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Abstract

This paper analyzes whether or not the econometric methods usually applied to test for absolute convergence have provided this hypothesis a fair. I show that traditional (absolute and conditional) convergence tests are not consistent with even the simplest model that displays convergence. Furthermore, claims of divergence on the grounds of bimodalities in the distribution of GDP per capita can be made consistent with models in which neither divergence nor twin peaks are present in the long run.

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Bibliographic Info

Paper provided by Central Bank of Chile in its series Working Papers Central Bank of Chile with number 176.

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Date of creation: Aug 2002
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Handle: RePEc:chb:bcchwp:176

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This paper has been announced in the following NEP Reports:

• NEP-ALL-2002-08-29 (All new papers)
• NEP-DEV-2002-08-29 (Development)

References

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   • Gernot Doppelhofer & Ronald I. Miller & Xavier Sala-i-Martin, 2000. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (Bace) Approach," OECD Economics Department Working Papers 266, OECD Publishing.
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Cited by:

1. Bennett Sutton & Genevieve Lindow & Maria Isabel Serra & Gustavo Ramirez & Maria Fernanda Pazmino, 2006. "Regional Convergence in Latin America," IMF Working Papers 06/125, International Monetary Fund.
2. Roberto Duncan & J. Rodrigo Fuentes, 2005. "Convergencia Regional en Chile: Nuevos Tests, Viejos Resultados," Working Papers Central Bank of Chile 313, Central Bank of Chile.
3. Pablo Pincheira, 2006. "Convergence and Long Run Uncertainty," Working Papers Central Bank of Chile 391, Central Bank of Chile.

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