IDEAS home Printed from https://ideas.repec.org/a/bla/labour/v36y2022i2p231-250.html

What drives trust of the long‐term unemployed in their caseworkers?

Author

Listed:
  • Joachim Wilde

Abstract

Research about drivers of trust of the long‐term unemployed in their caseworkers is a white spot in the literature. The paper closes this gap using a unique data set. Embedded in a theoretical model at the organizational level a trust game with real long‐term unemployed and caseworkers is evaluated. The results support the social identity theory, i.e. trust in members of the ‘own’ group is higher than trust in members of the ‘other’ group, as well as more traditional explanations of trust. Thus, policy can raise trust using the concept of incentive ethics of the theoretical model.

Suggested Citation

  • Joachim Wilde, 2022. "What drives trust of the long‐term unemployed in their caseworkers?," LABOUR, CEIS, vol. 36(2), pages 231-250, June.
    • Handle: RePEc:bla:labour:v:36:y:2022:i:2:p:231-250
    DOI: 10.1111/labr.12218
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/labr.12218
    Download Restriction: no
    File URL: https://libkey.io/10.1111/labr.12218?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. 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. Andrew Leigh, 2006. "Trust, Inequality and Ethnic Heterogeneity," The Economic Record, The Economic Society of Australia, vol. 82(258), pages 268-280, September.
    3. Greiner, Ben & Zednik, Anita, 2019. "Trust and age: An experiment with current and former students," Economics Letters, Elsevier, vol. 181(C), pages 37-39.
    4. Ville Vehkasalo, 2020. "Effects of face-to-face counselling on unemployment rate and duration: evidence from a Public Employment Service reform," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-14, December.
    5. Niels Michalski & Jürgen Schupp, 2009. "Sozialer Rohstoff: "Den meisten Menschen kann man vertrauen."," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 76(34), pages 570-579.
    6. repec:iab:iabjlr:v:54:i:1:p:art.11 is not listed on IDEAS
    7. 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.
    8. van den Berg, Gerard J. & Kesternich, Iris & Müller, Gerrit & Siflinger, Bettina M., 2024. "Reciprocity and the interaction between the unemployed and the caseworker," Journal of Economic Behavior & Organization, Elsevier, vol. 227(C).
    9. Ernst Fehr, 2009. "On The Economics and Biology of Trust," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 235-266, 04-05.
    10. Vehkasalo, Ville, 2020. "Effects of face-to-face counselling on unemployment rate and duration: evidence from a Public Employment Service reform," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 54(1), pages 1-11.
    11. Martin Huber & Michael Lechner & Giovanni Mellace, 2017. "Why Do Tougher Caseworkers Increase Employment? The Role of Program Assignment as a Causal Mechanism," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 180-183, March.
    12. repec:diw:diwwpp:dp319 is not listed on IDEAS
    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. Joachim Wilde, 2020. "What drives trust of long-term unemployed in their caseworkers? An empirical analysis using experimental data," IEER Working Papers 118, Institute of Empirical Economic Research, Osnabrueck University.
    2. Michael C Knaus & Michael Lechner & Anthony Strittmatter, 2021. "Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 134-161.
    3. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    4. Böheim, René & Eppel, Rainer & Mahringer, Helmut, 2023. "The impact of lower caseloads in public employment services on the unemployed," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-31.
    5. Wifo, 2017. "WIFO-Monatsberichte, Heft 6/2017," WIFO Monatsberichte (monthly reports), WIFO, vol. 90(6), June.
    6. Michael C. Knaus & Michael Lechner & Anthony Strittmatter, 2022. "Heterogeneous Employment Effects of Job Search Programs: A Machine Learning Approach," Journal of Human Resources, University of Wisconsin Press, vol. 57(2), pages 597-636.
    7. 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.
    8. Patrick Arni & Gerard J. van den Berg & Rafael Lalive, 2022. "Treatment Versus Regime Effects of Carrots and Sticks," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 111-127, January.
    9. Rainer Eppel & Marian Fink & Helmut Mahringer, 2016. "Die Wirkung zentraler Interventionen des AMS im Prozess der Vermittlung von Arbeitslosen," WIFO Studies, WIFO, number 59029, October.
    10. van den Berg, Gerard J. & Kesternich, Iris & Müller, Gerrit & Siflinger, Bettina M., 2024. "Reciprocity and the interaction between the unemployed and the caseworker," Journal of Economic Behavior & Organization, Elsevier, vol. 227(C).
    11. Kyyrä, Tomi & Verho, Jouko, 2025. "Do Financial Incentives for Training and Caseworker Meetings Enhance Re-employment?," Working Papers 175, VATT Institute for Economic Research.
    12. Jonas Maibom & Michael Rosholm & Michael Svarer, 2017. "Experimental Evidence on the Effects of Early Meetings and Activation," Scandinavian Journal of Economics, Wiley Blackwell, vol. 119(3), pages 541-570, July.
    13. Nina Granqvist & Pathric Hägglund & Stina Jakobsson, 2017. "Caseworkers’ attitudes: Do they matter?," Empirical Economics, Springer, vol. 52(4), pages 1271-1288, June.
    14. Vikström, Johan & Söderström, Martin & Cederlöf, Jonas, 2021. "What makes a good caseworker?," Working Paper Series 2021:9, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    15. Amelie Schiprowski, 2020. "The Role of Caseworkers in Unemployment Insurance: Evidence from Unplanned Absences," Journal of Labor Economics, University of Chicago Press, vol. 38(4), pages 1189-1225.
    16. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    17. Jussi Huuskonen, 2023. "The impact of periodic interviews on unemployment duration: Evidence from the 2017 Finnish reform," LABOUR, CEIS, vol. 37(3), pages 468-490, September.
    18. Martin Huber & Michael Lechner & Giovanni Mellace, 2016. "The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 139-160, January.
    19. Daniel Montoya Herrera & Marc Willinger, 2025. "Are risk-tolerant individuals more trustful? A representative sample study," Post-Print hal-05234962, HAL.
    20. Lechner, Michael, 2018. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," IZA Discussion Papers 12040, Institute of Labor Economics (IZA).

    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:bla:labour:v:36:y:2022:i:2:p:231-250. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/csrotit.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.