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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.

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File URL: http://www.econ.uchile.cl/uploads/publicacion/7aa38cd9-35e3-482f-83f9-b394549b5e36.pdf
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Bibliographic Info

Paper provided by University of Chile, Department of Economics in its series Working Papers with number wp224.

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Date of creation: Oct 2006
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Handle: RePEc:udc:wpaper:wp224

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Web page: http://www.econ.uchile.cl/
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Keywords: Convergence; GMM; Kiviet Correction.;

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  1. Bond, Stephen Roy & Hoeffler, Anke & Temple, Jonathan, 2001. "GMM Estimation of Empirical Growth Models," CEPR Discussion Papers 3048, C.E.P.R. Discussion Papers.
  2. 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.
  3. 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.
  4. Richard Blundell & Steve Bond, 1999. "GMM estimation with persistent panel data: an application to production functions," IFS Working Papers W99/04, Institute for Fiscal Studies.
  5. Hsiao,Cheng, 2003. "Analysis of Panel Data," Cambridge Books, Cambridge University Press, number 9780521522717, April.
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