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Civilian Disability Pensions as an Antipoverty Policy Instrument? A Spatial Analysis of Italian Provinces, 2003–2005

In: Social Exclusion

Author

Listed:
  • Massimiliano Agovino

    (Università d’Annunzio di Chieti-Pescara)

  • Giuliana Parodi

    (Università d’Annunzio di Chieti-Pescara)

Abstract

The purpose of this paper is to investigate whether civilian disability pensions have been used as an antipoverty measure in Italy. We applied a two-step analysis to Italian provincial data for the years 2003–2005. We implemented a classic panel analysis, followed by a two-step GMM (Generalised Method of Moments) analysis in which we introduced the spatial variable. The analysis shows that the number of civilian disability pensions is not related to disabling disease, but it is related to the unemployment rate in some areas and to the rate of poverty everywhere. These results robustly hold when the spatially lagged dependent variable is introduced among the regressors. The spatial variable allows us to take into account the local dimension and the possible social, historical, and cultural links among provinces that go beyond administrative boundaries. In discussing the results, we stress that the figures reflect the number of civilian disability pensions granted, not those requested. Moreover, the national legislation on the attribution of civilian disability pensions is administered locally; therefore, its application may reflect degrees of discretionary interpretation. We propose that there is room to interpret the use of civilian disability pensions as an antipoverty policy instrument in areas characterised by economic difficulties. However, we suggest that civilian disability pensions are particularly unsuited to play the role of an assistance policy instrument; once granted, they are seldom withdrawn despite possible changes in the financial situation of the recipient.

Suggested Citation

  • Massimiliano Agovino & Giuliana Parodi, 2012. "Civilian Disability Pensions as an Antipoverty Policy Instrument? A Spatial Analysis of Italian Provinces, 2003–2005," AIEL Series in Labour Economics, in: Giuliana Parodi & Dario Sciulli (ed.), Social Exclusion, chapter 0, pages 149-167, Springer.
  • Handle: RePEc:spr:aiechp:978-3-7908-2772-9_8
    DOI: 10.1007/978-3-7908-2772-9_8
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    Cited by:

    1. Massimiliano Agovino & Maria Ferrara, 2022. "Disabilit?: diseguaglianza sociale ed economica. Un?analisi empirica e teorica," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2022(1), pages 11-42.
    2. Massimiliano Agovino & Agnese Rapposelli, 2017. "Macroeconomic impact of flexicurity on the integration of people with disabilities into the labour market. A two-regime spatial autoregressive analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 307-334, January.
    3. Parodi, Giuliana & Sciulli, Dario, 2012. "Disability and Social Exclusion Dynamics in Italian Households," MPRA Paper 42445, University Library of Munich, Germany.
    4. Massimiliano Agovino & Maria Ferrara, 2017. "Can civilian disability pensions overcome the poverty issue? A DSGE analysis for Italian data," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1469-1491, July.
    5. Agovino, Massimiliano & Ferrara, Maria, 2015. "Disabilità e povertà: il ruolo delle pensioni di invalidità civile. Un'analisi DSGE per i dati italiani [Disability and poverty: the role of civilian disability pensions. A DSGE analysis for Italia," MPRA Paper 65616, University Library of Munich, Germany.

    More about this item

    Keywords

    Disability; Pensions; Models with panel data; Spatial models;
    All these keywords.

    JEL classification:

    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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