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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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    Cited by:

    1. Francisco J. Ruge-Murcia, 2000. "Uncovering financial markets' beliefs about inflation targets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 483-512.
    2. Nicholas-James Clavet & Jean-Yves Duclos, 2012. "Le financement des services de garde des enfants : effets sur le travail, le revenu des familles, et les finances publiques," CIRANO Working Papers 2012s-33, CIRANO.
    3. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2007. "Estimating Macroeconomic Models: A Likelihood Approach," Review of Economic Studies, Oxford University Press, vol. 74(4), pages 1059-1087.
    4. Michael K Pitt & Neil Shephard, "undated". "Filtering via simulation: auxiliary particle filters," Economics Papers 1997-W13, Economics Group, Nuffield College, University of Oxford.
    5. repec:spr:annopr:v:262:y:2018:i:2:d:10.1007_s10479-016-2143-2 is not listed on IDEAS
    6. Michael Creel, 2008. "Estimation of Dynamic Latent Variable Models Using Simulated Nonparametric Moments," UFAE and IAE Working Papers 725.08, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 02 Jun 2008.
    7. Luc Bauwens & Michel Lubrano, 2007. "Bayesian Inference in Dynamic Disequilibrium Models: An Application to the Polish Credit Market," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 469-486.
    8. Laurence Broze & Olivier Scaillet & Jean-Michel Zakoïan & Claude Jessua, 1996. "Estimation de modèles de la structure par terme des taux d'intérêt," Revue Économique, Programme National Persée, vol. 47(3), pages 511-519.
    9. Jacquinot, Pascal & Mihoubi, F., 1996. "Dynamique et hétérogénéité de l’emploi en déséquilibre," L'Actualité Economique, Société Canadienne de Science Economique, vol. 72(2), pages 113-148, juin.
    10. Chihwa Kao & Lung-fei Lee & Mark M. Pitt, 2001. "Simulated Maximum Likelihood Estimation of the Linear Expenditure System with Binding Non-Negativity Constraints," Annals of Economics and Finance, Society for AEF, vol. 2(1), pages 215-235, May.
    11. Edwige Burdeau, 2015. "Assessing dynamics of credit supply and demand for French SMEs, an estimation based on the Bank Lending Survey," IFC Bulletins chapters,in: Bank for International Settlements (ed.), Indicators to support monetary and financial stability analysis: data sources and statistical methodologies, volume 39 Bank for International Settlements.
    12. Lee, Lung-Fei, 1997. "Simulation estimation of dynamic switching regression and dynamic disequilibrium models -- some Monte Carlo results," Journal of Econometrics, Elsevier, vol. 78(2), pages 179-184, June.

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