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. Alexandra Fedorets & Franziska Lottmann & Michael Stops, 2019. "Job matching in connected regional and occupational labour markets," Regional Studies, Taylor & Francis Journals, vol. 53(8), pages 1085-1098, August.
    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. 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.
    4. 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..
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. Seán Ó Riain & Amy Erbe Healy, 2024. "Workplace regimes in Western Europe, 1995–2015: Implications for intensification, intrusion, income and insecurity," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 45(2), pages 415-446, May.
    10. Christian Pfeifer & Joachim Wagner, 2014. "Is innovative firm behavior correlated with age and gender composition of the workforce? Evidence from a new type of data for German enterprises [Besteht ein Zusammenhang zwischen dem Innovationsve," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 47(3), pages 223-231, September.
    11. Edoardo Bressanelli & Christel Koop & Christine Reh, 2016. "The impact of informalisation: Early agreements and voting cohesion in the European Parliament," European Union Politics, , vol. 17(1), pages 91-113, March.
    12. Breustedt, Gunnar & Schulz, Norbert & Latacz-Lohmann, Uwe, 2013. "Kalibrierung von Vertragsnaturschutzprogrammen mittels eines zweistufigen Discrete-Choice-Experimentes," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 62(04), pages 1-17, November.
    13. Jung Hur & Hea-Jung Hyun, 2011. "Who Goes Where and How? Firm Heterogeneity in the Choice of FDI Type and Location," Working Papers 1105, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    14. Faria, Andr & Mauro, Paolo, 2009. "Institutions and the external capital structure of countries," Journal of International Money and Finance, Elsevier, vol. 28(3), pages 367-391, April.
    15. Renata Baborska & Emilio Hernandez & Emiliano Magrini & Cristian Morales-Opazo, 2020. "The impact of financial inclusion on rural food security experience: A perspective from low-and middle-income countries," Review of Development Finance Journal, Chartered Institute of Development Finance, vol. 10(2), pages 1-18.
    16. Ito, Seiro & Watanabe, Mariko & Yanagawa, Noriyuki, 2007. "Financial Aspects of Transactions with FDI: Trade Credit Provision by SMEs in China," IDE Discussion Papers 99, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    17. Costa-Font, Joan & Vilaplana-Prieto, Cristina, 2022. "Health shocks and housing downsizing: How persistent is ‘ageing in place’?," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 490-508.
    18. A. Yeşim Orhun & Sriram Venkataraman & Pradeep K. Chintagunta, 2016. "Impact of Competition on Product Decisions: Movie Choices of Exhibitors," Marketing Science, INFORMS, vol. 35(1), pages 73-92, January.
    19. Goetz, Martin R. & Laeven, Luc & Levine, Ross, 2016. "Does the geographic expansion of banks reduce risk?," Journal of Financial Economics, Elsevier, vol. 120(2), pages 346-362.
    20. Joachim Wagner, 2009. "Exporte und Firmenerfolg: Welche Firmen profitieren wie vom internationalen Handel?," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 3(2), pages 109-122, October.

    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.