Convergence Patterns in the World Economy: Exploring the Non-Linearity Hypothesis
AbstractThe objective of this paper is to question the conventional convergence literature, which bases its findings on the use of linear regression models. With the use of quadratic WLS regression analysis we show that a number of indicators of economic performance follow a pattern of change that is in essence non-linear. Our results indicate the formation of two clubs at the world scale: A convergence club that includes countries with a low to mediumhigh level of development and a divergence club including countries with a medium-high to very high levels of development. After a critical threshold the forces of divergence at the world scale dominate and the most dynamic countries eventually grow faster. Undoubtedly, the formation of a diverging leaders club and a further increase in world level development gap has serious implications for theory and policy.
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Bibliographic InfoPaper provided by Economic and Social Research Institute (ESRI) in its series Papers with number DYNREG32.
Length: 24 pages
Date of creation: 2008
Date of revision:
Other versions of this item:
- Panagiotis Artelaris & Paschalis A. Arvanitidis & George Petrakos, 2011. "Convergence patterns in the world economy: exploring the nonlinearity hypothesis," Journal of Economic Studies, Emerald Group Publishing, vol. 38(3), pages 236-252, July.
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
- O57 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-11-18 (All new papers)
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