IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v25y2016i7p801-815.html
   My bibliography  Save this article

Determinants of Regional Variation in Health Expenditures in Germany

Author

Listed:
  • Dirk Göpffarth
  • Thomas Kopetsch
  • Hendrik Schmitz

Abstract

Health care expenditure in Germany shows clear regional differences. Such geographic variations are often seen as an indicator for inefficiency. With its homogeneous health care system, low co‐payments and uniform prices, Germany is a particularly suited example to analyse regional variations. We use data for the year 2011 on expenditure, utilization of health services and state of health in Germany's statutory health insurance system. This data, which originate from a variety of administrative sources and cover about 90% of the population, are enriched with a wealth of socio‐economic variables, data on pollutants, prices and individual preferences. State of health and demography explains 55% of the differences as measured by the standard deviation while all control variables account for a total of 72% of the differences at county level. With other measures of variation, we can account for an even greater proportion. A higher proportion of variation than usually supposed can thus be explained. Whilst this study cannot quantify inefficiencies, our results contradict the thesis that regional variations reflect inefficiency. Copyright © 2015 John Wiley & Sons, Ltd.

Suggested Citation

  • Dirk Göpffarth & Thomas Kopetsch & Hendrik Schmitz, 2016. "Determinants of Regional Variation in Health Expenditures in Germany," Health Economics, John Wiley & Sons, Ltd., vol. 25(7), pages 801-815, July.
  • Handle: RePEc:wly:hlthec:v:25:y:2016:i:7:p:801-815
    DOI: 10.1002/hec.3183
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.3183
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hec.3183?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
    ---><---

    References listed on IDEAS

    as
    1. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    2. Victor R. Fuchs & Mark B. McClellan & Jonathan S. Skinner, 2004. "Area Differences in Utilization of Medical Care and Mortality among US Elderly," NBER Chapters, in: Perspectives on the Economics of Aging, pages 367-414, National Bureau of Economic Research, Inc.
    3. Owen O'Donnell & Eddy van Doorslaer & Adam Wagstaff & Magnus Lindelow, 2008. "Analyzing Health Equity Using Household Survey Data : A Guide to Techniques and Their Implementation," World Bank Publications - Books, The World Bank Group, number 6896, December.
    4. Amy Finkelstein & Sarah Taubman & Bill Wright & Mira Bernstein & Jonathan Gruber & Joseph P. Newhouse & Heidi Allen & Katherine Baicker, 2012. "The Oregon Health Insurance Experiment: Evidence from the First Year," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1057-1106.
    5. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    6. Eibich, Peter & Ziebarth, Nicolas R., 2014. "Analyzing regional variation in health care utilization using (rich) household microdata," Health Policy, Elsevier, vol. 114(1), pages 41-53.
    7. Peter Zweifel & Stefan Felder & Markus Meiers, 1999. "Ageing of population and health care expenditure: a red herring?," Health Economics, John Wiley & Sons, Ltd., vol. 8(6), pages 485-496, September.
    8. Eibich, Peter & Ziebarth, Nicolas R., 2014. "Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 305-320.
    9. Joseph J. Doyle, 2011. "Returns to Local-Area Health Care Spending: Evidence from Health Shocks to Patients Far from Home," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 221-243, July.
    10. Stefan Felder & Harald Tauchmann, 2013. "Federal state differentials in the efficiency of health production in Germany: an artifact of spatial dependence?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 21-39, February.
    11. David Cutler & Jonathan Skinner & Ariel Dora Stern & David Wennberg, 2013. "Physician Beliefs and Patient Preferences: A New Look at Regional Variation in Health Care Spending," NBER Working Papers 19320, National Bureau of Economic Research, Inc.
    12. Gusmano, Michael K. & Weisz, Daniel & Rodwin, Victor G. & Lang, Jonas & Qian, Meng & Bocquier, Aurelie & Moysan, Veronique & Verger, Pierre, 2014. "Disparities in access to health care in three French regions," Health Policy, Elsevier, vol. 114(1), pages 31-40.
    13. Thomas Kopetsch & Hendrik Schmitz, 2014. "Regional Variation In The Utilisation Of Ambulatory Services In Germany," Health Economics, John Wiley & Sons, Ltd., vol. 23(12), pages 1481-1492, December.
    14. Schmitz, Hendrik, 2013. "Practice budgets and the patient mix of physicians – The effect of a remuneration system reform on health care utilisation," Journal of Health Economics, Elsevier, vol. 32(6), pages 1240-1249.
    15. Louise Sheiner & David M. Cutler, 1999. "The Geography of Medicare," American Economic Review, American Economic Association, vol. 89(2), pages 228-233, May.
    16. Thomas Kopetsch, 2007. "Arztdichte und Inanspruchnahme ärztlicher Leistungen in Deutschland: Eine empirische Untersuchung der These von der angebotsinduzierten Nachfrage nach ambulanten Arztleistungen," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(3), pages 373-405.
    17. Mark R Cullen & Clint Cummins & Victor R Fuchs, 2012. "Geographic and Racial Variation in Premature Mortality in the U.S.: Analyzing the Disparities," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-13, April.
    18. Culyer, A. J. & Wagstaff, Adam, 1993. "Equity and equality in health and health care," Journal of Health Economics, Elsevier, vol. 12(4), pages 431-457, December.
    19. Andrew J. Rettenmaier & Zijun Wang, 2012. "Regional variations in medical spending and utilization: a longitudinal analysis of US Medicare population," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 67-82, February.
    20. Oliver Reich & Cornelia Weins & Claudia Schusterschitz & Magdalena Thöni, 2012. "Exploring the disparities of regional health care expenditures in Switzerland: some empirical evidence," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(2), pages 193-202, April.
    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. Schurer, Stefanie, 2017. "Bouncing back from health shocks: Locus of control and labor supply," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 1-20.
    2. Vidoli, Francesco & Auteri, Monica, 2022. "Health-care demand and supply at municipal level: A spatial disaggregation approach," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    3. Salm, Martin & Wübker, Ansgar, 2017. "Causes of regional variation in healthcare utilization in Germany," Ruhr Economic Papers 675, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Danny Wende, 2019. "Spatial risk adjustment between health insurances: using GWR in risk adjustment models to conserve incentives for service optimisation and reduce MAUP," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 1079-1091, September.
    5. Ana Moura & Martin Salm & Rudy Douven & Minke Remmerswaal, 2019. "Causes of regional variation in Dutch healthcare expenditures: Evidence from movers," Health Economics, John Wiley & Sons, Ltd., vol. 28(9), pages 1088-1098, September.
    6. Di Matteo, Livio & Cantarero-Prieto, David, 2018. "The Determinants of Public Health Expenditures: Comparing Canada and Spain," MPRA Paper 87800, University Library of Munich, Germany.
    7. Moura, Ana, 2021. "Essays in health economics," Other publications TiSEM c93abd22-fa4a-42a5-b172-d, Tilburg University, School of Economics and Management.
    8. Karmann Alexander & Weinhold Ines & Wende Danny, 2019. "Area Deprivation and its Impact on Population Health: Conceptual Aspects, Measurement and Evidence from Germany," Review of Economics, De Gruyter, vol. 70(1), pages 69-98, April.
    9. Jonas Krämer & Jonas Schreyögg, 2019. "Demand-side determinants of rising hospital admissions in Germany: the role of ageing," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(5), pages 715-728, July.
    10. Błażej Łyszczarz, 2018. "Determinanty wydatków na zdrowie w gospodarstwach domowych w Polsce," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 137-157.
    11. Constantinou, Panayotis & Tuppin, Philippe & Gastaldi-Ménager, Christelle & Pelletier-Fleury, Nathalie, 2022. "Defining a risk-adjustment formula for the introduction of population-based payments for primary care in France," Health Policy, Elsevier, vol. 126(9), pages 915-924.
    12. Jakub Cerveny & Jan C. van Ours, 2022. "Long-term returns to local health-care spending," Tinbergen Institute Discussion Papers 22-072/V, Tinbergen Institute.
    13. Andrea Riganti, 2021. "Containing costs in the Italian local healthcare market," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1001-1014, May.
    14. Wende, Danny & Kopetsch, Thomas & Richter, Wolfram F., 2020. "Planning health care capacities with a gravity equation," Ruhr Economic Papers 888, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Seghieri, Chiara & Berta, Paolo & Nuti, Sabina, 2019. "Geographic variation in inpatient costs for Acute Myocardial Infarction care: Insights from Italy," Health Policy, Elsevier, vol. 123(5), pages 449-456.
    16. Stefan Rabbe & Meilin Möllenkamp & Benedetta Pongiglione & Hedwig Blommestein & Pim Wetzelaer & Renaud Heine & Jonas Schreyögg, 2022. "Variation in the utilization of medical devices across Germany, Italy, and the Netherlands: A multilevel approach," Health Economics, John Wiley & Sons, Ltd., vol. 31(S1), pages 135-156, September.

    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. Thomas Kopetsch & Hendrik Schmitz, 2014. "Regional Variation In The Utilisation Of Ambulatory Services In Germany," Health Economics, John Wiley & Sons, Ltd., vol. 23(12), pages 1481-1492, December.
    2. Boris Augurzky & Thomas Kopetsch & Hendrik Schmitz, 2013. "What accounts for the regional differences in the utilisation of hospitals in Germany?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(4), pages 615-627, August.
    3. Rouven Edgar Haschka & Katharina Schley & Helmut Herwartz, 2020. "Provision of health care services and regional diversity in Germany: insights from a Bayesian health frontier analysis with spatial dependencies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(1), pages 55-71, February.
    4. Herwartz, Helmut & Schley, Katharina, 2018. "Improving health care service provision by adapting to regional diversity: An efficiency analysis for the case of Germany," Health Policy, Elsevier, vol. 122(3), pages 293-300.
    5. Salm, Martin & Wübker, Ansgar, 2017. "Causes of regional variation in healthcare utilization in Germany," Ruhr Economic Papers 675, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Katharina Schley, 2018. "Health care service provision in Europe and regional diversity: a stochastic metafrontier approach," Health Economics Review, Springer, vol. 8(1), pages 1-11, December.
    7. Mariacristina De Nardi & Eric French & John Bailey Jones, 2016. "Medicaid Insurance in Old Age," American Economic Review, American Economic Association, vol. 106(11), pages 3480-3520, November.
    8. Eibich, Peter & Ziebarth, Nicolas, 2014. "Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 49, pages 305-320.
    9. Danny Wende, 2019. "Spatial risk adjustment between health insurances: using GWR in risk adjustment models to conserve incentives for service optimisation and reduce MAUP," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 1079-1091, September.
    10. Nicolas R. Ziebarth, 2018. "Social Insurance and Health," Contributions to Economic Analysis, in: Health Econometrics, volume 127, pages 57-84, Emerald Group Publishing Limited.
    11. Salm, Martin & Wübker, Ansgar, 2020. "Sources of regional variation in healthcare utilization in Germany," Journal of Health Economics, Elsevier, vol. 69(C).
    12. Jung, Juergen & Tran, Chung, 2022. "Social health insurance: A quantitative exploration," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    13. Eric French & John Bailey Jones & Elaine Kelly & Jeremy McCauley, 2018. "End-of-Life Medical Expenses," Working Paper 18-18, Federal Reserve Bank of Richmond.
    14. Andree Ehlert & Dirk Oberschachtsiek, 2014. "Does managed care reduce health care expenditure? Evidence from spatial panel data," International Journal of Health Economics and Management, Springer, vol. 14(3), pages 207-227, September.
    15. Anne Mason & Idaira Rodriguez Santana & María José Aragón & Nigel Rice & Martin Chalkley & Raphael Wittenberg & Jose-Luis Fernandez, 2019. "Drivers of health care expenditure: Final report," Working Papers 169cherp, Centre for Health Economics, University of York.
    16. Makate, Marshall & Makate, Clifton, 2016. "The Evolution of Socioeconomic-Related Inequalities in Maternal Healthcare Utilization: Evidence from Zimbabwe, 1994-2011," MPRA Paper 83897, University Library of Munich, Germany, revised 12 Jan 2018.
    17. Mohammad Abu-Zaineh & Habiba Romdhane & Bruno Ventelou & Jean-Paul Moatti & Arfa Chokri, 2013. "Appraising financial protection in health: the case of Tunisia," International Journal of Health Economics and Management, Springer, vol. 13(1), pages 73-93, March.
    18. 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.
    19. Fitzsimons, Emla & Malde, Bansi & Mesnard, Alice & Vera-Hernández, Marcos, 2016. "Nutrition, information and household behavior: Experimental evidence from Malawi," Journal of Development Economics, Elsevier, vol. 122(C), pages 113-126.
    20. Felipa de Mello-Sampayo & Sofia de Sousa-Vale, 2014. "Financing Health Care Expenditure in the OECD Countries: Evidence from a Heterogeneous, Cross-Sectional Dependent Panel," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 207-225, March.

    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:wly:hlthec:v:25:y:2016:i:7:p:801-815. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    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.