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Estimating Dynamic Random Effects Models From Panel Data Covering Short Time Periods

In: Econometrics, Statistics And Computational Approaches In Food And Health Sciences

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  • ALOK BHARGAVA
  • J. D. SARGAN

Abstract

This paper advocates the use of simultaneous equations estimators (especially LIML) to estimate dynamic random effects models from panel data. The methods are found to perform quite satisfactorily in Monte Carlo experiments. The LIML procedures are also extended to the case where some of the regressors are correlated with the effects and a theorem on identification is proved. Finally, the Michigan Panel is used for some illustrations.

Suggested Citation

  • Alok Bhargava & J. D. Sargan, 2006. "Estimating Dynamic Random Effects Models From Panel Data Covering Short Time Periods," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 1, pages 3-27, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812773319_0001
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    Keywords

    Econometrics; Nutrition; Health; Child Development; Psychology; Behavioral Nutrition; Demography; Anthropology; Economic Development; Agricultural Economics; Environmental Sciences; Epidemiology; Nonlinear Optimization;
    All these keywords.

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • Z18 - Other Special Topics - - Cultural Economics - - - Public Policy

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