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Some uses of simulation in econometrics

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  • Pagan, Adrian

Abstract

Simulation methods are now widely used in econometrics. The range of uses covers both the estimation of parameters in and the use of models. In this paper we discuss how simulation methods can be used to investigate some issues that have proven extremely difficult to handle analytically. Specifically, we consider how to measure the business cycle characteristics associated with macroeconomic models and how to estimate the parameters of a popular latent variables model.

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  • Pagan, Adrian, 1999. "Some uses of simulation in econometrics," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(4), pages 341-349.
    • Handle: RePEc:eee:matcom:v:48:y:1999:i:4:p:341-349
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    References listed on IDEAS

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    3. Pagan, Adrian, 1997. "Policy, Theory, and the Cycle," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 13(3), pages 19-33, Autumn.
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    Cited by:

    1. Castro, Tomás del Barrio & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2013. "The Impact Of Persistent Cycles On Zero Frequency Unit Root Tests," Econometric Theory, Cambridge University Press, vol. 29(6), pages 1289-1313, December.
    2. Adrian Pagan, 2001. "The Getting of Macroeconomic Wisdom," International Economic Association Series, in: Jacques Drèze (ed.), Advances in Macroeconomic Theory, chapter 11, pages 219-235, Palgrave Macmillan.
    3. Gallant, A. Ronald & Tauchen, George, 2002. "Simulated Score Methods and Indirect Inference for Continuous-time Models," Working Papers 02-09, Duke University, Department of Economics.
    4. Louis J. Maccini & Adrian Pagan, 2006. "Inventories, Fluctuations and Business Cycles. Working paper #4," NCER Working Paper Series 4, National Centre for Econometric Research.

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