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LinkedIn(to) Job Opportunities: Experimental Evidence from Job Readiness Training

Author

Listed:
  • Laurel Wheeler
  • Robert Garlick
  • Eric Johnson
  • Patrick Shaw
  • Marissa Gargano

Abstract

Online professional networking platforms are widely used and may help workers to search for and obtain jobs. We run the first randomized evaluation of training work seekers to join and use one of the largest platforms, LinkedIn. Training increases the end-of-program employment rate by 10 percent (7 percentage points), and this effect persists for at least 12 months. The available employment, platform use, and job search data suggest that employment effects are explained by work seekers using the platform to acquire information about prospective employers and perhaps by work seekers accessing referrals and conveying information to prospective employers on the platform.

Suggested Citation

  • 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.
  • Handle: RePEc:aea:aejapp:v:14:y:2022:i:2:p:101-25
    DOI: 10.1257/app.20200025
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    Cited by:

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    2. Kiss, Andrea & Garlick, Robert & Orkin, Kate & Hensel, Lukas, 2023. "Jobseekers' Beliefs about Comparative Advantage and (Mis)Directed Search," IZA Discussion Papers 16522, Institute of Labor Economics (IZA).
    3. Chakravorty, Bhaskar & Bhatiya, Apurav Yash & Imbert, Clément & Lohnert, Maximilian & Panda, Poonam & Rathelot, Roland, 2021. "Impact of COVID-19 Crisis on Rural Youth: Evidence from a Panel Survey and an Experiment," GLO Discussion Paper Series 909, Global Labor Organization (GLO).
    4. Didier Nibbering & Matthijs Oosterveen, 2023. "Instrument-based estimation of full treatment effects with movers," Papers 2306.07018, arXiv.org.
    5. Hensel, Lukas & Tekleselassie, Tsegay & Witte, Marc J., 2021. "Formalized Employee Search and Labor Demand," IZA Discussion Papers 14839, Institute of Labor Economics (IZA).
    6. Chakravorty, Bhaskar & Bhatiya, Apurav Yash & Imbert, Clément & Lohnert, Maximilian & Panda, Poonam & Rathelot, Roland, 2023. "Impact of the COVID-19 crisis on India’s rural youth: Evidence from a panel survey and an experiment," World Development, Elsevier, vol. 168(C).
    7. Afridi, Farzana & Dhillon, Amrita & Roy, Sanchari & Sangwan, Nikita, 2023. "Social Networks, Gender Norms and Labor Supply: Experimental Evidence Using a Job Search Platform," CAGE Online Working Paper Series 677, Competitive Advantage in the Global Economy (CAGE).

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    More about this item

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • 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
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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