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Convergence and Growth: Revisited

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  • José Miguel Benavente
  • Emerson Melo
  • Sandra Quijada

Abstract

The present paper builds on the work of Caselli, Esquivel and Lefort (1996) where growth equations are estimated using the Generalized Moment Method. It is shown here that the results of those authors are biased due to a methodological problem. The convergence rate of around 12% that they report is overestimated and the real rate is in fact around 3 or 4 %; in line with earlier studies. The results found are robust to various new dynamic panel estimation techniques, although the significant differences are indicated when making inferences if variance corrections are not considered for estimators that use the Generalized Moment Method.

Suggested Citation

  • José Miguel Benavente & Emerson Melo & Sandra Quijada, 2006. "Convergence and Growth: Revisited," Working Papers wp224, University of Chile, Department of Economics.
    • Handle: RePEc:udc:wpaper:wp224
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    References listed on IDEAS

    as
    1. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
    2. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    3. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
    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. Frank Windmeijer, 2000. "A finite sample correction for the variance of linear two-step GMM estimators," IFS Working Papers W00/19, Institute for Fiscal Studies.
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