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Vulnerability to poverty in Italy

Author

Listed:
  • Amendola, Nicola
  • rossi, mariacristina
  • Vecchi, Giovanni

Abstract

The article empirically analyses the phenomenon of vulnerability to poverty – meant as an individual’s likelihood of becoming poor in the future. On the basis of studies conducted by the Italian Institute of Statistics on the consumption of Italian households in the years 1985-2001 and whose data have been rearranged in a pseudo-panel form, the article estimates the incidence of vulnerability to poverty at national and regional level. We find that potential poverty concerns an unexpectedly high percentage of the population – even as much as 50% in some years. Regional differences are broad, persistent and on the rise: moving from north to south, the risk of becoming poor in the future triples. Vulnerability analysis turns out to be a useful tool which should complement the traditional analysis of poverty.

Suggested Citation

  • Amendola, Nicola & rossi, mariacristina & Vecchi, Giovanni, 2012. "Vulnerability to poverty in Italy," MPRA Paper 38583, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:38583
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    File URL: https://mpra.ub.uni-muenchen.de/38583/1/MPRA_paper_38583.pdf
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    Other versions of this item:

    • Nicola Amendola & Mariacristina Rossi & Giovanni Vecchi, 2012. "Vulnerability to Poverty in Italy," Working papers 007, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.

    References listed on IDEAS

    as
    1. Francesco Devicienti & Valentina Gualtieri, 2007. "The Dynamics and Persistence of Poverty: Evidence from Italy," LABORatorio R. Revelli Working Papers Series 63, LABORatorio R. Revelli, Centre for Employment Studies.
    2. Zamagni, Vera, 1997. "The Economic History of Italy 1860-1990," OUP Catalogue, Oxford University Press, number 9780198292890.
    3. Alwang, Jeffrey & Siegel, Paul B. & Jorgensen, Steen L., 2001. "Vulnerability : a view from different disciplines," Social Protection Discussion Papers and Notes 23304, The World Bank.
    4. Piraino Patrizio, 2007. "Comparable Estimates of Intergenerational Income Mobility in Italy," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(2), pages 1-27, October.
    5. Luc J. Christiaensen & Kalanidhi Subbarao, 2005. "Towards an Understanding of Household Vulnerability in Rural Kenya," Journal of African Economies, Centre for the Study of African Economies, vol. 14(4), pages 520-558, December.
    6. Diamond, Peter A, 1981. "Mobility Costs, Frictional Unemployment, and Efficiency," Journal of Political Economy, University of Chicago Press, vol. 89(4), pages 798-812, August.
    7. Hoddinott, John & Quisumbing, Agnes, 2003. "Methods for microeconometric risk and vulnerability assessments," Social Protection Discussion Papers and Notes 29138, The World Bank.
    8. Bourguignon, Francois & Goh, Chor-ching & Kim, Dae Il, 2004. "Estimating individual vulnerability to poverty with pseudo-panel data," Policy Research Working Paper Series 3375, The World Bank.
    9. Yuan Zhang & Guanghua Wan, 2009. "How Precisely Can We Estimate Vulnerability to Poverty?," Oxford Development Studies, Taylor & Francis Journals, vol. 37(3), pages 277-287.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Carmen Mínguez & María José Piñeira & Alfonso Fernández-Tabales, 2019. "Social Vulnerability and Touristification of Historic Centers," Sustainability, MDPI, vol. 11(16), pages 1-24, August.

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    More about this item

    Keywords

    poverty; vulnerability; living conditions; wellbeing;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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