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Caseworkers’ attitudes: Do they matter?

Author

Listed:
  • Nina Granqvist

    (The Swedish Social Insurance Inspectorate (ISF))

  • Pathric Hägglund

    (The Swedish National Audit Office
    Swedish Institute for Social Research)

  • Stina Jakobsson

    (Unionen)

Abstract

The caseworkers in public insurance systems possess considerable discretion in terms of making decisions. This creates scope for preferences and attitudes to reflect on initiatives taken during sick leave and on individuals’ return to work. This paper utilizes a unique caseworker–individual data set in the public sickness insurance (SI) in Sweden to analyze the impact of caseworkers’ attitudes towards SI rules and rehabilitation programs promoting individuals’ return to work. We find that a positive attitude towards SI rules increased return to work by 3 %, or 3.5 days, after comparing the 25 % most positive caseworkers with the 25 % least positive. Also, a positive attitude towards existing rehabilitation methods reduced return to work by about 2.5 %, or 3 days.

Suggested Citation

  • Nina Granqvist & Pathric Hägglund & Stina Jakobsson, 2017. "Caseworkers’ attitudes: Do they matter?," Empirical Economics, Springer, vol. 52(4), pages 1271-1288, June.
    • Handle: RePEc:spr:empeco:v:52:y:2017:i:4:d:10.1007_s00181-016-1117-1
    DOI: 10.1007/s00181-016-1117-1
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    References listed on IDEAS

    as
    1. Stefanie Behncke & Markus Frölich & Michael Lechner, 2010. "A Caseworker Like Me - Does The Similarity Between The Unemployed and Their Caseworkers Increase Job Placements?," Economic Journal, Royal Economic Society, vol. 120(549), pages 1430-1459, December.
    2. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    3. Stefanie Behncke & Markus Frölich & Michael Lechner, 2010. "Unemployed and their caseworkers: should they be friends or foes?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(1), pages 67-92, January.
    4. Per Johansson & Erica Lindahl, 2013. "Can sickness absence be affected by information meetings? Evidence from a social experiment," Empirical Economics, Springer, vol. 44(3), pages 1673-1695, June.
    5. Per Engström & Pathric Hägglund & Per Johansson, 2017. "Early Interventions and Disability Insurance: Experience from a Field Experiment," Economic Journal, Royal Economic Society, vol. 127(600), pages 363-392, March.
    6. Hesselius, Patrik & Johansson, Per & Larsson, Laura, 2005. "Monitoring sickness insurance claimants: evidence from a social experiment," Working Paper Series 2005:15, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. N. N., 2017. "WIFO-Monatsberichte, Heft 6/2017," WIFO Monatsberichte (monthly reports), WIFO, vol. 90(6), June.
    2. Alpino, Matteo & Hauge, Karen Evelyn & Kotsadam, Andreas & Markussen, Simen, 2022. "Effects of dialogue meetings on sickness absence—Evidence from a large field experiment," Journal of Health Economics, Elsevier, vol. 83(C).
    3. Ulrike Huemer & Rainer Eppel & Marion Kogler & Helmut Mahringer & Lukas Schmoigl & David Pichler, 2021. "Effektivität von Instrumenten der aktiven Arbeitsmarktpolitik in unterschiedlichen Konjunkturphasen," WIFO Studies, WIFO, number 67250.
    4. Rainer Eppel & Helmut Mahringer & Petra Sauer, 2017. "Österreich 2025 – Arbeitslosigkeit und die Rolle der aktiven Arbeitsmarktpolitik," WIFO Monatsberichte (monthly reports), WIFO, vol. 90(6), pages 493-505, June.

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    More about this item

    Keywords

    Public sickness insurance; Treatment effects; Caseworker attitudes; Sick-leave duration;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

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