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Bootstrap bias-correction procedure in estimating long-run relationships from dynamic panels, with an application to money demand in the euro area

Author

Listed:
  • Dario Focarelli

    (Banca d'Italia)

Abstract

In dynamic panel data models, which are particularly well-suited to cross-country analysis, the Mean Group estimator (Pesaran and Smith, 1995) is under certain quite strong conditions consistent, but theoretical and empirical evidence indicates that it can be biased when the number of time observations is small. Possible explanations are sample-size bias and omitted variables or measurement errors that are correlated with the regressors. I find support for both hypotheses using a Monte Carlo experiment which analyzes cointegrated systems. A possible solution for the MG estimator bias is a bootstrap bias-correction procedure, but Pesaran and Zhao (1999) show that it performs well only when the true coefficient of the lagged dependent variable is small. In this paper, I test three different bootstrap procedures and obtain an appreciable reduction in the MG estimator bias, especially when the suggestions of Li and Maddala (1997) are applied. Finally, I use bootstrap bias-corrected estimators to investigate the long-run properties of money demand in the euro area.

Suggested Citation

  • Dario Focarelli, 2002. "Bootstrap bias-correction procedure in estimating long-run relationships from dynamic panels, with an application to money demand in the euro area," Temi di discussione (Economic working papers) 440, Bank of Italy, Economic Research and International Relations Area.
    • Handle: RePEc:bdi:wptemi:td_440_02
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    References listed on IDEAS

    as
    1. Francesco Zollino, 2001. "Personal Saving and Social Security in Italy: Fresh Evidence from a Time Series Analysis," Temi di discussione (Economic working papers) 417, Bank of Italy, Economic Research and International Relations Area.
    2. Luca Dedola & Eugenio Gaiotti & Luca Silipo, 2001. "Money demand in the euro area: do national differences matter?," Temi di discussione (Economic working papers) 405, Bank of Italy, Economic Research and International Relations Area.
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    Cited by:

    1. Francesco Columba, 2003. "Transaction Technology Innovation and Demand for Overnight Deposits in Italy," Temi di discussione (Economic working papers) 468, Bank of Italy, Economic Research and International Relations Area.
    2. Amel, Dean & Barnes, Colleen & Panetta, Fabio & Salleo, Carmelo, 2004. "Consolidation and efficiency in the financial sector: A review of the international evidence," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2493-2519, October.

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    More about this item

    Keywords

    dynamic panels; bias-corrected estimator; long-run coefficients; money demand;
    All these keywords.

    JEL classification:

    • 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
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money

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