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Il valore aggiunto su scala comunale: la Regione Umbria 2001-2003


  • Carlo Andrea BOLLINO
  • Paolo POLINORI


This paper analyses at micro-area level such consolidated economic growth relationships as those usually inquired at regional level. The first step is to estimate economic performance indicators at municipal levels. Through Chow Li (1971) and Bollino (1998) methodology we estimate value added for the Umbria municipalities for the years 2001-2003. Using previously estimated data for 1991, we perform a convergence analysis which shows the high heterogeneity that characterizes these micro-areas. Two heterogeneous behaviors arise in the region, thus indicating a failure of the convergence hypothesis. On the one side, there is a slow “periphery” effect and on the other side, there is a small cluster of historical municipalities (scattered through the whole region) which displays a higher growth pattern and leads the regional development.

Suggested Citation

  • Carlo Andrea BOLLINO & Paolo POLINORI, 2005. "Il valore aggiunto su scala comunale: la Regione Umbria 2001-2003," Quaderni del Dipartimento di Economia, Finanza e Statistica 15/2005, Università di Perugia, Dipartimento Economia.
  • Handle: RePEc:pia:wpaper:15/2005

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    References listed on IDEAS

    1. Carlo V. Fiorio, 2004. "Confidence intervals for kernel density estimation," Stata Journal, StataCorp LP, vol. 4(2), pages 168-179, June.
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    Cited by:

    1. Mirella Damiani & Fabrizio Pompei & Andrea Ricci, 2011. "Temporary job protection and productivity growth in EU economies," Quaderni del Dipartimento di Economia, Finanza e Statistica 87/2011, Università di Perugia, Dipartimento Economia.
    2. Davide Castellani & Fabio Pieri, 2011. "Foreign Investments and Productivity Evidence from European Regions," Quaderni del Dipartimento di Economia, Finanza e Statistica 83/2011, Università di Perugia, Dipartimento Economia.
    3. Mirella Damiani, 2010. "Labour regulation, corporate governance and varieties of capitalism," Quaderni del Dipartimento di Economia, Finanza e Statistica 76/2010, Università di Perugia, Dipartimento Economia.
    4. Silvia Micheli, 2010. "Learning Curve and Wind Power," Quaderni del Dipartimento di Economia, Finanza e Statistica 81/2010, Università di Perugia, Dipartimento Economia.
    5. Stefano Herzel & Marco Nicolosi & Cătălin Stărică, 2012. "The cost of sustainability in optimal portfolio decisions," The European Journal of Finance, Taylor & Francis Journals, vol. 18(3-4), pages 333-349, May.
    6. Francesco Venturini, 2011. "Product variety, product quality, and evidence of Schumpeterian endogenous growth: a note," Quaderni del Dipartimento di Economia, Finanza e Statistica 93/2011, Università di Perugia, Dipartimento Economia.
    7. Luca Secondi, 2021. "Estimating Household Consumption Expenditure at Local Level In Italy: The Potential of the Cokriging Spatial Predictor," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 651-674, January.

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    More about this item


    Stima e ricostruzione microdati; convergenza; stime di densità kernel;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • 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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