IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v21y2014i5p350-355.html
   My bibliography  Save this article

The injured victim's health care spending: is there an effect of the origin of accident?

Author

Listed:
  • Laurent Carnis
  • Hamza Achit

Abstract

The aim of this study is to identify if the origin of an accident makes a difference in health care spending incurred by disabled victim. We analyse and model the amount of medical spending for victims whose disabilities are resulting from accidents occurring at home, at work and on road. Data about medical spending were provided by the social security fund in France. These data outline the amount incurred by different disabled persons in the different medical specialties. The results of the model show that although the victims of different types of accident are suffering from the same chronic diseases, they show different levels of medical spending. Persons injured in a road accident have a higher recourse to medical treatments.

Suggested Citation

  • Laurent Carnis & Hamza Achit, 2014. "The injured victim's health care spending: is there an effect of the origin of accident?," Applied Economics Letters, Taylor & Francis Journals, vol. 21(5), pages 350-355, March.
  • Handle: RePEc:taf:apeclt:v:21:y:2014:i:5:p:350-355
    DOI: 10.1080/13504851.2013.861576
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2013.861576
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2013.861576?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.

    References listed on IDEAS

    as
    1. L. Carnis & N. Vaillant & B. Dervaux, 2013. "Is injury compensation inequitable ? Evidence from road accidents victims in France," Post-Print hal-00675293, HAL.
    2. Manning, Willard G. & Basu, Anirban & Mullahy, John, 2005. "Generalized modeling approaches to risk adjustment of skewed outcomes data," Journal of Health Economics, Elsevier, vol. 24(3), pages 465-488, May.
    3. Knut Veisten & Åse Nossum & Juned Akhtar, 2009. "Total costs of injury from accidents in the home and during education, sports and leisure activities: estimates for Norway with assessment of uncertainty," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 10(3), pages 337-346, July.
    4. Maraste, Pia & Persson, Ulf & Berntman, Monica, 2003. "Long-term follow-up and consequences for severe road traffic injuries--treatment costs and health impairment in Sweden in the 1960s and the 1990s," Health Policy, Elsevier, vol. 66(2), pages 147-158, November.
    5. Nicolas Gérard Vaillant & Laurent Carnis & Nicolas Vaillant & Benoît Dervaux, 2013. "Is injury compensation inequitable? Evidence from road accidents victims in France," Post-Print hal-02514407, HAL.
    6. Laurent Carnis & Nicolas Vaillant & Benoît Dervaux, 2013. "Is injury compensation inequitable ? Evidence from road accidents victims in France," Post-Print hal-00868289, HAL.
    7. Laurent Carnis & Nicolas Vaillant & Benoît Dervaux, 2013. "Is injury compensation inequitable? Evidence from road accidents victims in France," Applied Economics Letters, Taylor & Francis Journals, vol. 20(1), pages 28-33, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ramon Alemany & Mercedes Ayuso Gutiérrez & Montserrat Guillen, 2018. "Impact of home and leisure accident rates on disability and costs of long term care in Spain," Working Papers 2018-03, Universitat de Barcelona, UB Riskcenter.
    2. Sankar Mukhopadhyay & Wei Yang & Wai Lee & Jeanne Wendel, 2008. "Analyzing the impact of prenatal care on infant health: do we have useful input and output measures?," Economics Bulletin, AccessEcon, vol. 9(22), pages 1-14.
    3. Courbage, Christophe & Rey, Béatrice, 2012. "Priority setting in health care and higher order degree change in risk," Journal of Health Economics, Elsevier, vol. 31(3), pages 484-489.
    4. Jones, A.M, 2010. "Models For Health Care," Health, Econometrics and Data Group (HEDG) Working Papers 10/01, HEDG, c/o Department of Economics, University of York.
    5. Caballer-Tarazona, Vicent & Guadalajara-Olmeda, Natividad & Vivas-Consuelo, David, 2019. "Predicting healthcare expenditure by multimorbidity groups," Health Policy, Elsevier, vol. 123(4), pages 427-434.
    6. Onur Başer & Joseph C. Gardiner & Cathy J. Bradley & Hüseyin Yüce & Charles Given, 2006. "Longitudinal analysis of censored medical cost data," Health Economics, John Wiley & Sons, Ltd., vol. 15(5), pages 513-525, May.
    7. Toni Mora & Joan Gil & Antoni Sicras-Mainar, 2012. "The Influence of BMI, Obesity and Overweight on Medical Costs: A Panel Data Approach," Working Papers 2012-08, FEDEA.
    8. Liu, Lei & Strawderman, Robert L. & Cowen, Mark E. & Shih, Ya-Chen T., 2010. "A flexible two-part random effects model for correlated medical costs," Journal of Health Economics, Elsevier, vol. 29(1), pages 110-123, January.
    9. Jean‐Paul Chaze, 2005. "Assessing household health expenditure with Box–Cox censoring models," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 893-907, September.
    10. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.
    11. Tor Iversen & Eline Aas & Gunnar Rosenqvist & Unto Häkkinen & on behalf of the EuroHOPE study group, 2015. "Comparative Analysis of Treatment Costs in EUROHOPE," Health Economics, John Wiley & Sons, Ltd., vol. 24(S2), pages 5-22, December.
    12. Toni Mora & Joan Gil & Antoni Sicras-Mainar, 2015. "The influence of obesity and overweight on medical costs: a panel data perspective," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 161-173, March.
    13. Marcel Bilger & Willard G. Manning, 2015. "Measuring Overfitting In Nonlinear Models: A New Method And An Application To Health Expenditures," Health Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 75-85, January.
    14. Manning, Willard G. & Basu, Anirban & Mullahy, John, 2005. "Generalized modeling approaches to risk adjustment of skewed outcomes data," Journal of Health Economics, Elsevier, vol. 24(3), pages 465-488, May.
    15. Dunn, Abe, 2016. "Health insurance and the demand for medical care: Instrumental variable estimates using health insurer claims data," Journal of Health Economics, Elsevier, vol. 48(C), pages 74-88.
    16. Kaushik Ghosh & Irina Bondarenko & Kassandra L Messer & Susan T Stewart & Trivellore Raghunathan & Allison B Rosen & David M Cutler, 2020. "Attributing medical spending to conditions: A comparison of methods," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    17. Kurt Lavetti & Thomas DeLeire & Nicolas R. Ziebarth, 2023. "How do low‐income enrollees in the Affordable Care Act marketplaces respond to cost‐sharing?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 90(1), pages 155-183, March.
    18. Amir Marashi & Shima Ghassem Pour & Vincy Li & Chris Rissel & Federico Girosi, 2019. "The association between physical activity and hospital payments for acute admissions in the Australian population aged 45 and over," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-16, June.
    19. Juan F Orueta & Arturo García-Álvarez & Manuel García-Goñi & Francesco Paolucci & Roberto Nuño-Solinís, 2014. "Prevalence and Costs of Multimorbidity by Deprivation Levels in the Basque Country: A Population Based Study Using Health Administrative Databases," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-11, February.
    20. Vicki L. Bogan & Angela R. Fertig, 2018. "Mental health and retirement savings: Confounding issues with compounding interest," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 404-425, February.

    More about this item

    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:taf:apeclt:v:21:y:2014:i:5:p:350-355. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.