Identifying Threshold Effects and Typologies in Economic Growth: A Panel Approach
AbstractIn the paper, we use a panel data approach to study the threshold effects and nonlinearity in economic growth instead of the cross-sectional approach commonly used in previous studies. The methodologies developed by Hansen (2000) and Caner and Hansen (2004) are applied to identify threshold variables. The analysis reveals many threshold variables, in particular for short lengths of panels. However, the results vary according to the number of observations included. To reduce the large number of potential threshold variables, principle component analyses are used to create a smaller number of composite factors and test the threshold effects. Using a five-year panel, we show how to classify countries into different growth typologies. Finally, a local linear nonparametric estimation method is presented to illustrate the nonlinear curves of convergence relative to the threshold variables.
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Bibliographic InfoPaper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2005 Annual meeting, July 24-27, Providence, RI with number 19163.
Date of creation: 2005
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- Kourtellos, Andros & Tan, Chih Ming & Zhang, Xiaobo, 2007.
"Is the relationship between aid and economic growth nonlinear?,"
Journal of Macroeconomics,
Elsevier, vol. 29(3), pages 515-540, September.
- Andros Kourtelos & Chih Ming Tan & Xiaobo Zhang, 2006. "Is the Relationship Between Aid and Economics Growth Nonlinear?," University of Cyprus Working Papers in Economics 11-2006, University of Cyprus Department of Economics.
- Andros Kourtellos & Chih Ming Tan & Xiaobo Zhang, 2006. "Is the Relationship Between Aid and Economic Growth Nonlinear?," Discussion Papers Series, Department of Economics, Tufts University 0614, Department of Economics, Tufts University.
- Kourtellos, Andros & Tan, Chih Ming & Zhang, Xiaobo, 2007. "Is the relationship between aid and economic growth nonlinear?:," IFPRI discussion papers 694, International Food Policy Research Institute (IFPRI).
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