×

Improving consistent moment selection procedures for generalized method of moments estimation. (English) Zbl 1255.62088

Summary: This paper proposes consistent moment selection procedures for generalized method of moments estimation based on the J test of over-identifying restrictions [L.P. Hansen, Econometrica 50, 1029–1054 (1982; Zbl 0502.62098)] and on the Eichenbaum, Hansen and Singleton test of the validity of a subset of moment conditions [M.S. Eichenbaum, L.P. Hansen and K.J. Singleton, Q. J. Econ. 103, 51–78 (1988; Zbl 1254.91343)].

MSC:

62G05 Nonparametric estimation
62G10 Nonparametric hypothesis testing

References:

[1] Andrews, D., Consistent moment selection procedures for generalized method of moments estimation, Econometrica, 67, 3, 543-564 (1999) · Zbl 1056.62505
[2] Arellano, M.; Bond, S., Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations, Review of Economic Studies, 58, 277-297 (1991) · Zbl 0719.62116
[3] Chatelain, J. B.; Ehrmann, M.; Generale, A.; Martínez-Pagés, J.; Vermeulen, P.; Worms, A., Monetary policy transmission in the Euro area — evidence from 10 micro data on banks and firms, Journal of the European Economic Association, 1, 3, 731-742 (2003)
[4] Eichenbaum, M. S.; Hansen, L. P.; Singleton, K. J., A time series analysis of representative agents models of consumption and leisure choice under uncertainty, Quarterly Journal of Economics, 103, 51-78 (1988) · Zbl 1254.91343
[5] Hall, A. R., Generalized Method of Moments (2005), Oxford University Press · Zbl 1076.62118
[6] Hansen, L. P., Large sample properties of generalized method of moments estimators, Econometrica, 50, 1029-1054 (1982) · Zbl 0502.62098
[7] Pötscher, B. M., Order estimation in ARMA—models by Lagrangian Multiplier Tests, Annals of Statistics, 11, 872-885 (1983) · Zbl 0521.62072
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.