Intra-distribution dynamics of regional per-capita income in Europe: evidence from alternative conditional density estimators
AbstractIn 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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Bibliographic InfoArticle provided by Department of Statistics, University of Bologna in its journal STATISTICA.
Volume (Year): 70 (2010)
Issue (Month): 1 ()
Other versions of this item:
- Roberto Basile, 2007. "Intra-distribution dynamics of regional per-capita income in Europe: evidence from alternative conditional density estimators," ISAE Working Papers 75, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
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