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Bias-Corrected Common Correlated Effects Pooled Estimation In Homogeneous Dynamic Panels

Author

Listed:
  • Ignace De Vos
  • Gerdie Everaert
Abstract
This paper extends the Common Correlated Effects Pooled (CCEP) estimator designed by Pesaran (2006) to dynamic homogeneous models. For static panels, this estimator is consistent as the number of cross-sections (N) goes to infinity irrespectively of the time series dimension (T). However, it suffers from a large bias in dynamic models when T is fixed (Everaert and De Groote, 2016). We develop a bias-corrected CCEP estimator based on an asymptotic bias expression that is valid for a multi-factor error structure provided that a sufficient number of cross-sectional averages, and lags thereof, are added to the model. We show that the resulting CCEPbc estimator is consistent as N tends to infinity, both for T fixed or T growing large, and derive its limiting distribution. Monte Carlo experiments show that our bias correction performs very well. It is nearly unbiased, even when T and/or N are small, and hence offers a strong improvement over the severely biased CCEP estimator. CCEPbc is also found to be superior to alternative bias correction methods available in the literature in terms of bias, variance and inference.

Suggested Citation

  • Ignace De Vos & Gerdie Everaert, 2016. "Bias-Corrected Common Correlated Effects Pooled Estimation In Homogeneous Dynamic Panels," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/920, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:16/920
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    File URL: http://wps-feb.ugent.be/Papers/wp_16_920.pdf
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Everaert, Gerdie & Jansen, Stijn, 2018. "On the estimation of panel fiscal reaction functions: Heterogeneity or fiscal fatigue?," Economic Modelling, Elsevier, vol. 70(C), pages 87-96.
    2. Jan Ditzen, 2016. "xtdcce: Estimating Dynamic Common Correlated Effects in Stata," SEEC Discussion Papers 1601, Spatial Economics and Econometrics Centre, Heriot Watt University.
    3. Çiçekçi, Cumhur & Gaygısız, Esma, 2023. "Procyclicality of fiscal policy in oil-rich countries: Roles of resource funds and institutional quality," Resources Policy, Elsevier, vol. 85(PB).

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    More about this item

    Keywords

    Dynamic panel data; bias; bias-correction; common correlated effects; unobserved common factors; cross-section dependence; lagged dependent variable;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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