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Simulation-Based Estimation of Models with Lagged Latent Variables

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  • Laroque, Guy
  • Salanie, B

Abstract

We extend here our earlier work (Laroque-Salanie, 1989) and propose a dynamic simulated pseudo-maximum likelihood method to deal with a very general class of dynamic non-linear models, including models with lagged latent variables. We test this method on Monte Carlo-generated data for a canonical disequilibrium model. It appears to provide very satisfactory estimates at little computational cost. However, accurate estimation of the standard errors of the estimates may require some care in non-differentiable models. Copyright 1993 by John Wiley & Sons, Ltd.

Suggested Citation

  • Laroque, Guy & Salanie, B, 1993. "Simulation-Based Estimation of Models with Lagged Latent Variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 119-133, Suppl. De.
    • Handle: RePEc:jae:japmet:v:8:y:1993:i:s:p:s119-33
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