IDEAS home Printed from https://ideas.repec.org/a/cbu/jrnlec/y2014v3p23-27.html
   My bibliography  Save this article

Models Of Mental Health Care Financing In Europe

Author

Listed:
  • MARIANA BALAN

    (INSTITUTE FOR ECONOMIC FORECASTING, BUCHAREST,ROMANIA)

  • CARMEN BEATRICE PAUNA

    (INSTITUTE FOR ECONOMIC FORECASTING, BUCHAREST,ROMANIA)

Abstract

In our paper there presented some mathematic models used to study the durations of treatments, the improvement in the patient’s condition, the use of medications, and the performance of the health services in general and of mental health in special. More than these it will be looked after the different models of health care financing, their mental health care services in nine European countries, as partners of the EU funded REFINEMENT project The most recent method to identify the health care funding systems can be found in the REFINEMENT project, in which a bespoke questionnaire was developed to ask questions about various aspects of the funding and organisation of health and social welfare systems in the nine countries. The models and methods presented in this paper can be adapted to the specific conditions of the mental health system in Romania, which is subject to the next stages of the project activities REFINEMENT.

Suggested Citation

  • Mariana Balan & Carmen Beatrice Pauna, 2014. "Models Of Mental Health Care Financing In Europe," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 3, pages 23-27, June.
  • Handle: RePEc:cbu:jrnlec:y:2014:v:3:p:23-27
    as

    Download full text from publisher

    File URL: http://www.utgjiu.ro/revista/ec/pdf/2014-03/04_Balan.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gilleskie, Donna B. & Mroz, Thomas A., 2004. "A flexible approach for estimating the effects of covariates on health expenditures," Journal of Health Economics, Elsevier, vol. 23(2), pages 391-418, March.
    2. Cross, John G. & Knesper, David J. & De Rooij, J. Paul, 1990. "An econometric model of an episode of mental health care for patients with mild conditions: Implications for caregiver substitution," Socio-Economic Planning Sciences, Elsevier, vol. 24(3), pages 173-185.
    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. 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.
    2. Sungchul Park & Anirban Basu, 2018. "Alternative evaluation metrics for risk adjustment methods," Health Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 984-1010, June.
    3. Julien Hugonnier & Florian Pelgrin & Pascal St‐Amour, 2020. "Closing down the shop: Optimal health and wealth dynamics near the end of life," Health Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 138-153, February.
    4. 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.
    5. Donna Gilleskie & Euna Han & Edward Norton, 2017. "Disentangling the Contemporaneous and Dynamic Effects of Human and Health Capital on Wages over the Life Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 25, pages 350-383, April.
    6. Amanda Kowalski, 2016. "Censored Quantile Instrumental Variable Estimates of the Price Elasticity of Expenditure on Medical Care," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 107-117, January.
    7. Harris, Matthew & Kohn, Jennifer, 2015. "Reference dependent utility from health and the demand for medical care," MPRA Paper 61926, University Library of Munich, Germany.
    8. Cantoni, Eva & Ronchetti, Elvezio, 2006. "A robust approach for skewed and heavy-tailed outcomes in the analysis of health care expenditures," Journal of Health Economics, Elsevier, vol. 25(2), pages 198-213, March.
    9. Liu, Haiyong & Mroz, Thomas & Adair, Linda, 2009. "Parental compensatory behaviors and early child health outcomes in Cebu, Philippines," Journal of Development Economics, Elsevier, vol. 90(2), pages 209-230, November.
    10. Liu, Haiyong & Mroz, Thomas A. & van der Klaauw, Wilbert, 2010. "Maternal employment, migration, and child development," Journal of Econometrics, Elsevier, vol. 156(1), pages 212-228, May.
    11. Sriubaite, I. & Harris, A. & Jones, A.M. & Gabbe, B., 2020. "Economic Consequences of Road Traffic Injuries. Application of the Super Learner algorithm," Health, Econometrics and Data Group (HEDG) Working Papers 20/20, HEDG, c/o Department of Economics, University of York.
    12. Bessho, S., 2023. "Elections and COVID-19 benefit payments," Journal of Asian Economics, Elsevier, vol. 87(C).
    13. Sommers, Benjamin D. & Oellerich, Donald, 2013. "The poverty-reducing effect of Medicaid," Journal of Health Economics, Elsevier, vol. 32(5), pages 816-832.
    14. Udo Schneider & Volker Ulrich, 2007. "Health Relevant Behavior and its Impact on the Physician-Patient Relationship," Working Papers 023, Bavarian Graduate Program in Economics (BGPE).
    15. Jones, A. & Lomas, J. & Rice, N., 2014. "Going Beyond the Mean in Healthcare Cost Regressions: a Comparison of Methods for Estimating the Full Conditional Distribution," Health, Econometrics and Data Group (HEDG) Working Papers 14/26, HEDG, c/o Department of Economics, University of York.
    16. Andrew M. Jones & James Lomas & Peter T. Moore & Nigel Rice, 2016. "A quasi-Monte-Carlo comparison of parametric and semiparametric regression methods for heavy-tailed and non-normal data: an application to healthcare costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(4), pages 951-974, October.
    17. Borislava Mihaylova & Andrew Briggs & Anthony O'Hagan & Simon G. Thompson, 2011. "Review of statistical methods for analysing healthcare resources and costs," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 897-916, August.
    18. Harris, Matthew, 2015. "The impact of body weight on occupational mobility and career development," MPRA Paper 61924, University Library of Munich, Germany.
    19. Jackie, Yenerall & Wen, You & George, Davis & Paul, Estabrooks, 2015. "Examining Ways to Handle Non-Random Missingness in CEA through Econometric and Statistics Lenses," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205690, Agricultural and Applied Economics Association.
    20. Julien Hugonnier & Florian Pelgrin & Pascal St-Amour, 2010. "A structural analysis of the health expenditures and portfolio choices of retired agents," Swiss Finance Institute Research Paper Series 10-29, Swiss Finance Institute.

    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:cbu:jrnlec:y:2014:v:3:p:23-27. 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: Ecobici Nicolae (email available below). General contact details of provider: https://edirc.repec.org/data/fetgjro.html .

    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.