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Bias Reduction by Recursive Mean Adjustment in Dynamic Panel Data Models

Author

Listed:
  • Chi-Young Choi

    (University of New Hampshire)

  • Nelson C. Mark

    (University of Notre Dame)

  • Donggyu Sul

    (University of Auckland)

Abstract

Accurate estimation of the dominant root of a stationary but persistent time series are required to determine the speed at which economic time series, such as real exchange rates or interest rates, adjust towards their mean values. In practice, accuracy is hampered by downward small- sample bias. Recursive mean adjustment has been found to be a useful bias reduction strategy in the regression context. In this paper, we study recursive mean adjustment in dynamic panel data models. When there exists cross-sectional heterogeneity in the dominant root, the recursive mean adjusted SUR estimator is appropriate. When homogeneity restrictions can be imposed, a pooled recursive mean adjusted GLS estimator with fixed e¤ects is the desired estimator. Application of these techniques to a small panel of five eurocurrency rates finds that these interest rates are unit root nonstationary as the bias-corrected autoregressive coefficient exceeds 1.

Suggested Citation

  • Chi-Young Choi & Nelson C. Mark & Donggyu Sul, 2004. "Bias Reduction by Recursive Mean Adjustment in Dynamic Panel Data Models," Econometrics 0409005, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpem:0409005
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    References listed on IDEAS

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    Cited by:

    1. Choi, Chi-Young & Mark, Nelson C. & Sul, Donggyu, 2006. "Unbiased Estimation of the Half-Life to PPP Convergence in Panel Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(4), pages 921-938, June.
    2. Hiranya K. Nath & Jayanta Sarkar, 2009. "Unbiased Estimation of the Half-Life to Price Index Convergence among U.S. Cities," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(5), pages 1041-1046, August.
    3. Hegwood, Natalie D. & Nath, Hiranya K., 2013. "Structural breaks and relative price convergence among US cities," Journal of Macroeconomics, Elsevier, vol. 36(C), pages 150-160.
    4. Choi, Chi-Young & Matsubara, Kiyoshi, 2007. "Heterogeneity in the persistence of relative prices: What do the Japanese cities tell us?," Journal of the Japanese and International Economies, Elsevier, vol. 21(2), pages 260-286, June.
    5. Donggyu Sul, 2005. "New Panel Unit Root Tests under Cross Section Dependence for Practitioners," Econometrics 0506010, University Library of Munich, Germany.
    6. Chmelarova, Viera & Nath, Hiranya K., 2010. "Relative price convergence among US cities: Does the choice of numeraire city matter?," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 405-414, March.

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    More about this item

    Keywords

    Small sample bias; Recursive mean adjustment; Panel Data; Cross-sectional dependence; Interest rate dynamics;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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