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A Human Capital Index for the Italian Provinces



Good health conditions and high quality education are crucial for children development and for their future contribution to the society. Human capital has been recognized as one of the crucial engines of economic growth. Nonetheless, it is often hard to establish a metric that allows to monitor its evolution and contribute to assess the effects of policies. In Italy, the use of such an index at national level may not be enough to have a clear picture of the human capital conditions. Socio-economic characteristics and public services are highly heterogeneous across the Country. There is, therefore, good ground to believe that also the human capital presents substantial differences across the Italian Provinces. To take such a high heterogeneity into consideration, we develop a Human Capital Index for Italy disaggregated at provincial level. The results show very large differences across Italian Provinces in terms of human capital, mostly driven by the variation in the quality of educational. Strikingly, the differences among Italian Provinces span a range that goes from best performers among high income countries to middle and low income countries. Finally, we classify the Italian Provinces in three main clusters according to their HCI and show how the clusters differ in terms of several socio-economic characteristics.

Suggested Citation

  • Alessandra Pasquini & Furio Camillo Rosati, 2020. "A Human Capital Index for the Italian Provinces," CEIS Research Paper 494, Tor Vergata University, CEIS, revised 17 Jun 2020.
  • Handle: RePEc:rtv:ceisrp:494

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    References listed on IDEAS

    1. Kraay,Aart C., 2018. "Methodology for a World Bank Human Capital Index," Policy Research Working Paper Series 8593, The World Bank.
    2. Miles Corak, 2013. "Income Inequality, Equality of Opportunity, and Intergenerational Mobility," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 79-102, Summer.
    3. Filmer, Deon & Rogers, Halsey & Angrist, Noam & Sabarwal, Shwetlena, 2020. "Learning-adjusted years of schooling (LAYS): Defining a new macro measure of education," Economics of Education Review, Elsevier, vol. 77(C).
    4. Patrinos,Harry Anthony & Angrist,Noam, 2018. "Global Dataset on Education Quality : A Review and Update (2000-2017)," Policy Research Working Paper Series 8592, The World Bank.
    5. Blane, D., 1995. "Social determinants of health--socioeconomic status, social class, and ethnicity," American Journal of Public Health, American Public Health Association, vol. 85(7), pages 903-905.
    6. Giuseppe Folloni & Giorgio Vittadini, 2010. "Human Capital Measurement: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 24(2), pages 248-279, April.
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    1. Touhami Abdelkhalek & Dorothée Boccanfuso, 2022. "Human Capital Index (HCI) – from uncertainty to robustness of comparisons," Applied Economics, Taylor & Francis Journals, vol. 54(28), pages 3246-3260, June.
    2. Darlington Agbonifi & Daniele Cufari & Riccardo Magnani & Francesco Pecci & Federico Perali & Pasquale Lucio Scandizzo, 2023. "The Intra and Multi-Regional Impact of a Local PNRR Project using a Multi-Regional SAM Model of Italy," Working Papers 15, SITES.
    3. Barbara Dañska-Borsiak, 2023. "Human capital convergence in European NUTS 2 regions," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(2), pages 367-392, June.
    4. Darlington Agbonifi, 2023. "The dynamic approach of modelling regional recovery investment policies using environmentally-extended SAM Matrix," Working Papers 04/2023, University of Verona, Department of Economics.

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    More about this item

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy


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