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Unbiased CCE estimator for Interactive Fixed Effects panels

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  • Chen, Mingjing
  • Yan, Jingzhou

Abstract

In this paper the primary interest is to propose a three-stage procedure to debias Pesaran (2006)’s Common Correlated Effects (CCE) estimator while keep the efficiency asymptotically unchanged for factor-augmented regressions. If some regularities are satisfied, this procedure also debiases Bai (2009)’s Interactive Fixed Effects (IFE) estimator. We also show the consistency of CCE estimator in insufficient proxy situation.

Suggested Citation

  • Chen, Mingjing & Yan, Jingzhou, 2019. "Unbiased CCE estimator for Interactive Fixed Effects panels," Economics Letters, Elsevier, vol. 175(C), pages 1-4.
    • Handle: RePEc:eee:ecolet:v:175:y:2019:i:c:p:1-4
    DOI: 10.1016/j.econlet.2018.11.029
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    References listed on IDEAS

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    1. Karabiyik, Hande & Reese, Simon & Westerlund, Joakim, 2017. "On the role of the rank condition in CCE estimation of factor-augmented panel regressions," Journal of Econometrics, Elsevier, vol. 197(1), pages 60-64.
    2. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    3. Greenaway-McGrevy, Ryan & Han, Chirok & Sul, Donggyu, 2012. "Asymptotic distribution of factor augmented estimators for panel regression," Journal of Econometrics, Elsevier, vol. 169(1), pages 48-53.
    4. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    5. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
    6. Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 45-90, February.
    7. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    8. repec:hal:journl:peer-00796743 is not listed on IDEAS
    9. Westerlund, Joakim & Urbain, Jean-Pierre, 2015. "Cross-sectional averages versus principal components," Journal of Econometrics, Elsevier, vol. 185(2), pages 372-377.
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    Cited by:

    1. Rafaela Dezidério dos Santos Rocha & Márcio Laurini, 2023. "Factor Sufficiency in Asset Pricing: An Application for the Brazilian Market," IJFS, MDPI, vol. 11(4), pages 1-31, December.
    2. Mingjing Chen, 2021. "Tests for the explanatory power of latent factors," Statistical Papers, Springer, vol. 62(6), pages 2825-2856, December.
    3. Nicholas L. Brown & Peter Schmidt & Jeffrey M. Wooldridge, 2021. "Simple Alternatives to the Common Correlated Effects Model," Papers 2112.01486, arXiv.org.
    4. Chen, Jia & Shin, Yongcheol & Zheng, Chaowen, 2022. "Estimation and inference in heterogeneous spatial panels with a multifactor error structure," Journal of Econometrics, Elsevier, vol. 229(1), pages 55-79.

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    More about this item

    Keywords

    Common Correlated Effects; Interactive Fixed Effects; Factor;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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