Consistent Moment Selection Procedures for Generalized Method of Moments Estimation
This paper considers a generalized method of moments (GMM) estimation problem in which one has a vector of moment conditions, some of which are correct and some incorrect. The paper introduces several procedures for consistently selecting the correct moment conditions. Application of the results of the paper to instrumental variables estimation problems yields consistent procedures for selecting instrumental variables. The paper specifies moment selection criteria that are GMM analogues of the widely used BIC and AIC model selection criteria. (The latter is not consistent.) The paper also considers downward and upward testing procedures.
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Volume (Year): 67 (1999)
Issue (Month): 3 (May)
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Donald W. K. Andrews, 1999.
"Consistent Moment Selection Procedures for Generalized Method of Moments Estimation,"
Econometric Society, vol. 67(3), pages 543-564, May.
- Donald W.K. Andrews, 1997. "Consistent Moment Selection Procedures for Generalized Method of Moments Estimation," Cowles Foundation Discussion Papers 1146R, Cowles Foundation for Research in Economics, Yale University.
- Donald W.K. Andrews, 1990.
"Generic Uniform Convergence,"
Cowles Foundation Discussion Papers
940, Cowles Foundation for Research in Economics, Yale University.
- Pesaran, M.H., 1992. "A Generalised R2 Criterion for Regression Models Estimated by the Instrumental Variable Method," Cambridge Working Papers in Economics 9220, Faculty of Economics, University of Cambridge.
- White, Halbert, 1982. "Instrumental Variables Regression with Independent Observations," Econometrica, Econometric Society, vol. 50(2), pages 483-99, March.
- Gallant, A. Ronald & Hsieh, David & Tauchen, George, 1997.
"Estimation of stochastic volatility models with diagnostics,"
Journal of Econometrics,
Elsevier, vol. 81(1), pages 159-192, November.
- Gallant, A. Ronald & Hsieh, David & Tauchen, George, 1995. "Estimation of Stochastic Volatility Models with Diagnostics," Working Papers 95-36, Duke University, Department of Economics.
- Nishii, R., 1988. "Maximum likelihood principle and model selection when the true model is unspecified," Journal of Multivariate Analysis, Elsevier, vol. 27(2), pages 392-403, November.
- Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
- Smith, Richard J, 1992. "Non-nested.Tests for Competing Models Estimated by Generalized Method of Moments," Econometrica, Econometric Society, vol. 60(4), pages 973-80, July.
- Pakes, Ariel & Pollard, David, 1989. "Simulation and the Asymptotics of Optimization Estimators," Econometrica, Econometric Society, vol. 57(5), pages 1027-57, September.
- Kohn, Robert, 1983. "Consistent Estimation of Minimal Subset Dimension," Econometrica, Econometric Society, vol. 51(2), pages 367-76, March.
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