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Determinants of Economic Growth in a Panel of Countries

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  • Robert J. Barro

Abstract

Growth rates vary enormously across countries over long periods of time. The reason for these variations is a central issue for economic policy, and crosscountry empirical work on this topic has been popular since the early 1990s. The findings from cross-country panel regressions show that the differences in per capita growth rates relate systematically to a set of quantifiable explanatory variables. One effect is a conditional convergence term-the growth rate rises when the initial level of real per capita GDP is low relative to the starting amount of human capital in the forms of educational attainment and health and for given values of other variables that reflect policies, institutions, and national characteristics. For given per capita GDP and human capital, growth depends positively on the rule of law and the investment ratio and negatively on the fertility rate, the ratio of government consumption to GDP, and the inflation rate. Growth increases with favorable movements in the terms of trade and with increased international openness, but the latter effect is surprisingly weak.

Suggested Citation

  • Robert J. Barro, 2003. "Determinants of Economic Growth in a Panel of Countries," Annals of Economics and Finance, Society for AEF, vol. 4(2), pages 231-274, November.
    • Handle: RePEc:cuf:journl:y:2003:v:4:i:2:p:231-274
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    References listed on IDEAS

    as
    1. Martin, Philippe & Rogers, Carol Ann, 1997. "Stabilization Policy, Learning-by-Doing, and Economic Growth," Oxford Economic Papers, Oxford University Press, vol. 49(2), pages 152-166, April.
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    More about this item

    Keywords

    Economic growth; Cross-country; Panel;

    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

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