IDEAS home Printed from https://ideas.repec.org/a/uwp/jhriss/v59y2024i4p1284-1318.html
   My bibliography  Save this article

Do Microcredentials Help New Workers Enter the Market? Evidence from an Online Labor Platform

Author

Listed:
  • Otto Kässi
  • Vili Lehdonvirta

Abstract

We investigate the effects of a voluntary microcredentialing scheme on an online freelancing labor market. Drawing on transaction†level data, we show that obtaining a microcredential increases workers’ earnings. This effect is not driven by increased worker productivity but by decreased employer uncertainty. The increase in worker earnings is realized through an increase in the value of the projects won rather than an increase in the number of projects. We also find that the effect of microcredentials is lower for more experienced workers, which suggests that signaling by microcredentials and other forms of verified information are partial substitutes.

Suggested Citation

  • Otto Kässi & Vili Lehdonvirta, 2024. "Do Microcredentials Help New Workers Enter the Market? Evidence from an Online Labor Platform," Journal of Human Resources, University of Wisconsin Press, vol. 59(4), pages 1284-1318.
  • Handle: RePEc:uwp:jhriss:v:59:y:2024:i:4:p:1284-1318
    Note: DOI: https://doi.org/10.3368/jhr.0519-10226R3
    as

    Download full text from publisher

    File URL: http://jhr.uwpress.org/cgi/reprint/59/4/1284
    Download Restriction: A subscripton is required to access pdf files. Pay per article is available.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lechner, Michael & Wunsch, Conny, 2013. "Sensitivity of matching-based program evaluations to the availability of control variables," Labour Economics, Elsevier, vol. 21(C), pages 111-121.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. John J. Horton, 2017. "The Effects of Algorithmic Labor Market Recommendations: Evidence from a Field Experiment," Journal of Labor Economics, University of Chicago Press, vol. 35(2), pages 345-385.
    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. Marco Caliendo & Stefan Tübbicke, 2020. "New evidence on long-term effects of start-up subsidies: matching estimates and their robustness," Empirical Economics, Springer, vol. 59(4), pages 1605-1631, October.
    2. Bernhard Boockmann & Tobias Brändle, 2019. "Coaching, Counseling, Case‐Working: Do They Help the Older Unemployed Out of Benefit Receipt and Back Into the Labor Market?," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 436-468, November.
    3. Nilsen, Øivind A. & Raknerud, Arvid, 2024. "Dynamics of first-time patenting firms," Research Policy, Elsevier, vol. 53(8).
    4. Fredrik Andersson & Harry J. Holzer & Julia I. Lane & David Rosenblum & Jeffrey Smith, 2024. "Does Federally Funded Job Training Work? Nonexperimental Estimates of WIA Training Impacts Using Longitudinal Data on Workers and Firms," Journal of Human Resources, University of Wisconsin Press, vol. 59(4), pages 1244-1283.
    5. Pauline Leung & Zhuan Pei,, 2020. "Further Education During Unemployment," Working Papers 642, Princeton University, Department of Economics, Industrial Relations Section..
    6. Muller, Paul & van der Klaauw, Bas & Heyma, Arjan, 2017. "Comparing Econometric Methods to Empirically Evaluate Job-Search Assistance," IZA Discussion Papers 10531, Institute of Labor Economics (IZA).
    7. Doerr Annabelle & Strittmatter Anthony, 2021. "Identifying Causal Channels of Policy Reforms with Multiple Treatments and Different Types of Selection," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 67-88, January.
    8. Yonatan Eyal, 2020. "Self-Assessment Variables as a Source of Information in the Evaluation of Intervention Programs: A Theoretical and Methodological Framework," SAGE Open, , vol. 10(1), pages 21582440198, January.
    9. Cole, Matthew A. & Elliott, Robert J.R. & Okubo, Toshihiro & Zhang, Liyun, 2021. "Importing, outsourcing and pollution offshoring," Energy Economics, Elsevier, vol. 103(C).
    10. Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
    11. Barbara Sianesi, 2014. "Dealing with randomisation bias in a social experiment: the case of ERA," IFS Working Papers W14/10, Institute for Fiscal Studies.
    12. Nilsen, Øivind A. & Raknerud, Arvid & Iancu, Diana-Cristina, 2020. "Public R&D support and firm performance: A multivariate dose-response analysis," Research Policy, Elsevier, vol. 49(7).
    13. Matthew A. COLE & Robert R.J. ELLIOTT & OKUBO Toshihiro & Liyun ZHANG, 2017. "The Pollution Outsourcing Hypothesis: An empirical test for Japan," Discussion papers 17096, Research Institute of Economy, Trade and Industry (RIETI).
    14. Céline Odding & Lucy Kok & Lennart Kroon & Marloes Lammers, 2024. "From Unemployed to Self-Employed: Analysis of Treatment Effects of a Dutch Self-Employment Programme," De Economist, Springer, vol. 172(1), pages 49-99, March.
    15. Burlat, Héloïse, 2024. "Everybody’s got to learn sometime? A causal machine learning evaluation of training programmes for jobseekers in France," Labour Economics, Elsevier, vol. 89(C).
    16. Joseph, Olivier & Pailhé, Ariane & Recotillet, Isabelle & Solaz, Anne, 2013. "The economic impact of taking short parental leave: Evaluation of a French reform," Labour Economics, Elsevier, vol. 25(C), pages 63-75.
    17. Paul Muller & Bas van der Klaauw & Arjan Heyma, 2020. "Comparing econometric methods to empirically evaluate activation programs for job seekers," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 526-547, August.
    18. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    19. Lechner, Michael, 2018. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," IZA Discussion Papers 12040, Institute of Labor Economics (IZA).
    20. González-Uribe, Juanita & Reyes, Santiago, 2021. "Identifying and boosting “Gazelles”: Evidence from business accelerators," Journal of Financial Economics, Elsevier, vol. 139(1), pages 260-287.

    More about this item

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • I2 - Health, Education, and Welfare - - Education

    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:uwp:jhriss:v:59:y:2024:i:4:p:1284-1318. 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: the person in charge (email available below). General contact details of provider: http://jhr.uwpress.org/ .

    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.