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Structural change and cross-country growth empirics

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  • Eberhardt, Markus
  • Teal, Francis

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.

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Bibliographic Info

Paper provided by The World Bank in its series Policy Research Working Paper Series with number 6335.

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Date of creation: 01 Jan 2013
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Handle: RePEc:wbk:wbrwps:6335

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Related research

Keywords: Economic Theory&Research; E-Business; ICT Policy and Strategies; Economic Growth; Statistical&Mathematical Sciences;

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References

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  1. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
  2. Pesaran, M.H. & Smith, R., 1992. "Estimating Long-Run Relationships From Dynamic Heterogeneous Panels," Cambridge Working Papers in Economics 9215, Faculty of Economics, University of Cambridge.
  3. Pesaran, M. Hashem, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," IZA Discussion Papers 1240, Institute for the Study of Labor (IZA).
  4. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
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Cited by:
  1. Markus Eberhardt & Andrea Filippo Presbitero, 2013. "This Time They're Different: Heterogeneity;and Nonlinearity in the Relationship;between Debt and Growth," Mo.Fi.R. Working Papers 92, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
  2. Marta Simões & João Sousa Andrade & Adelaide Duarte, 2013. "A Regional Perspective on Inequality and Growth in Portugal Using Panel Cointegration Analysis," GEMF Working Papers 2013-13, GEMF - Faculdade de Economia, Universidade de Coimbra.
  3. Herzer, Dierk & Strulik, Holger, 2013. "Religiosity and income: A panel cointegration and causality analysis," Center for European, Governance and Economic Development Research Discussion Papers 168, University of Goettingen, Department of Economics.
  4. repec:hal:cepnwp:hal-00951544 is not listed on IDEAS
  5. repec:hal:wpaper:hal-00951544 is not listed on IDEAS

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