Hypothesis testing and finite sample properties of generalized method of moments estimators: a Monte Carlo study
Econometric methods based on the first-order conditions of intertemporal optimization models have gained increasing popularity in recent years. To a large extent, this development stems from the celebrated Lucas critique, which argued forcibly that traditional econometric models are not structural with respect to changes in the economic environment caused by policy regime shifts. The generalized method of moments (GMM) estimation procedure developed by Hansen (1982) is a leading example of a large research program in estimating parameters of taste and technology that are arguably invariant to shifts in policy rules. This estimation procedure has been used by many researchers to estimate nonlinear rational expectations models and has a major impact on the practice of macroeconomics.
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- Martin S. Eichenbaum & Lars Peter Hansen & Kenneth J. Singleton, 1986. "A Time Series Analysis of Representative Agent Models of Consumption andLeisure Choice Under Uncertainty," NBER Working Papers 1981, National Bureau of Economic Research, Inc.
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- Ching-Sheng Mao, 1989. "Estimating intertemporal elasticity of substitution: the case of log- linear restrictions," Economic Review, Federal Reserve Bank of Richmond, issue Nov, pages 3-14.
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- Finn E. Kydland & Edward C. Prescott, 1982. "Executable program for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4, Quantitative Macroeconomics & Real Business Cycles.
- Finn E. Kydland & Edward C. Prescott, 1982. "Web interface for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4a, Quantitative Macroeconomics & Real Business Cycles.
- Brock, William A. & Mirman, Leonard J., 1972. "Optimal economic growth and uncertainty: The discounted case," Journal of Economic Theory, Elsevier, vol. 4(3), pages 479-513, June.
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