Abstract
The article outlines the method of simulated moments as a technique for estimating the parameters of dynamic, stochastic general equilibrium macroeconomic models. A detailed description is provided for implementation of the method, and its statistical properties are discussed. A brief comparison with other common estimation methods (calibration, generalized method of moments and maximum likelihood) is presented.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Bibliography
Andrews, D. 1991. Heteroskedasticity and autocorrelation consistent covariance matrix estimation. Econometrica 59: 817–858.
DeJong, D., B. Ingram, and C. Whiteman. 2000. A Bayesian approach to dynamic macroeconomics. Journal of Econometrics 98: 203–223.
Duffie, D., and K. Singleton. 1993. Simulated moments estimation of Markov models of asset prices. Econometrica 61: 929–952.
Hansen, L. 1982. Large sample properties of generalized method of moments estimators. Econometrica 50: 1029–1054.
Lee, B., and B. Ingram. 1991. Simulation estimation of time-series models. Journal of Econometrics 47: 197–205.
Newey, W., and K. West. 1987. A simple, positive definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica 55: 703–708.
Ruge-Murcia, F. 2003. Methods to estimate dynamic stochastic general equilibrium models, Working paper No. 17-2003. Montréal: CIREQ, University of Montreal.
Zhou, H. 2001. Finite sample properties of EMM, GMM, QMLE, and MLE for a square-root interest rate diffusion model. Journal of Computational Finance 5: 89–122.
Author information
Authors and Affiliations
Editor information
Copyright information
© 2018 Macmillan Publishers Ltd.
About this entry
Cite this entry
Ingram, B.F. (2018). Simulation Estimators in Macroeconometrics. In: The New Palgrave Dictionary of Economics. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-349-95189-5_2738
Download citation
DOI: https://doi.org/10.1057/978-1-349-95189-5_2738
Published:
Publisher Name: Palgrave Macmillan, London
Print ISBN: 978-1-349-95188-8
Online ISBN: 978-1-349-95189-5
eBook Packages: Economics and FinanceReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences