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Le differenze regionali nella governance della spesa sanitaria. La sanità alla sfide del federalismo: il modello SaniRegio di CeRM
[Regional differences in the governance of health care expenditure. Italian Health Care System (Ssn) in the transition toward Federalism: the SaniRegio Model by CeRM]

Author

Listed:
  • Pammolli, Fabio
  • Salerno, Nicola

Abstract

SaniRegio is an econometric model, based on fixed effects panel techniques, that investigates the level of efficiency of Italian Regions in governing their health care systems. As a result of the model, we obtain a measure of the efficient or standardized expenditure that may be compared to the effective expenditure. The different degree of efficiency on the side of expenditure is finally commented taking into account also the different degree of quality of Italian Regions in offering health care provisions to their citizens.

Suggested Citation

  • Pammolli, Fabio & Salerno, Nicola, 2011. "Le differenze regionali nella governance della spesa sanitaria. La sanità alla sfide del federalismo: il modello SaniRegio di CeRM [Regional differences in the governance of health care expenditure," MPRA Paper 36934, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:36934
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    File URL: https://mpra.ub.uni-muenchen.de/36934/1/MPRA_paper_36934.pdf
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    References listed on IDEAS

    as
    1. Fabio Pammolli & Massimo Riccaboni & Laura Magazzini, 2012. "The sustainability of European health care systems: beyond income and aging," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 623-634, October.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Chiara Bonassi & Laura Magazzini & Fabio Pammolli & Massimo Riccaboni & Nicola Carmine Salerno, 2007. "La spesa farmaceutica territoriale convenzionata: il modello FarmaRegio per l'analisi della variabilità regionale," Working Papers CERM 03-2007, Competitività, Regole, Mercati (CERM).
    4. Office of Health Economics, 2007. "The Economics of Health Care," For School 001490, Office of Health Economics.
    5. Fabio Pammolli & Gianluca Papa & Nicola Carmine Salerno, 2009. "La spesa sanitaria pubblica in Italia: dentro la "scatola nera" delle differenze regionali - Il modello SaniRegio," Working Papers CERM 02-2009, Competitività, Regole, Mercati (CERM).
    6. Oecd, 2006. "Projecting OECD Health and Long-Term Care Expenditures: What Are the Main Drivers?," OECD Economics Department Working Papers 477, OECD Publishing.
    7. Fabio Pammolli & Nicola Carmine Salerno, 2011. "Federalismo e riparto del Fsn-2011: Much Ado About Nothing?," Working Papers CERM 01-2011, Competitività, Regole, Mercati (CERM).
    8. Gerdtham, Ulf-G. & Jonsson, Bengt, 2000. "International comparisons of health expenditure: Theory, data and econometric analysis," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 1, pages 11-53, Elsevier.
    9. Eddy Adang & George Borm, 2007. "Is there an association between economic performance and public satisfaction in health care?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 8(3), pages 279-285, September.
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    More about this item

    Keywords

    Health Care System; health care expenditure; Italian Ssn; inter Regions benchmarking; efficiency ranking; quality ranking; transition toward Federalism; paths of convergence; sustainability;
    All these keywords.

    JEL classification:

    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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