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A time series approach to g convergence

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  • Francisco Maeso-Fernandez

Abstract

This paper applies time series analysis to study how the gap between a number of countries and the USA evolves through time. As other authors, it is found that time series analysis provides a better insight into the concept of convergence than the cross sectional one. The econometric results show that the stochastic behaviour of the output disparity varies considerably: neither the steady-state equilibrium nor the speed of convergence are unique and constant across countries and time. In general, there is catching up for European countries, convergence for East and South Asian countries, and neither of them for Latin American countries.

Suggested Citation

  • Francisco Maeso-Fernandez, 2003. "A time series approach to g convergence," Applied Economics, Taylor & Francis Journals, vol. 35(10), pages 1133-1146.
    • Handle: RePEc:taf:applec:v:35:y:2003:i:10:p:1133-1146
    DOI: 10.1080/0003684022000026584
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    Cited by:

    1. Bernd Aumann & Rolf Scheufele, 2010. "Is East Germany catching up? A time series perspective," Post-Communist Economies, Taylor & Francis Journals, vol. 22(2), pages 177-192.
    2. Ivan Trofimov, 2021. "Income terms of trade and economic convergence: Evidence from Latin America," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 46(2), pages 41-67, June.
    3. Trofimov, Ivan D., 2018. "Income terms of trade and economic convergence: Evidence from Latin America," MPRA Paper 87598, University Library of Munich, Germany.
    4. King, Alan & Ramlogan-Dobson, Carlyn, 2015. "International income convergence: Is Latin America actually different?," Economic Modelling, Elsevier, vol. 49(C), pages 212-222.

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