IDEAS home Printed from https://ideas.repec.org/a/spr/jlabrs/v57y2023i1d10.1186_s12651-023-00330-1.html
   My bibliography  Save this article

Return to work after medical rehabilitation in Germany: influence of individual factors and regional labour market based on administrative data

Author

Listed:
  • Christian Hetzel

    (Institute for Quality Assurance in Prevention and Rehabilitation at the German Sport University in Cologne)

  • Sarah Leinberger

    (Institute for Research in Rehabilitation Medicine at Ulm University)

  • Rainer Kaluscha

    (Institute for Research in Rehabilitation Medicine at Ulm University)

  • Angela Kranzmann

    (Federal German Pension Insurance)

  • Nadine Schmidt

    (Federal German Pension Insurance)

  • Anke Mitschele

    (Federal German Pension Insurance)

Abstract

Background The influence of both individual factors and, in particular, the regional labour market on the return to work after medical rehabilitation is to be analyzed based on comprehensive administrative data from the German Pension Insurance and Employment Agencies. Method For rehabilitation in 2016, pre- and post-rehabilitation employment was determined from German Pension Insurance data for 305,980 patients in 589 orthopaedic rehabilitation departments and 117,386 patients in 202 psychosomatic rehabilitation departments. Labour market data was linked to the district of residence and categorized into 257 labour market regions. RTW was operationalized as the number of employment days in the calendar year after medical rehabilitation. Predictors are individual data (socio-demographics, rehabilitation biography, employment biography) and contextual data (regional unemployment rate, rehabilitation department level: percentage of patients employed before). The estimation method used was fractional logit regression in a cross-classified multilevel model. Results The effect of the regional unemployment rate on RTW is significant yet small. It is even smaller (orthopaedics) or not significant (psychosomatics) when individual employment biographies (i.e., pre-rehabilitation employment status) are inserted into the model as the most important predictors. The interaction with pre-rehabilitation employment status is not substantial. Conclusions Database and methods are of high quality, however due to the nonexperimental design, omitted variables could lead to bias and limit causal interpretation. The influence of the labour market on RTW is small and proxied to a large extent by individual employment biographies. However, if no (valid) employment biographies are available, the labour market should be included in RTW analyses.

Suggested Citation

  • Christian Hetzel & Sarah Leinberger & Rainer Kaluscha & Angela Kranzmann & Nadine Schmidt & Anke Mitschele, 2023. "Return to work after medical rehabilitation in Germany: influence of individual factors and regional labour market based on administrative data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-14, December.
    • Handle: RePEc:spr:jlabrs:v:57:y:2023:i:1:d:10.1186_s12651-023-00330-1
    DOI: 10.1186/s12651-023-00330-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s12651-023-00330-1
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1186/s12651-023-00330-1?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. Fedorets, Alexandra & Lottmann, Franziska & Stops, Michael, 2019. "Job matching in connected regional and occupational labour markets," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 53(8), pages 1085-1098.
    2. Taina Leinonen & Svetlana Solovieva & Kirsti Husgafvel-Pursiainen & Mikko Laaksonen & Eira Viikari-Juntura, 2019. "Do individual and work-related factors differentiate work participation trajectories before and after vocational rehabilitation?," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-19, February.
    3. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    4. Kolmar, Martin, 2007. "Beveridge versus Bismarck public-pension systems in integrated markets," Regional Science and Urban Economics, Elsevier, vol. 37(6), pages 649-669, November.
    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. Jinsuk Yang & Qing Hao & Mahmut Yaşar, 2023. "Institutional investors and cross‐border mergers and acquisitions: The 2000–2018 period," International Review of Finance, International Review of Finance Ltd., vol. 23(3), pages 553-583, September.
    2. Alexander Klein & Karl Gunnar Persson & Paul Sharp, 2023. "Populism and the first wave of globalization: Evidence from the 1892 US presidential election," Rivista di storia economica, Società editrice il Mulino, issue 2, pages 163-202.
    3. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    4. Giuliani, Elisa & Martinelli, Arianna & Rabellotti, Roberta, 2016. "Is Co-Invention Expediting Technological Catch Up? A Study of Collaboration between Emerging Country Firms and EU Inventors," World Development, Elsevier, vol. 77(C), pages 192-205.
    5. Matthias Schmid & Florian Wickler & Kelly O Maloney & Richard Mitchell & Nora Fenske & Andreas Mayr, 2013. "Boosted Beta Regression," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-15, April.
    6. Christophe Hurlin & Jérémy Leymarie & Antoine Patin, 2018. "Loss functions for LGD model comparison," Working Papers halshs-01516147, HAL.
    7. Blackburn, McKinley L. & Vermilyea, Todd, 2012. "The prevalence and impact of misstated incomes on mortgage loan applications," Journal of Housing Economics, Elsevier, vol. 21(2), pages 151-168.
    8. de Rassenfosse, Gaétan, 2013. "Do firms face a trade-off between the quantity and the quality of their inventions?," Research Policy, Elsevier, vol. 42(5), pages 1072-1079.
    9. Mazen Hassan & Sarah Mansour & Stefan Voigt & May Gadallah, 2022. "When Syria was in Egypt’s land: Egyptians cooperate with Syrians, but less with each other," Public Choice, Springer, vol. 191(3), pages 337-362, June.
    10. Qun Bao & Jiuli Huang & Yanling Wang, 2015. "Productivity and Firms’ Sales Destination: Chinese Characteristics," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 620-637, August.
    11. Alessandro Barattieri & Matteo Cacciatore, 2023. "Self-Harming Trade Policy? Protectionism and Production Networks," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 97-128, April.
    12. Meyer, Ina & Kaniovski, Serguei & Scheffran, Jürgen, 2012. "Scenarios for regional passenger car fleets and their CO2 emissions," Energy Policy, Elsevier, vol. 41(C), pages 66-74.
    13. Ingo Geishecker & Philipp J. H. Schröder & Allan S⊘rensen, 2019. "One‐off export events," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(1), pages 93-131, February.
    14. Dawson Chris & Veliziotis Michail & Hopkins Benjamin, 2014. "Assimilation of the migrant work ethic," Working Papers 20141407, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    15. Nicole M. Mason & Thomas S. Jayne & Nicolas van de Walle, 2017. "The Political Economy of Fertilizer Subsidy Programs in Africa: Evidence from Zambia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 705-731.
    16. Massimiliano Affinito & Matteo Piazza, 2021. "Always Look on the Bright Side? Central Counterparties and Interbank Markets during the Financial Crisis," International Journal of Central Banking, International Journal of Central Banking, vol. 17(1), pages 231-283, March.
    17. Piyapas Tharavanij, 2007. "Capital Market, Frequency Of Recession, And Fraction Of Time The Economy In Recession," Monash Economics Working Papers 34-07, Monash University, Department of Economics.
    18. Du Caju, Philip & Fuss, Catherine & Wintr, Ladislav, 2009. "Understanding sectoral differences in downward real wage rigidity: workforce composition, institutions, technology and competition," Working Paper Series 1006, European Central Bank.
    19. Young Hoon Lee & Jigyu Chung & Joonho Kang, 2012. "Ex Ante and Ex Post Expectation of Outcome Uncertainty and Television Viewership of a Baseball Game," Working Papers 1206, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    20. Kassie, Menale & Fisher, Monica & Muricho, Geoffrey & Diiro, Gracious, 2020. "Women’s empowerment boosts the gains in dietary diversity from agricultural technology adoption in rural Kenya," Food Policy, Elsevier, vol. 95(C).

    More about this item

    Keywords

    Return to work; Labour market; Rehabilitation; Orthopaedic; Psychosomatic;
    All these keywords.

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

    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:spr:jlabrs:v:57:y:2023:i:1:d:10.1186_s12651-023-00330-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.