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Exploring Variations in Healthcare Expenditures – What is the Role of Practice Styles?

Author

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  • Alexander Ahammer
  • Thomas Schober

Abstract

Variations in the use of medical resources, both across and within geographical regions, have been widely documented. Whenever these variations cannot be explained by differences in patient needs or preferences, they may result in some individuals being over-treated, while others are under-treated, thus raising questions on the equity and efficiency of healthcare systems. One explanation for these variations is differences in medical practice styles; that is, physicians may develop their own treatment patterns based on their beliefs about the efficacy of medical interventions. We use a large administrative data set from Upper Austria to study the practice styles among primary care physicians. We decompose the use of healthcare services into patient characteristics, patient and physician fixed effects, and stochastic health shocks. Physician fixed effects are interpreted as a measure of practice styles, which are then related to observable physician characteristics and to attributes of the local healthcare sector.

Suggested Citation

  • Alexander Ahammer & Thomas Schober, 2017. "Exploring Variations in Healthcare Expenditures – What is the Role of Practice Styles?," CDL Aging, Health, Labor working papers 2017-03, The Christian Doppler (CD) Laboratory Aging, Health, and the Labor Market, Johannes Kepler University Linz, Austria.
  • Handle: RePEc:jku:cdlwps:wp1703
    Note: English
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    2. Andreas Steinmayr & Manuel Rossi, 2022. "Vaccine-skeptic physicians and COVID-19 vaccination rates," Working Papers 2022-16, Faculty of Economics and Statistics, Universität Innsbruck.
    3. Irene Torrini & Claudio Lucifora & Antonio Giampiero Russo, 2025. "Age, morbidity, and time to death: End-of-life expenditures on health care for the young-old population," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 26(6), pages 1079-1099, August.
    4. Emely Ek Blæhr & Beatriz Gallo Cordoba & Niels Skipper & Rikke Søgaard, 2024. "Variation in Psychiatric Hospitalisations: A Multiple-Membership Multiple-Classification Analysis," IJERPH, MDPI, vol. 21(8), pages 1-26, July.
    5. Olivia Bodnar & Hugh Gravelle & Nils Gutacker & Annika Herr, 2024. "Financial incentives and prescribing behavior in primary care," Health Economics, John Wiley & Sons, Ltd., vol. 33(4), pages 696-713, April.
    6. Tamara Bischof & Boris Kaiser, 2021. "Who cares when you close down? The effects of primary care practice closures on patients," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2004-2025, September.
    7. Ivan Badinski & Amy Finkelstein & Matthew Gentzkow & Peter Hull, 2023. "Geographic Variation in Healthcare Utilization: The Role of Physicians," NBER Working Papers 31749, National Bureau of Economic Research, Inc.
    8. Andreas Steinmayr & Manuel Rossi, 2024. "Vaccine‐skeptic physicians and patient vaccination decisions," Health Economics, John Wiley & Sons, Ltd., vol. 33(3), pages 509-525, March.
    9. Alexander Ahammer, 2016. "How Physicians Affect Patients’ Employment Outcomes Through Deciding on Sick Leave Durations," CDL Aging, Health, Labor working papers 2016-04, The Christian Doppler (CD) Laboratory Aging, Health, and the Labor Market, Johannes Kepler University Linz, Austria.
    10. Alexander Ahammer, 2018. "Physicians, sick leave certificates, and patients' subsequent employment outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 923-936, June.
    11. Alexander Ahammer & Ivan Zilic, 2017. "Do Financial Incentives Alter Physician Prescription Behavior? Evidence from Random Patient-GP Allocations," Working Papers 1701, The Institute of Economics, Zagreb.
    12. Feras Kasabji & Alaa Alrajo & Ferenc Vincze & László Kőrösi & Róza Ádány & János Sándor, 2020. "Self-Declared Roma Ethnicity and Health Insurance Expenditures: A Nationwide Cross-Sectional Investigation at the General Medical Practice Level in Hungary," IJERPH, MDPI, vol. 17(23), pages 1-17, December.

    More about this item

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    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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