Structural change and cross-country growth empirics

Markus Eberhardt and Francis Teal

No 6335, Policy Research Working Paper Series from The World Bank

Abstract: One of the most striking features of economic growth is the process of structural change whereby the share of agriculture in GDP decreases as countries develop. The cross-country growth literature typically estimates an aggregate homogeneous production function or convergence regression model that abstracts from this process of structural change. This paper investigates the extent to which assumptions about aggregation and homogeneity matter for inferences regarding the nature of technology differences across countries. Using a unique World Bank dataset, it estimates production functions for agriculture and manufacturing in a panel of 40 developing and developed countries for the period from 1963 to 1992. It empirically models dimensions of heterogeneity across countries, allowing for different choices of technology within both sectors. The paper argues that heterogeneity is important within sectors across countries implying that an analysis of aggregate data will not produce useful measures of the nature of the technology or productivity. It shows that many of the puzzling elements in aggregate cross-country empirics can be explained by inappropriate aggregation across heterogeneous sectors.

Keywords: Economic Theory&Research; E-Business; ICT Policy and Strategies; Economic Growth; Statistical&Mathematical Sciences (search for similar items in EconPapers)
Date: 2013-01-01
New Economics Papers: this item is included in nep-dev and nep-geo
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Citations: View citations in EconPapers (33)

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Journal Article: Structural Change and Cross-Country Growth Empirics (2013)
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