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Digital Labor-Market Intermediation and Job Expectations: Evidence from a Field Experiment

Author

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  • Dammert, Ana C.

    (Carleton University)

  • Galdo, Jose C.

    (Carleton University)

  • Galdo, Virgilio

    (World Bank)

Abstract

Subjective expectations are fundamental for understanding individual behavior. Yet, little is known about how individuals use new information to formulate and update their subjective expectations. In this study, we exploit data from a multi-treatment field experiment to investigate how job-market information sent to jobseekers via short text messages (SMS) influence subjective job gain expectations in Peru. Results show that jobseekers who received digital intermediation based on a large information set increased their before-after job gain expectations relative to the control group. Independently of the information channel, no significant effects were found when labor-market intermediation is based on a restricted (short) set of information.

Suggested Citation

  • Dammert, Ana C. & Galdo, Jose C. & Galdo, Virgilio, 2013. "Digital Labor-Market Intermediation and Job Expectations: Evidence from a Field Experiment," IZA Discussion Papers 7395, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp7395
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Ma, W. & Grafton, Q. & Renwick, A., 2018. "Gender and Income Effects of Smartphone Use: The Case of Rural China," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277310, International Association of Agricultural Economists.
    3. Beam, Emily A., 2016. "Do job fairs matter? Experimental evidence on the impact of job-fair attendance," Journal of Development Economics, Elsevier, vol. 120(C), pages 32-40.
    4. Bruno Crépon & Gerard J. van den Berg, 2016. "Active Labor Market Policies," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 521-546, October.
    5. Ma, Wanglin & Renwick, Alan & Nie, Peng & Tang, Jianjun & Cai, Rong, 2018. "Off-farm work, smartphone use and household income: Evidence from rural China," China Economic Review, Elsevier, vol. 52(C), pages 80-94.
    6. Wanglin Ma & R. Quentin Grafton & Alan Renwick, 2020. "Smartphone use and income growth in rural China: empirical results and policy implications," Electronic Commerce Research, Springer, vol. 20(4), pages 713-736, December.
    7. Tang, Li & Zhang, Teng & Wang, Jinglang & Liu, Baoliu & Huang, Yujie, 2025. "“Dual synergistic” transformation and corporate total factor productivity: Empirical evidence from China," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 717-732.
    8. Rebecca Hartje & Michael Hübler, 2017. "Smartphones support smart labour," Applied Economics Letters, Taylor & Francis Journals, vol. 24(7), pages 467-471, April.
    9. Peng Nie & Wanglin Ma & Alfonso Sousa-Poza, 2021. "The relationship between smartphone use and subjective well-being in rural China," Electronic Commerce Research, Springer, vol. 21(4), pages 983-1009, December.
    10. María E Dávalos & Giorgia Demarchi & Indhira Santos & Barbara Kits & Isil Oral, 2016. "Voices of Europe and Central Asia," World Bank Publications - Reports 25361, The World Bank Group.
    11. Laurel Wheeler & Robert Garlick & Eric Johnson & Patrick Shaw & Marissa Gargano, 2022. "LinkedIn(to) Job Opportunities: Experimental Evidence from Job Readiness Training," American Economic Journal: Applied Economics, American Economic Association, vol. 14(2), pages 101-125, April.

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    Keywords

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    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

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