IDEAS home Printed from https://ideas.repec.org/a/eee/regeco/v78y2019ics0166046218304836.html
   My bibliography  Save this article

The side effects on health of a recovery plan in Italy: A nonparametric bounding approach

Author

Listed:
  • Depalo, Domenico

Abstract

This paper estimates the causal effects on health-related outcomes of recovery plans that were implemented in some Italian regions in the period 2007–12. Using administrative data, for regions that underwent the program the paper estimates negative effects on hospitalization and (to some extent) mortality rates, without gains in terms of efficiency. The lower the reduction of expenditures, the less severe the consequences on health outcomes. Since the assumptions required by standard methods do not hold for this analysis, the main contribution of the paper is the application of bounds, that are valid under mild conditions.

Suggested Citation

  • Depalo, Domenico, 2019. "The side effects on health of a recovery plan in Italy: A nonparametric bounding approach," Regional Science and Urban Economics, Elsevier, vol. 78(C).
  • Handle: RePEc:eee:regeco:v:78:y:2019:i:c:s0166046218304836
    DOI: 10.1016/j.regsciurbeco.2019.103466
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0166046218304836
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.regsciurbeco.2019.103466?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guccio, Calogero & Pignataro, Giacomo & Romeo, Domenica & Vidoli, Francesco, 2024. "Is austerity good for efficiency, at least? A counterfactual assessment for the Italian NHS," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    2. 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.
    3. Cirulli, Vanessa & Marini, Giorgia, 2023. "Are austerity measures really distressing? Evidence from Italy," Economics & Human Biology, Elsevier, vol. 49(C).
    4. Guccio, C. & Pignataro, G. & Vidoli, F., 2024. "It never rains but it pours: Austerity and mortality rate in peripheral areas," Economics & Human Biology, Elsevier, vol. 54(C).
    5. Depalo, Domenico, 2023. "Should the Daylight Saving Time be abolished? Evidence from work accidents in Italy," Economic Modelling, Elsevier, vol. 128(C).
    6. Massimo Bordignon & Silvia Coretti & Massimiliano Piacenza & Gilberto Turati, 2020. "Hardening subnational budget constraints via administrative subordination: The Italian experience of recovery plans in regional health services," Health Economics, John Wiley & Sons, Ltd., vol. 29(11), pages 1378-1399, November.
    7. Alessandra Cepparulo & Luisa Giuriato, 2022. "The residential healthcare for the elderly in Italy: some considerations for post-COVID-19 policies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(4), pages 671-685, June.
    8. Emanuele Arcà & Francesco Principe & Eddy Van Doorslaer, 2020. "Death by austerity? The impact of cost containment on avoidable mortality in Italy," Health Economics, John Wiley & Sons, Ltd., vol. 29(12), pages 1500-1516, December.

    More about this item

    Keywords

    Hospitalization; Mortality; Health outcomes; Policy evaluation; Bounds;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:regeco:v:78:y:2019:i:c:s0166046218304836. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/regec .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.