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Healthcare Efficiency And Elderly Mortality In Italy

Author

Listed:
  • Rostand Arland Yebetchou Tchounkeu

    (Department of Economics and Social Sciences, Universita' Politecnica delle Marche)

  • Raffaella Santolini

    (Department of Economics and Social Sciences, Universita' Politecnica delle Marche)

  • Giulio Palomba

    (Department of Economics and Social Sciences, Universita' Politecnica delle Marche)

  • Elvina Merkaj

    (Department of Economics and Social Sciences, Universita' Politecnica delle Marche)

Abstract
The aim of this study is to assess the impact of healthcare efficiency on the mortality rate of elderly people aged 65 and 75 years old and over. To do this, we estimate a dynamic panel data model using the system generalised method of moments (SYS-GMM) on 106 Italian provinces over the period 2012-2019. To measure the efficiency index in the health sector, we apply the Data Envelopment Analysis (DEA) method. We also calculate the index via a bootstrap DEA method for robustness checks. Our results show that, on average, a 10% increase in healthcare efficiency at the Italian provincial level reduces the mortality rate of older adults by approximately 2% to 3%. Improving healthcare efficiency is crucial in enhancing the health services for the elderly and reduce mortality for this age group. Our findings could be helpful to policymakers in adopting measures that aim to increase healthcare efficiency, taking into account the specific needs of an aging population.

Suggested Citation

  • Rostand Arland Yebetchou Tchounkeu & Raffaella Santolini & Giulio Palomba & Elvina Merkaj, 2024. "Healthcare Efficiency And Elderly Mortality In Italy," Working Papers 485, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  • Handle: RePEc:anc:wpaper:485
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    References listed on IDEAS

    as
    1. Silvio Daidone & Francesco D’Amico, 2009. "Technical efficiency, specialization and ownership form: evidences from a pooling of Italian hospitals," Journal of Productivity Analysis, Springer, vol. 32(3), pages 203-216, December.
    2. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, December.
    3. Cristian Barra & Raffaele Lagravinese & Roberto Zotti, 2022. "Exploring hospital efficiency within and between Italian regions: new empirical evidence," Journal of Productivity Analysis, Springer, vol. 57(3), pages 269-284, June.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    5. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
    6. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    7. Hayakawa, Kazuhiko, 2007. "Small sample bias properties of the system GMM estimator in dynamic panel data models," Economics Letters, Elsevier, vol. 95(1), pages 32-38, April.
    8. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    9. Massimiliano Piacenza & Gilberto Turati, 2014. "Does Fiscal Discipline Towards Subnational Governments Affect Citizens' Well‐Being? Evidence On Health," Health Economics, John Wiley & Sons, Ltd., vol. 23(2), pages 199-224, February.
    10. Rosella Levaggi & Roberto Zanola, 2004. "Patients' migration across regions: the case of Italy," Applied Economics, Taylor & Francis Journals, vol. 36(16), pages 1751-1757.
    11. Annamaria Nifo & Gaetano Vecchione, 2014. "Do Institutions Play a Role in Skilled Migration? The Case of Italy," Regional Studies, Taylor & Francis Journals, vol. 48(10), pages 1628-1649, October.
    12. Boffardi, Raffaele, 2022. "How efficient is the Italian health system? Evidence on the role of political-institutional dynamics," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    13. Hauner, David & Kyobe, Annette, 2010. "Determinants of Government Efficiency," World Development, Elsevier, vol. 38(11), pages 1527-1542, November.
    14. Roberto Colombi & Gianmaria Martini & Giorgio Vittadini, 2017. "Determinants of transient and persistent hospital efficiency: The case of Italy," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 5-22, September.
    15. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
    16. repec:wly:hlthec:v:26:y:2017:i::p:5-22 is not listed on IDEAS
    17. Lorenzo Ferrari & Francesco Salustri, 2020. "The relationship between corruption and chronic diseases: evidence from Europeans aged 50 years and older," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(3), pages 345-355, April.
    18. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    19. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    20. Davide Golinelli & Fabrizio Toscano & Andrea Bucci & Jacopo Lenzi & Maria Pia Fantini & Nicola Nante & Gabriele Messina, 2017. "Health Expenditure and All-Cause Mortality in the ‘Galaxy’ of Italian Regional Healthcare Systems: A 15-Year Panel Data Analysis," Applied Health Economics and Health Policy, Springer, vol. 15(6), pages 773-783, December.
    21. Asiskovitch, Sharon, 2010. "Gender and health outcomes: The impact of healthcare systems and their financing on life expectancies of women and men," Social Science & Medicine, Elsevier, vol. 70(6), pages 886-895, March.
    22. Dan Lupu & Ramona Tiganasu, 2022. "COVID-19 and the efficiency of health systems in Europe," Health Economics Review, Springer, vol. 12(1), pages 1-15, December.
    23. Phebe Asantewaa Owusu & Samuel Asumadu Sarkodie & Pål Andreas Pedersen, 2021. "Relationship between mortality and health care expenditure: Sustainable assessment of health care system," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-15, February.
    24. Rahab Mbau & Anita Musiega & Lizah Nyawira & Benjamin Tsofa & Andrew Mulwa & Sassy Molyneux & Isabel Maina & Julie Jemutai & Charles Normand & Kara Hanson & Edwine Barasa, 2023. "Analysing the Efficiency of Health Systems: A Systematic Review of the Literature," Applied Health Economics and Health Policy, Springer, vol. 21(2), pages 205-224, March.
    25. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    26. Gilberto Turati & Gian Paolo Barbetta, 2001. "L'analisi dell'efficienza tecnica nel settore della sanit?. Un'applicazione al caso della Lombardia," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2001(2).
    27. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    28. Richard Heijink & Xander Koolman & Gert Westert, 2013. "Spending more money, saving more lives? The relationship between avoidable mortality and healthcare spending in 14 countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(3), pages 527-538, June.
    29. Argyris, Nikolaos & Karsu, Özlem & Yavuz, Mirel, 2022. "Fair resource allocation: Using welfare-based dominance constraints," European Journal of Operational Research, Elsevier, vol. 297(2), pages 560-578.
    30. Lagravinese, Raffaele & Liberati, Paolo & Resce, Giuliano, 2019. "Exploring health outcomes by stochastic multicriteria acceptability analysis: An application to Italian regions," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1168-1179.
    31. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
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    More about this item

    Keywords

    health efficiency; elderly mortality; DEA; dynamic panel data analysis;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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