IDEAS home Printed from https://ideas.repec.org/p/zbw/rwirep/300565.html
   My bibliography  Save this paper

Equal access to primary care: A reference for spatial allocation

Author

Listed:
  • Haering, Alexander
  • Kaeding, Matthias
  • Werbeck, Anna

Abstract

We study the regional distribution of primary care physicians in Germany to learn about the extent and possible reasons of geographic maldistribution. For this aim, we apply a greedy capacitated algorithm on very fine spatial data. We compare this reference allocation of primary care physicians to the status quo. Our results suggest that Germany has a shortage of primary care physicians of 6% which is particularly evident in rural areas. Some municipality characteristics like purchasing power and number of schools can explain parts of the difference in the number of physicians between cities and rural areas. Large parts, however, remain unexplained.

Suggested Citation

  • Haering, Alexander & Kaeding, Matthias & Werbeck, Anna, 2024. "Equal access to primary care: A reference for spatial allocation," Ruhr Economic Papers 1089, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    • Handle: RePEc:zbw:rwirep:300565
    DOI: 10.4419/96973266
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/300565/1/1895979439.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.4419/96973266?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. Hendrik Jürges, 2007. "Health insurance status and physician-induced demand for medical services in Germany: new evidence from combined district and individual level data," MEA discussion paper series 07119, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    2. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    3. Salm, Martin & Wübker, Ansgar, 2020. "Sources of regional variation in healthcare utilization in Germany," Journal of Health Economics, Elsevier, vol. 69(C).
    4. Ozegowski, Susanne & Sundmacher, Leonie, 2012. "Ensuring access to health care—Germany reforms supply structures to tackle inequalities," Health Policy, Elsevier, vol. 106(2), pages 105-109.
    5. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    6. Vogt, Verena, 2016. "The contribution of locational factors to regional variations in office-based physicians in Germany," Health Policy, Elsevier, vol. 120(2), pages 198-204.
    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. Benjamin Sosnaud, 2024. "Decomposition analysis of disparities in infant mortality rates across 27 US states," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 50(40), pages 1185-1222.
    2. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    3. Daniel A. Dias & Carlos Robalo Marques & Christine Richmond, 2020. "A Tale of Two Sectors: Why is Misallocation Higher in Services than in Manufacturing?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(2), pages 361-393, June.
    4. Brahim Boudarbat & Marie Connolly, 2013. "The gender wage gap among recent post‐secondary graduates in Canada: a distributional approach," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(3), pages 1037-1065, August.
    5. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    6. Silvia Vannutelli & Sergio Scicchitano & Marco Biagetti, 2022. "Routine-biased technological change and wage inequality: do workers’ perceptions matter?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 409-450, September.
    7. Bachmann, Ronald & Martinez Flores, Fernanda & Rulff, Christian, 2022. "Die Lohnlücke in der Zeitarbeit: Eine empirische Analyse auf Grundlage von BA-Daten und der Verdienststrukturerhebung," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 262219, Fall.
    8. Sánchez-Jabba, Andrés Mauricio, 2014. "Etnia y rendimiento académico en Colombia," Chapters, in: Sánchez Jabba, Andrés & Otero Cortés, Andrea (ed.), Educación y desarrollo regional en Colombia, chapter 2, pages 59-100, Banco de la Republica de Colombia.
    9. Sloczynski, Tymon, 2013. "Population Average Gender Effects," IZA Discussion Papers 7315, Institute of Labor Economics (IZA).
    10. Anna Manzoni & Jessi Streib, 2019. "The Equalizing Power of a College Degree for First-Generation College Students: Disparities Across Institutions, Majors, and Achievement Levels," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(5), pages 577-605, August.
    11. Ggombe Kasim Munyegera & Akampumuza Precious, 2018. "The gender gap in firm productivity in Rwanda: Evidence from establishment and household enterprise data," WIDER Working Paper Series wp-2018-100, World Institute for Development Economic Research (UNU-WIDER).
    12. Vassilis Monastiriotis & Angelo Martelli, 2021. "Crisis, Adjustment and Resilience in the Greek Labor Market: An Unemployment Decomposition Approach," International Regional Science Review, , vol. 44(1), pages 85-112, January.
    13. Brandon Vick, 2017. "Measuring links between labor monopsony and the gender pay gap in Brazil," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-28, December.
    14. Powers, Daniel A. & Yun, Myeong-Su, 2009. "Multivariate Decomposition for Hazard Rate Models," IZA Discussion Papers 3971, Institute of Labor Economics (IZA).
    15. Niels-Hugo Blunch & Maitreyi Bordia Das, 2015. "Changing norms about gender inequality in education: Evidence from Bangladesh," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(6), pages 183-218.
    16. Bryan, Mark & Bryce, Andrew & Rice, Nigel & Roberts, Jennifer & Sechel, Cristina, 2022. "Exploring mental health disability gaps in the labour market: the UK experience during COVID-19," Labour Economics, Elsevier, vol. 78(C).
    17. Bachmann, Ronald & Martinez Flores, Fernanda & Rulf, Christian, 2022. "Die Lohnlücke in der Zeitarbeit: Eine empirische Analyse auf Grundlage der Integrierten Erwerbsbiografien und der Verdienststrukturerhebung," RWI Materialien 153, RWI - Leibniz-Institut für Wirtschaftsforschung.
    18. Borau, Sylvie & Couprie, Hélène & Hopfensitz, Astrid, 2022. "The prosociality of married people: Evidence from a large multinational sample," Journal of Economic Psychology, Elsevier, vol. 92(C).
    19. Martin Gaechter & Peter Schwazer & Engelbert Theurl, 2012. "Stronger Sex but Earlier Death: A Multi-level Socioeconomic Analysis of Gender Differences in Mortality in Austria," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 1, pages 1-23, March.
    20. Peng Nie & Lanlin Ding & Alfonso Sousa-Poza, 2020. "What Chinese Workers Value: An Analysis of Job Satisfaction, Job Expectations, and Labour Turnover in China," Prague Economic Papers, Prague University of Economics and Business, vol. 2020(1), pages 85-104.

    More about this item

    Keywords

    Health and inequality; optimization techniques; regional economics;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

    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:zbw:rwirep:300565. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/rwiesde.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.