IDEAS home Printed from https://ideas.repec.org/a/spr/jlabrs/v54y2020i1d10.1186_s12651-020-00276-8.html
   My bibliography  Save this article

Effects of face-to-face counselling on unemployment rate and duration: evidence from a Public Employment Service reform

Author

Listed:
  • Ville Vehkasalo

    (National Audit Office of Finland)

Abstract

In a Public Employment Service reform implemented in 2013, sixty Finnish municipalities experienced an involuntary employment office closure. The Government’s objective was to replace traditional face-to-face employment counselling with modern online counselling and simultaneously generate savings in outlays. The reform created natural experiment circumstances that allowed us to estimate the aggregate causal effects of face-to-face counselling and advice. We estimated the effects of the reform on the unemployment rate and the average unemployment duration using municipality-level panel data and various panel data estimators. We found that while the reform had a barely discernible effect on municipal unemployment rates, it increased average unemployment durations by 2–3 weeks. Hence, face-to-face counselling and online counselling are not perfect substitutes in decreasing the length of unemployment spells. Consequently, the fiscal costs of the reform outweigh the fiscal benefits by a large margin.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:jlabrs:v:54:y:2020:i:1:d:10.1186_s12651-020-00276-8
    DOI: 10.1186/s12651-020-00276-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s12651-020-00276-8
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1186/s12651-020-00276-8?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. 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.
    2. Gerard J. van den Berg & Bas van der Klaauw, 2006. "Counseling And Monitoring Of Unemployed Workers: Theory And Evidence From A Controlled Social Experiment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(3), pages 895-936, August.
    3. Bruno, CREPON & Muriel, DEJEMEPPE & Marc, GURGAND, 2005. "Counseling the unemployed : does it lower unemployment duration and recurrence ?," Discussion Papers (ECON - Département des Sciences Economiques) 2005034, Université catholique de Louvain, Département des Sciences Economiques.
    4. Kory Kroft & Devin G. Pope, 2014. "Does Online Search Crowd Out Traditional Search and Improve Matching Efficiency? Evidence from Craigslist," Journal of Labor Economics, University of Chicago Press, vol. 32(2), pages 259-303.
    5. Peter Kuhn & Mikal Skuterud, 2004. "Internet Job Search and Unemployment Durations," American Economic Review, American Economic Association, vol. 94(1), pages 218-232, March.
    6. Peter Kuhn & Hani Mansour, 2014. "Is Internet Job Search Still Ineffective?," Economic Journal, Royal Economic Society, vol. 124(581), pages 1213-1233, December.
    7. Robert Breunig & Deborah A. Cobb‐Clark & Yvonne Dunlop & Marion Terrill, 2003. "Assisting the Long‐Term Unemployed: Results from a Randomised Trial," The Economic Record, The Economic Society of Australia, vol. 79(244), pages 84-102, March.
    8. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    9. Betsey Stevenson, 2009. "The Internet and Job Search," NBER Chapters, in: Studies of Labor Market Intermediation, pages 67-86, National Bureau of Economic Research, Inc.
    10. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    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.
    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. 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 .11(1-14).
    2. repec:iab:iabjlr:v:54:i:1:p:art.11 is not listed on IDEAS
    3. 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.
    4. Choi, Eleanor Jawon, 2023. "Does the internet help the unemployed find jobs?," Information Economics and Policy, Elsevier, vol. 62(C).
    5. Gürtzgen, Nicole & (né Nolte), André Diegmann & Pohlan, Laura & van den Berg, Gerard J., 2021. "Do digital information technologies help unemployed job seekers find a job? Evidence from the broadband internet expansion in Germany," European Economic Review, Elsevier, vol. 132(C).
    6. Czernich, Nina, 2014. "Does broadband internet reduce the unemployment rate? Evidence for Germany," Information Economics and Policy, Elsevier, vol. 29(C), pages 32-45.
    7. R. Jason Faberman & Marianna Kudlyak, 2019. "The Intensity of Job Search and Search Duration," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(3), pages 327-357, July.
    8. Ana Dammert & Jose Galdo & Virgilio Galdo, 2015. "Integrating mobile phone technologies into labor-market intermediation: a multi-treatment experimental design," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-27, December.
    9. Denzer, Manuel & Schank, Thorsten & Upward, Richard, 2021. "Does the internet increase the job finding rate? Evidence from a period of expansion in internet use," Information Economics and Policy, Elsevier, vol. 55(C).
    10. Bhuller, Manudeep & Kostøl, Andreas & Vigtel, Trond Christian, 2019. "How Broadband Internet Affects Labor Market Matching," Memorandum 10/2019, Oslo University, Department of Economics.
    11. Manuel F. Bagues & Mauro Sylos Labini, 2009. "Do Online Labor Market Intermediaries Matter? The Impact of "AlmaLaurea" on the University-to-Work Transition," NBER Chapters, in: Studies of Labor Market Intermediation, pages 127-154, National Bureau of Economic Research, Inc.
    12. Andriana Bellou, 2015. "The impact of Internet diffusion on marriage rates: evidence from the broadband market," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(2), pages 265-297, April.
    13. Denzer, Manuel & Schank, Thorsten & Upward, Richard, 2018. "Does the Internet Increase the Job Finding Rate? Evidence from a Period of Internet Expansion," IZA Discussion Papers 11764, Institute of Labor Economics (IZA).
    14. Briscese, Guglielmo & Zanella, Giulio & Quinn, Veronica, 2020. "Improving Job Search Skills: A Field Experiment on Online Employment Assistance," IZA Discussion Papers 13170, Institute of Labor Economics (IZA).
    15. Ehrenfried, Felix & Holzner, Christian, 2019. "Dynamics and endogeneity of firms’ recruitment behaviour," Labour Economics, Elsevier, vol. 57(C), pages 63-84.
    16. Harald Mayr, 2022. "Cheap search, picky workers? Evidence from a field experiment," ECON - Working Papers 403, Department of Economics - University of Zurich.
    17. Emmanuel Duguet & Florent Frémigacci & Yannick L’Horty, 2008. "Indemnisation du chômage et retour à l’emploi : un examen économétrique," Documents de recherche 08-07, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    18. Tuhkuri, Joonas, 2016. "Forecasting Unemployment with Google Searches," ETLA Working Papers 35, The Research Institute of the Finnish Economy.
    19. Lisa J. Dettling, 2013. "Broadband in the labor market: The impact of residential high speed internet on married women's labor force participation," Finance and Economics Discussion Series 2013-65, Board of Governors of the Federal Reserve System (U.S.).
    20. Parag A. Pathak & Alvin E. Roth, 2013. "Matching with Couples: Stability and Incentives in Large Markets," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1585-1632.
    21. Naomi E. Feldman & Peter Katuscak & Laura Kawano, 2013. "Taxpayer confusion over predictable tax liability changes: evidence from the Child Tax Credit," Finance and Economics Discussion Series 2013-66, Board of Governors of the Federal Reserve System (U.S.).

    More about this item

    Keywords

    Counselling; Reform; Unemployment; Microdata;
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • H76 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Other Expenditure Categories
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:54:y:2020:i:1:d:10.1186_s12651-020-00276-8. 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.