IDEAS home Printed from https://ideas.repec.org/p/inn/wpaper/2014-26.html
   My bibliography  Save this paper

Follow your Heart: Survival Chances and Costs after Heart Attacks - An Instrumental Variable Approach

Author

Listed:
  • Alice Sanwald
  • Thomas Schober

Abstract

We analyze mortality and follow-up costs of heart attack patients using administrative data from Austria from 2002-2011. As treatment intensity in a hospital largely depends on whether it has a catheterization laboratory, we focus on the effects of patients' initial admission to these specialized hospitals. To account for the nonrandom selection of patients into hospitals, we exploit individuals' place of residence as a source of exogenous variation in an instrumental variable framework. We find that the initial admission to specialized hospitals increases patients' survival chances substantially. The effect on 3-year mortality is -9.5 percentage points. A separation of the sample into subgroups shows the strongest effects in relative terms for patients below the age of 65. We do not find significant effects on long-term inpatient costs and find only marginal increases in outpatient costs.

Suggested Citation

  • Alice Sanwald & Thomas Schober, 2014. "Follow your Heart: Survival Chances and Costs after Heart Attacks - An Instrumental Variable Approach," Working Papers 2014-26, Faculty of Economics and Statistics, Universität Innsbruck.
    • Handle: RePEc:inn:wpaper:2014-26
    as

    Download full text from publisher

    File URL: https://www2.uibk.ac.at/downloads/c4041030/wpaper/2014-26.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Cutler, David M., 2007. "The lifetime costs and benefits of medical technology," Journal of Health Economics, Elsevier, vol. 26(6), pages 1081-1100, December.
    2. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    3. Avdic, Danie, 2015. "A matter of life and death? Hospital distance and quality of care: evidence from emergency hospital closures and myocardial infarctions," Working Paper Series 2015:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    4. Cutler, David, 2007. "The Lifetime Costs and Benefits of Medical Technology," Scholarly Articles 2643640, Harvard University Department of Economics.
    5. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Hentschker, C. & Wübker, A., 2016. "The impact of technology diffusion in health care markets - Evidence from heart attack treatment," Health, Econometrics and Data Group (HEDG) Working Papers 16/29, HEDG, c/o Department of Economics, University of York.
    2. R. Tamara Konetzka & Fan Yang & Rachel M. Werner, 2019. "Use of instrumental variables for endogenous treatment at the provider level," Health Economics, John Wiley & Sons, Ltd., vol. 28(5), pages 710-716, May.
    3. Corinna Hentschker & Ansgar Wübker, 2020. "Quasi-experimental evidence on the effectiveness of heart attack treatment in Germany," Applied Economics, Taylor & Francis Journals, vol. 52(50), pages 5531-5545, October.

    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. N. Meltem Daysal & Mircea Trandafir & Reyn van Ewijk, 2015. "Saving Lives at Birth: The Impact of Home Births on Infant Outcomes," American Economic Journal: Applied Economics, American Economic Association, vol. 7(3), pages 28-50, July.
    2. Pablo Celhay & Paul Gertler & Paula Giavagnoli & Christel Vermeersch, 2016. "Nudging Medical Providers to Adopt and Sustain Better Quality Care Practices," Natural Field Experiments 00537, The Field Experiments Website.
    3. S Anukriti & Catalina Herrera‐Almanza & Praveen K. Pathak & Mahesh Karra, 2020. "Curse of the Mummy‐ji: The Influence of Mothers‐in‐Law on Women in India†," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1328-1351, October.
    4. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    5. Asadul Islam & Dietrich K. Fausten, 2008. "Skilled Immigration and Wages in Australia," The Economic Record, The Economic Society of Australia, vol. 84(s1), pages 66-82, September.
    6. Peter G. Backus & Nicky L. Grant, 2019. "How sensitive is the average taxpayer to changes in the tax-price of giving?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(2), pages 317-356, April.
    7. Milo Bianchi & Paolo Buonanno & Paolo Pinotti, 2012. "Do Immigrants Cause Crime?," Journal of the European Economic Association, European Economic Association, vol. 10(6), pages 1318-1347, December.
    8. Ea Hoppe Blaabæk & Mads Meier Jæger & Joseph Molitoris, 2020. "Family Size and Educational Attainment: Cousins, Contexts, and Compensation," European Journal of Population, Springer;European Association for Population Studies, vol. 36(3), pages 575-600, July.
    9. Margaret Oppenheimer & Helen LaVan & William Martin, 2015. "A Framework for Understanding Ethical and Efficiency Issues in Pharmaceutical Intellectual Property Litigation," Journal of Business Ethics, Springer, vol. 132(3), pages 505-524, December.
    10. Moreno Gigi & van Eijndhoven Emma & Benner Jennifer & Sullivan Jeffrey, 2017. "The Long-Term Impact of Price Controls in Medicare Part D," Forum for Health Economics & Policy, De Gruyter, vol. 20(2), pages 1-56, December.
    11. Silles, Mary A., 2010. "The implications of family size and birth order for test scores and behavioral development," Economics of Education Review, Elsevier, vol. 29(5), pages 795-803, October.
    12. Shoya Ishimaru, 2024. "Empirical Decomposition of the IV-OLS Gap with Heterogeneous and Nonlinear Effects," The Review of Economics and Statistics, MIT Press, vol. 106(2), pages 505-520, March.
    13. Kuhn, Michael & Frankovic, Ivan & Wrzaczek, Stefan, 2017. "Medical Progress, Demand for Health Care, and Economic Performance," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168249, Verein für Socialpolitik / German Economic Association.
    14. Marco Caliendo & Stefan Tübbicke, 2020. "New evidence on long-term effects of start-up subsidies: matching estimates and their robustness," Empirical Economics, Springer, vol. 59(4), pages 1605-1631, October.
    15. David Figlio & Jens Ludwig, 2012. "Sex, Drugs, and Catholic Schools: Private Schooling and Non-Market Adolescent Behaviors," German Economic Review, Verein für Socialpolitik, vol. 13(4), pages 385-415, November.
    16. van Elk, Roel & van der Steeg, Marc & Webbink, Dinand, 2011. "Does the timing of tracking affect higher education completion?," Economics of Education Review, Elsevier, vol. 30(5), pages 1009-1021, October.
    17. Plamen Nikolov & Steve Yeh, 2021. "Reaping the Rewards Later: How Education Improves Old-Age Cognition in South Africa," Papers 2109.02177, arXiv.org, revised Oct 2021.
    18. Lauber, Verena & Thomas, Lampert, 2014. "The Effect of Early Universal Daycare on Child Weight Problems," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100399, Verein für Socialpolitik / German Economic Association.
    19. Li Mingliang & Tobias Justin L, 2006. "Bayesian Analysis of Structural Effects in an Ordered Equation System," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-24, December.
    20. Li, Jing, 2014. "The influence of state policy and proximity to medical services on health outcomes," Journal of Urban Economics, Elsevier, vol. 80(C), pages 97-109.

    More about this item

    Keywords

    Acute myocardial infarction; mortality; costs; instrumental variables;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:inn:wpaper:2014-26. 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: Janette Walde (email available below). General contact details of provider: https://edirc.repec.org/data/fuibkat.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.