IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0212498.html
   My bibliography  Save this article

Do individual and work-related factors differentiate work participation trajectories before and after vocational rehabilitation?

Author

Listed:
  • Taina Leinonen
  • Svetlana Solovieva
  • Kirsti Husgafvel-Pursiainen
  • Mikko Laaksonen
  • Eira Viikari-Juntura

Abstract

Background: Understanding diverse labor market trajectories around vocational rehabilitation provides important insight into potential effectiveness of rehabilitation efforts. We examined factors associated with work participation trajectories before and after vocational rehabilitation. Methods: Using nationwide Finnish register data of 7180 vocational rehabilitees, we constructed latent trajectory groups of work participation two years before and two years after their rehabilitation episode starting in 2008–2010. We plotted changes in labor market statuses in these groups and examined other associated factors using multinomial logistic regression. Results: We identified four trajectories based on work participation levels before and after vocational rehabilitation. The “High–Resumed” group (35.6%) typically returned to full duties. The “High–to–Negligible” group (20.7%) typically transitioned to full disability retirement or unemployment. Among the “Medium–Resumed” (25.5%) and “Longstanding Negligible” (18.3%) groups, work disability and unemployment were common before rehabilitation, but afterwards those assigned to the former group often returned to full or partial duties. Overall, older age, male gender, living in areas with lower employment rates, having lower education, being employed in the private sector, and having mental diagnoses were associated with the other three trajectories than the most favorable “High-Resumed” trajectory. Furthermore, certain industrial sectors, job exposures, and less common diagnoses further separated specific trajectories. Conclusions: Work participation trajectories around vocational rehabilitation are diverse, only partly dependent on initial levels of work participation, and determined by various individual and work-related factors. Future nationwide studies should assess the effectiveness of vocational rehabilitation taking into consideration both individual and work-related factors.

Suggested Citation

  • 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.
    • Handle: RePEc:plo:pone00:0212498
    DOI: 10.1371/journal.pone.0212498
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212498
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0212498&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0212498?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. David Card & Jochen Kluve & Andrea Weber, 2018. "What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations," Journal of the European Economic Association, European Economic Association, vol. 16(3), pages 894-931.
    2. Svetlana Solovieva & Irmeli Pehkonen & Johanna Kausto & Helena Miranda & Rahman Shiri & Timo Kauppinen & Markku Heliövaara & Alex Burdorf & Kirsti Husgafvel-Pursiainen & Eira Viikari-Juntura, 2012. "Development and Validation of a Job Exposure Matrix for Physical Risk Factors in Low Back Pain," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.
    3. David Dean & John V. Pepper & Robert Schmidt & Steven Stern, 2017. "The Effects of Vocational Rehabilitation Services for People with Mental Illness," Journal of Human Resources, University of Wisconsin Press, vol. 52(3), pages 826-858.
    4. Svetlana Solovieva & Tiina Pensola & Johanna Kausto & Rahman Shiri & Markku Heliövaara & Alex Burdorf & Kirsti Husgafvel-Pursiainen & Eira Viikari-Juntura, 2014. "Evaluation of the Validity of Job Exposure Matrix for Psychosocial Factors at Work," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-9, September.
    5. David R. Mann & Todd Honeycutt & Michelle Stegman Bailey & John O’Neill, "undated". "Using Administrative Data to Explore the Employment and Benefit Receipt Outcomes of Vocational Rehabilitation Applicants Years after Program Exit," Mathematica Policy Research Reports d17c80e86e144284b2308c527, Mathematica Policy Research.
    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. 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.

    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. Martin Kerndler & Michael Reiter, 2020. "Wage Rigidities and Old-Age Unemployment," EconPol Policy Brief 22, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Burt S. Barnow & Jeffrey Smith, 2015. "Employment and Training Programs," NBER Chapters, in: Economics of Means-Tested Transfer Programs in the United States, Volume 2, pages 127-234, National Bureau of Economic Research, Inc.
    3. Leduc, Elisabeth & Tojerow, Ilan, 2020. "Subsidizing Domestic Services as a Tool to Fight Unemployment: Effectiveness and Hidden Costs," IZA Discussion Papers 13544, Institute of Labor Economics (IZA).
    4. Kim, Jinyoung & Kim, Seonghoon & Koh, Kanghyock, 2022. "Labor market institutions and the incidence of payroll taxation," Journal of Public Economics, Elsevier, vol. 209(C).
    5. Matthias Collischon & Kamila Cygan-Rehm & Regina T. Riphahn, 2021. "Employment effects of payroll tax subsidies," Small Business Economics, Springer, vol. 57(3), pages 1201-1219, October.
    6. Stefano DellaVigna & Elizabeth Linos, 2022. "RCTs to Scale: Comprehensive Evidence From Two Nudge Units," Econometrica, Econometric Society, vol. 90(1), pages 81-116, January.
    7. Stanley, T. D. & Doucouliagos, Chris, 2019. "Practical Significance, Meta-Analysis and the Credibility of Economics," IZA Discussion Papers 12458, Institute of Labor Economics (IZA).
    8. Anna Sokolova, 2023. "Marginal Propensity to Consume and Unemployment: a Meta-analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 813-846, December.
    9. James Browne & Herwig Immervoll & Rodrigo Fernandez & Dirk Neumann & Daniele Pacifico & Céline Thévenot, 2018. "Faces of joblessness in Ireland: A People-centred perspective on employment barriers and policies," OECD Social, Employment and Migration Working Papers 209, OECD Publishing.
    10. Girum Abebe & A Stefano Caria & Marcel Fafchamps & Paolo Falco & Simon Franklin & Simon Quinn, 2021. "Anonymity or Distance? Job Search and Labour Market Exclusion in a Growing African City [Endogenous Stratification in Randomized Experiments]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(3), pages 1279-1310.
    11. Fabrice Gilles & Yannick L'Horty & Ferhat Mihoubi, 2021. "The Effects of the Non-Financial Component of Business Accelerators," TEPP Working Paper 2021-06, TEPP.
    12. Sloczynski, Tymon, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," IZA Discussion Papers 13283, Institute of Labor Economics (IZA).
    13. Matti Sarvimäki, 2021. "Managing Refugee Protection Crises: Policy Lessons from Economics and Political Science," RF Berlin - CReAM Discussion Paper Series 2131, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    14. Michelle Yin & Garima Siwach & Dajun Lin, 2023. "Vocational Rehabilitation Services and Labor Market Outcomes for Transition‐Age Youth with Disabilities in Maine," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(1), pages 166-197, January.
    15. Oriana Bandiera & Ahmed Elsayed & Anton Heil & Andrea Smurra, 2022. "Economic Development and the Organisation Of Labour: Evidence from the Jobs of the World Project," Journal of the European Economic Association, European Economic Association, vol. 20(6), pages 2226-2270.
    16. World Bank, 2019. "Growth and Jobs in Slavonia, Baranja, and Srijem," World Bank Publications - Reports 34182, The World Bank Group.
    17. Marco Caliendo & Robert Mahlstedt & Gerard J. van den Berg & Johan Vikström, 2023. "Side effects of labor market policies," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(2), pages 339-375, April.
    18. Kenneth Fortson & Dana Rotz & Paul Burkander & Annalisa Mastri & Peter Schochet & Linda Rosenberg & Sheena McConnell & Ronald D'Amico, "undated". "Providing Public Workforce Services to Job Seekers: 30-Month Impact Findings on the WIA Adult and Dislocated Worker Programs," Mathematica Policy Research Reports 42e8b3550e40408f854b966d0, Mathematica Policy Research.
    19. Bruno Crépon & Gerard J. van den Berg, 2016. "Active Labor Market Policies," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 521-546, October.
    20. Acevedo, Paloma & Cruces, Guillermo & Gertler, Paul & Martinez, Sebastian, 2020. "How vocational education made women better off but left men behind," Labour Economics, Elsevier, vol. 65(C).

    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:plo:pone00:0212498. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.