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Identification And Estimation Of Exchange Rate Models With Unobservable Fundamentals

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  • Marcus J. Chambers
  • J. Roderick McCrorie

Abstract

This article is concerned with issues of model specification, identification, and estimation in exchange rate models with unobservable fundamentals. We show that the continuous-time model proposed by Gardeazabal, Regúlez, and Vázquez ("International Economic Review" 38 (1997), 389-404) is not identified and that this property is characteristic of the discrete-time representation of the model that they used as the basis for estimation by simulated method of moments. We briefly discuss the implications of this result in the context of the asset-market model of exchange rates with unobservable fundamentals. Copyright 2006 by the Economics Department Of The University Of Pennsylvania And Osaka University Institute Of Social And Economic Research Association.

Suggested Citation

  • Marcus J. Chambers & J. Roderick McCrorie, 2006. "Identification And Estimation Of Exchange Rate Models With Unobservable Fundamentals," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 573-582, May.
    • Handle: RePEc:ier:iecrev:v:47:y:2006:i:2:p:573-582
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    Cited by:

    1. McCrorie, J. Roderick & Chambers, Marcus J., 2006. "Granger causality and the sampling of economic processes," Journal of Econometrics, Elsevier, vol. 132(2), pages 311-336, June.
    2. Chambers, MJ & McCrorie, JR & Thornton, MA, 2017. "Continuous Time Modelling Based on an Exact Discrete Time Representation," Economics Discussion Papers 20497, University of Essex, Department of Economics.
    3. Jewitt, Giles & Roderick McCrorie, J., 2005. "Computing estimates of continuous time macroeconometric models on the basis of discrete data," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 397-416, April.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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