IDEAS home Printed from https://ideas.repec.org/p/crm/wpaper/26115.html

Motivating Job Seekers. A Field Experiment

Author

Listed:
  • Bart Cockx
  • Johan Egebark
  • Greet van Hoye
  • Emilie Videnord
  • Johan Vikström

Abstract

Reduced motivation among jobseekers over the unemployment spell may lead to declining job-finding rates. We report findings from a low-cost digital intervention with motivational emails aimed at enhancing and sustaining motivation and search effort among job seekers in Sweden. Using a randomized controlled trial that included 200,720 job seekers, we evaluate both carrot messages aimed at encouraging the pursuit of personal goals and intrinsic motivation and stick messages focusing on external pressure and constraints. A large share of job seekers opened the emails, and they triggered behavioral responses. Both types of messages backfired, reducing search effort and job-finding rates. The carrot messages reduced both the number of job applications and job finding, particularly among men. One likely explanation is that these messages signal to job seekers that the Public Employment Service was less controlling than initially perceived, prompting a reduction in effort. The stick messages backfired for job seekers who, at the onset of unemployment, reported that they were motivated by an inner drive rather than by constraints. These findings underscore the challenges of motivating job seekers to actively search for jobs and suggest that low-cost digital interventions, in isolation, are inadequate and may even be counterproductive.

Suggested Citation

  • Bart Cockx & Johan Egebark & Greet van Hoye & Emilie Videnord & Johan Vikström, 2026. "Motivating Job Seekers. A Field Experiment," RFBerlin Discussion Paper Series 26115, ROCKWOOL Foundation Berlin (RFBerlin).
  • Handle: RePEc:crm:wpaper:26115
    as

    Download full text from publisher

    File URL: https://www.rfberlin.com/wp-content/uploads/2026/04/26115.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Rayees Farooq, 2022. "Heywood cases: possible causes and solutions," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 14(1), pages 79-88.
    2. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "High-Dimensional Methods and Inference on Structural and Treatment Effects," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 29-50, Spring.
    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. Gonzalez, Felipe & Prem, Mounu & von Dessauer, Cristine, 2023. "Empowerment or Indoctrination? Women Centers Under Dictatorship," SocArXiv 64mf9, Center for Open Science.
    2. Asanov, Anastasiya-Mariya & Asanov, Igor & Buenstorf, Guido, 2024. "A low-cost digital first aid tool to reduce psychological distress in refugees: A multi-country randomized controlled trial of self-help online in the first months after the invasion of Ukraine," Social Science & Medicine, Elsevier, vol. 362(C).
    3. Anil Kumar, 2018. "Do Restrictions on Home Equity Extraction Contribute to Lower Mortgage Defaults? Evidence from a Policy Discontinuity at the Texas Border," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 268-297, February.
    4. Yuexin Li & Xiaoyin Ma & Luc Renneboog, 2024. "In Art We Trust," Management Science, INFORMS, vol. 70(1), pages 98-127, January.
    5. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    6. Yoganathan, Vignesh & Osburg, Victoria-Sophie, 2024. "The mind in the machine: Estimating mind perception's effect on user satisfaction with voice-based conversational agents," Journal of Business Research, Elsevier, vol. 175(C).
    7. Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2020. "Optimal data collection for randomized control trials," The Econometrics Journal, Royal Economic Society, vol. 23(1), pages 1-31.
    8. Bakx, Pieter & Wouterse, Bram & van Doorslaer, Eddy & Wong, Albert, 2020. "Better off at home? Effects of nursing home eligibility on costs, hospitalizations and survival," Journal of Health Economics, Elsevier, vol. 73(C).
    9. Zhu, Manhong & Schmitz, Andrew & Schmitz, Troy G., "undated". "What are the Culprits Causing Obesity? A Machine Learning Approach in Variable Selection and Parameter Coefficient Inference," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 261220, Agricultural and Applied Economics Association.
    10. Daniele Chiavenato & Ricardo A. Madeira & Vitor Vaccaro, 2024. "Does financial education impact school attainment? Experimental evidence from Brazil," Nova SBE Working Paper Series wp666, Universidade Nova de Lisboa, Nova School of Business and Economics.
    11. Sabrin Beg & Waqas Halim & Adrienne M. Lucas & Umar Saif, 2022. "Engaging Teachers with Technology Increased Achievement, Bypassing Teachers Did Not," American Economic Journal: Economic Policy, American Economic Association, vol. 14(2), pages 61-90, May.
    12. Michael C. Knaus, 2021. "A double machine learning approach to estimate the effects of musical practice on student’s skills," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 282-300, January.
    13. Croux, Christophe & Jagtiani, Julapa & Korivi, Tarunsai & Vulanovic, Milos, 2020. "Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 270-296.
    14. Bernal, Carolina & Prem, Mounu & Vargas, Juan F. & Ortiz, Mónica, 2024. "Peaceful entry: Entrepreneurship dynamics during Colombia’s peace agreement," Journal of Development Economics, Elsevier, vol. 166(C).
    15. Juan F. Vargas & Miguel E. Purroy & Felipe Coy & Sergio Perilla & Mounu Prem, 2023. "Fear to Vote Explosions, Salience, and Elections," Documentos de Trabajo 20801, Universidad del Rosario.
    16. Berden, Carolien & Croes, R. & Kemp, R. & Mikkers, Misja & van der Noll, Rob & Shestalova, V. & Svitak, Jan, 2019. "Hospital Competition in the Netherlands : An Empirical Investigation," Discussion Paper 2019-008, Tilburg University, Tilburg Law and Economic Center.
    17. Gabriella Conti & Mark Hanson & Hazel Inskip & Sarah Crozier & Cyrus Cooper & Keith Godfrey, 2018. "Beyond Birth Weight: The Origins of Human Capital," Working Papers 2018-089, Human Capital and Economic Opportunity Working Group.
    18. Sander Gerritsen & Mark Kattenberg & Sonny Kuijpers, 2019. "The impact of age at arrival on education and mental health," CPB Discussion Paper 389.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    19. Clément de Chaisemartin & Nicolás Navarrete H., 2023. "The Direct and Spillover Effects of a Nationwide Socioemotional Learning Program for Disruptive Students," Journal of Labor Economics, University of Chicago Press, vol. 41(3), pages 729-769.
    20. Sviták, Jan & Tichem, Jan & Haasbeek, Stefan, 2021. "Price effects of search advertising restrictions," International Journal of Industrial Organization, Elsevier, vol. 77(C).

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:crm:wpaper:26115. 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: Moritz Lubczyk or Matthew Nibloe (email available below). General contact details of provider: https://edirc.repec.org/data/cmucluk.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.