On the potential pitfalls in estimating convergence by means of pooled and panel data
AbstractWe show that the use of pooled and panel data in estimating convergence across countries (or other territorial areas) may involve some pitfalls since this type of data cannot properly distinguish between actual convergence and the possibility of decreasing growth rates over time within each country (or geographical unit). We also show how the possible bias in the estimates can be eliminated.
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Bibliographic InfoPaper provided by Department of Economics, Parma University (Italy) in its series Economics Department Working Papers with number 2004-EP02.
Length: 13 pages
Date of creation: 2004
Date of revision:
Convergence; growth; panel data; pooling;
Find related papers by JEL classification:
- O41 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
- O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
- O49 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Other
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-11-30 (All new papers)
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- Carluccio Bianchi & Federica Calidoni & Mario Menegatti, 2009.
"Pitfalls In Estimating ß-Convergence By Means Of Panel Data: An Empirical Test,"
Quaderni di Dipartimento
102, University of Pavia, Department of Economics and Quantitative Methods.
- Carluccio Bianchi & Federica Calidoni & Mario Menegatti, 2009. "Pitfalls in estimating β-convergence by means of panel data: an empirical test," International Review of Economics, Springer, vol. 56(4), pages 347-357, December.
- Basturk, N. & Paap, R. & van Dijk, D.J.C., 2010. "Financial Development and Convergence Clubs," Econometric Institute Research Papers EI 2010-52, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- De Siano, Rita & D'Uva, Marcella, 2009. "Regional convergence in Italy: time series approaches," MPRA Paper 20397, University Library of Munich, Germany.
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