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Propriétés à distance finie d'estimateurs du modèle dynamique en données de panel à effets fixes lorsque N
[Finite sample properties of dynamic panel data estimators with fixed effects when N]

Author

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  • Kuikeu, Oscar
Abstract
Using Monte Carlo experiments, we assessed the finite sample properties of dynamic panel data estimators with fixed effects when

Suggested Citation

  • Kuikeu, Oscar, 2012. "Propriétés à distance finie d'estimateurs du modèle dynamique en données de panel à effets fixes lorsque N [Finite sample properties of dynamic panel data estimators with fixed effects when N]," MPRA Paper 39444, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:39444
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    File URL: https://mpra.ub.uni-muenchen.de/39474/1/MPRA_paper_39474.pdf
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    References listed on IDEAS

    as
    1. Nerlove, Marc, 1971. "Further Evidence on the Estimation of Dynamic Economic Relations from a Time Series of Cross Sections," Econometrica, Econometric Society, vol. 39(2), pages 359-382, March.
    2. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    3. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    4. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    5. Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 1127-1170.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Panel data; Monte Carlo experiments; finite sample properties;
    All these keywords.

    JEL classification:

    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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