Small-Sample Bias in GMM Estimation of Covariance Structures
AbstractThe authors examine the small sample properties of the generalized method of moments estimator applied to models of covariance structures, where it is commonly known as the optimal minimum distance (OMD) estimator. They find that OMD is almost always biased downward in absolute value. The bias arises because sampling errors in the second moments are correlated with sampling errors in the weighting matrix used by OMD. Furthermore, OMD is usually dominated by equally weighted minimum distance (EWMD). The authors also propose an alternative estimator that is unbiased and asymptotically equivalent to OMD. However, the Monte Carlo evidence indicates that it is usually dominated by EWMD.
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Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 14 (1996)
Issue (Month): 3 (July)
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Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main
Other versions of this item:
- Joseph G. Altonji & Lewis M. Segal, 1994. "Small Sample Bias in GMM Estimation of Covariance Structures," NBER Technical Working Papers 0156, National Bureau of Economic Research, Inc.
- Joseph G. Altonji & Lewis M. Segal, 1994. "Small sample bias in GMM estimation of covariance structures," Working Paper Series, Macroeconomic Issues 94-8, Federal Reserve Bank of Chicago.
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- Joseph G. Altonji & Ana Paula Martins & Aloysius Siow, 1987.
"Dynamic Factor Models of Consumption, Hours, and Income,"
NBER Working Papers
2155, National Bureau of Economic Research, Inc.
- Altonji, Joseph G. & Martins, Ana Paula & Siow, Aloysius, 2002. "Dynamic factor models of consumption, hours and income," Research in Economics, Elsevier, vol. 56(1), pages 3-59, June.
- repec:cup:etheor:v:10:y:1994:i:1:p:172-97 is not listed on IDEAS
- Shanken, Jay, 1990. "Intertemporal asset pricing : An Empirical Investigation," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 99-120.
- Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
- Bruce N. Lehmann, 1990. "Residual Risk Revisited," NBER Working Papers 1908, National Bureau of Economic Research, Inc.
- Abowd, John M & Card, David, 1987.
"Intertemporal Labor Supply and Long-term Employment Contracts,"
American Economic Review,
American Economic Association, vol. 77(1), pages 50-68, March.
- John M. Abowd & David Card, 1986. "Intertemporal Labor Supply and Long Term Employment Contracts," NBER Working Papers 1831, National Bureau of Economic Research, Inc.
- Joshua D. Angrist & Alan B. Krueger, 1995. "Split Sample Instrumental Variables," NBER Technical Working Papers 0150, National Bureau of Economic Research, Inc.
- Lehmann, Bruce N., 1990. "Residual risk revisited," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 71-97.
- Koenker, Roger & Machado, José A.F. & Skeels, Christopher L. & Welsh, Alan H., 1994. "Momentary Lapses: Moment Expansions and the Robustness of Minimum Distance Estimation," Econometric Theory, Cambridge University Press, vol. 10(01), pages 172-197, March.
- Arellano, Manuel & Sargan, J D, 1990. "Imhof Approximations to Econometric Estimators," Review of Economic Studies, Wiley Blackwell, vol. 57(4), pages 627-46, October.
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