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

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  • Roberto Basile

Abstract

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.

Suggested Citation

  • Roberto Basile, 2010. "Intra-distribution dynamics of regional per-capita income in Europe: evidence from alternative conditional density estimators," Statistica, Department of Statistics, University of Bologna, vol. 70(1), pages 3-22.
    • Handle: RePEc:bot:rivsta:v:70:y:2010:i:1:p:3-22
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    Cited by:

    1. Bartlomiej Rokicki & Geoffrey J.D. Hewings, 2017. "The impact of the regional price deflators on regional income convergence in Poland," Bank i Kredyt, Narodowy Bank Polski, vol. 48(6), pages 531-556.
    2. Serge Rey & Florent Deisting, 2012. "GDP per Capita among African Countries over the Period 1950-2008: Highlights of Convergence Clubs," Post-Print hal-01885301, HAL.
    3. Serge Rey & Florent Deisting, 2012. "GDP per Capita among African Countries over the Period 1950–2008: Highlights of Convergence Clubs," Economics Bulletin, AccessEcon, vol. 32(4), pages 2779-2800.
    4. Liontakis, Angelos E. & Papadas, Christos T., 2009. "Distribution Dynamics of Food Price Inflation Rates in EU: An Alternative Conditional Density Estimator Approach," 113th Seminar, September 3-6, 2009, Chania, Crete, Greece 58084, European Association of Agricultural Economists.
    5. Roberto Ezcurra & Manuel Rapún, 2007. "Regional Dynamics And Convergence Profiles In The Enlarged European Union: A Non‐Parametric Approach," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 98(5), pages 564-584, December.
    6. repec:elg:eechap:14395_11 is not listed on IDEAS
    7. Licia Ferranna & Margherita Gerolimetto & Stefano Magrini, 2016. "The effect of immigration on convergence dynamics in the US," Working Papers 2016:27, Department of Economics, University of Venice "Ca' Foscari".
    8. Margherita Gerolimetto & Stefano Magrini, 2017. "A Novel Look at Long-run Convergence Dynamics in the United States," International Regional Science Review, , vol. 40(3), pages 241-269, May.
    9. Margherita Gerolimetto & Stefano Magrini, 2016. "Distribution Dynamics in the US. A Spatial Perspective," Working Papers 2016:02, Department of Economics, University of Venice "Ca' Foscari".
    10. Stefano Magrini, 2007. "Analysing Convergence through the Distribution Dynamics Approach: Why and how?," Working Papers 2007_13, Department of Economics, University of Venice "Ca' Foscari".
    11. Roberto Basile, 2014. "Regional productivity growth in Europe: a Schumpeterian perspective," Gecomplexity Discussion Paper Series 1, Action IS1104 "The EU in the new complex geography of economic systems: models, tools and policy evaluation", revised Nov 2014.
    12. Olivier Peron & Serge Rey, 2012. "Trade and convergence of per capita income in the Indian Ocean Zone, 1950–2008," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(3), pages 657-683, December.
    13. Roberto Basile, 2009. "Productivity Polarization across Regions in Europe," International Regional Science Review, , vol. 32(1), pages 92-115, January.
    14. Stefano Magrini & Margherita Gerolimetto, 2015. "Spatial Distribution Dynamics," ERSA conference papers ersa15p1172, European Regional Science Association.

    More about this item

    JEL classification:

    • 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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