Slopes of Econometric Tests," Econometrica, Econometric Society, vol. 49(6), pages 1427-42, November.
- Hansen, Lars Peter & Singleton, Kenneth J, 1983. "Stochastic Consumption, Risk Aversion, and the Temporal Behavior of Asset Returns," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 249-65, April.
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