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Intra-distribution dynamics of regional per-capita income in Europe: evidence from alternative conditional density estimators

  • Roberto Basile

In this paper different conditional density estimators are employed to analyze the cross-sectional distribution dynamics of regional per-capita income in Europe during the period 1980-2002. First, a kernel estimator with fixed bandwidth (the method traditionally 20 R. Basile applied in the literature on intra-distribution dynamics) gives evidence of convergence. With a modified estimator, proposed by Hyndman et al. (1996), with variable bandwidth and mean-bias correction, the dominant income dynamics is that of persistence and lack of cohesion: only a fraction of very poor regions improves its position over time converging towards a low relative income (“poverty trap”). Moreover, an alternative graphical technique (more informative than the traditional contour plot) is applied to visualize conditional densities.

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Article provided by Department of Statistics, University of Bologna in its journal STATISTICA.

Volume (Year): 70 (2010)
Issue (Month): 1 ()
Pages: 3-22

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Handle: RePEc:bot:rivsta:v:70:y:2010:i:1:p:3-22
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  1. Ana Lamo, 2000. "On convergence empirics: same evidence for Spanish regions," Investigaciones Economicas, Fundación SEPI, vol. 24(3), pages 681-707, September.
  2. Enrique Lopez Bazo & Esther Vaya Valcarce & Antonio Jose Mora & Jordi Surinach Caralt, 1997. "Regional economic dynamics and convergence in the european union," Working Papers in Economics 12, Universitat de Barcelona. Espai de Recerca en Economia.
  3. Bashtannyk, D.M. & Hyndman, R.J., 1998. "Bandwidth Selection for Kernel Conditional Density Estimation," Monash Econometrics and Business Statistics Working Papers 16/98, Monash University, Department of Econometrics and Business Statistics.
  4. Quah, Danny, 2001. "Searching for prosperity a comment," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 305-319, December.
  5. Magrini, Stefano, 1999. "The evolution of income disparities among the regions of the European Union," Regional Science and Urban Economics, Elsevier, vol. 29(2), pages 257-281, March.
  6. Quah, Danny, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEPR Discussion Papers 1355, C.E.P.R. Discussion Papers.
  7. Qiwei Yao & Rob J. Hyndman, 2002. "Nonparametric estimation and symmetry tests for conditional density functions," LSE Research Online Documents on Economics 6092, London School of Economics and Political Science, LSE Library.
  8. Quah, Danny, 1993. " Galton's Fallacy and Tests of the Convergence Hypothesis," Scandinavian Journal of Economics, Wiley Blackwell, vol. 95(4), pages 427-43, December.
  9. Fingleton, Bernard, 1997. "Specification and Testing of Markov Chain Models: An Application to Convergence in the European Union," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(3), pages 385-403, August.
  10. Quah, Danny T., 1996. "Empirics for economic growth and convergence," European Economic Review, Elsevier, vol. 40(6), pages 1353-1375, June.
  11. Danny Quah, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEP Discussion Papers dp0280, Centre for Economic Performance, LSE.
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