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The exact covariance matrix of dynamic models with latent variables

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  • Lyhagen, Johan

Abstract

A dynamic time series LInear Structural RELation (LISREL) model is proposed for the analysis of stationary multivariate time series. The model is suitable not only for macro models, but also for panel data models. The implied covariance matrix is derived and it may be used in exact maximum likelihood estimation.

Suggested Citation

  • Lyhagen, Johan, 2005. "The exact covariance matrix of dynamic models with latent variables," Statistics & Probability Letters, Elsevier, vol. 75(2), pages 133-139, November.
    • Handle: RePEc:eee:stapro:v:75:y:2005:i:2:p:133-139
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    References listed on IDEAS

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    1. Peter Molenaar & Jan Gooijer & Bernhard Schmitz, 1992. "Dynamic factor analysis of nonstationary multivariate time series," Psychometrika, Springer;The Psychometric Society, vol. 57(3), pages 333-349, September.
    2. van der Leeuw, Jan, 1994. "The covariance matrix of ARMA errors in closed form," Journal of Econometrics, Elsevier, vol. 63(2), pages 397-405, August.
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    Keywords

    Dynamic LISREL Covariance matrix;

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