A new approach for β-convergence estimation in Italy
AbstractIn this paper we test the presence of β-convergence among Italian regions, in the period 1980-2003, in presence of a trend break in the series following a new approach (Vogelsang and Tomljanovich, 2002). The break year is considered either known (1992) and endogenously estimated from the data. When we consider a known trend break date model the results evidence the presence of a convergence process for most of the Italian regions in the considered period. The outcome relative to the unknown break date model, on the contrary, strongly depend on the econometric model used to estimate the β-convergence.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 5643.
Date of creation: 2007
Date of revision:
β-convergence regional convergence;
Find related papers by JEL classification:
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
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- Mario Forni & Sergio Paba, 2000. "The Sources of Local Growth: Evidence from Italy," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 59(1), pages 1-49, April.
- Lodde, Sergio, 1999. "Education and growth; some disaggregated evidence from the Italian regions," ERSA conference papers ersa99pa117, European Regional Science Association.
- A. Di Liberto & J. Symons, 1998. "Human capital stocks and the development of Italian regions. A panel approach," Working Paper CRENoS 199804, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
- Faini, Riccardo, 1983. "Cumulative processes of de-industrialisation in an open region : The case of Southern Italy, 1951-1973," Journal of Development Economics, Elsevier, vol. 12(3), pages 277-301, June.
- Timothy J. Vogelsang, 1998. "Trend Function Hypothesis Testing in the Presence of Serial Correlation," Econometrica, Econometric Society, vol. 66(1), pages 123-148, January.
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