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Do On-Line Labor Market Intermediaries Matter? The Impact of AlmaLaurea on the University-to-Work Transition

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  • Manuel F. Bagues
  • Mauro Sylos Labini

Abstract

This paper evaluates the impact of the availability of electronic labor markets on the university-to-work transition. In particular, we analyze the effect of the intermediation activity carried on by the inter-university consortium, AlmaLaurea, on graduates' labor market outcomes. The different timing of universities' enrollment in AlmaLaurea allows us to apply the difference-in-differences method to a repeated cross section data set. If the usual assumption concerning parallel outcomes holds, AlmaLaurea reduces the individual unemployment probability and improves matching quality. Interestingly, we also find that on-line intermediaries foster graduates' geographic mobility.

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  • Manuel F. Bagues & Mauro Sylos Labini, 2007. "Do On-Line Labor Market Intermediaries Matter? The Impact of AlmaLaurea on the University-to-Work Transition," NBER Working Papers 13621, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:13621
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    1. Christopher A. Pissarides, 2000. "Equilibrium Unemployment Theory, 2nd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262161877, April.
    2. Burdett, Kenneth & Ondrich, Jan I, 1985. "How Changes in Labor Demand Affect Unemployed Workers," Journal of Labor Economics, University of Chicago Press, vol. 3(1), pages 1-10, January.
    3. 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.
    4. David H. Autor, 2001. "Wiring the Labor Market," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 25-40, Winter.
    5. 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.
    6. Rebick, Marcus E, 2000. "The Importance of Networks in the Market for University Graduates in Japan: A Longitudinal Analysis of Hiring Patterns," Oxford Economic Papers, Oxford University Press, vol. 52(3), pages 471-496, July.
    7. 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.
    8. Richard B. Freeman, 2002. "The Labour Market in the New Information Economy," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 18(3), pages 288-305.
    9. Manuel Bagues & Mauro Sylos Labini & Natalia Zinovyeva, 2008. "Differential Grading Standards and University Funding: Evidence from Italy," CESifo Economic Studies, CESifo Group, vol. 54(2), pages 149-176.
    10. Peter Kuhn & Mikal Skuterud, 2004. "Internet Job Search and Unemployment Durations," American Economic Review, American Economic Association, vol. 94(1), pages 218-232, March.
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    Cited by:

    1. Tito Boeri & Pietro Garibaldi & Espen R. Moen, 2014. "Financial Constraints in Search Equilibrium: Mortensen and Pissarides Meet Holmstrom and Tirole," CEP Discussion Papers dp1317, Centre for Economic Performance, LSE.
    2. Yoonyoung Cho & Soohyung Lee, 2021. "How to Improve Worker–Firm Matching: Evidence from a Temporary Foreign Worker Market," Korean Economic Review, Korean Economic Association, vol. 37, pages 419-454.
    3. Morgane Laouenan & Roland Rathelot, 2017. "Ethnic Discrimination on an Online Marketplace of Vacation Rental," Working Papers hal-01514713, HAL.
    4. Oyer, Paul & Schaefer, Scott, 2011. "Personnel Economics: Hiring and Incentives," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 20, pages 1769-1823, Elsevier.
    5. Alexander Murray, 2010. "The State of Knowledge on the Role and Impact of Labour Market Information: A Survey of the International Evidence," CSLS Research Reports 2010-05, Centre for the Study of Living Standards.
    6. Floro Ernesto Caroleo & Francesco Pastore, 2018. "Overeducation at a Glance. Determinants and Wage Effects of the Educational Mismatch Based on AlmaLaurea Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(3), pages 999-1032, June.
    7. 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.
    8. Brenčič, Vera, 2024. "Terms of use and network size: Evidence from online job boards and CV banks in the U.S," Information Economics and Policy, Elsevier, vol. 67(C).
    9. MARIANA Viollaz & Hernan Winkler, 2022. "Does the Internet Reduce Gender Gaps? The Case of Jordan," Journal of Development Studies, Taylor & Francis Journals, vol. 58(3), pages 436-453, March.
    10. Lutgen, Vanessa & Van der Linden, Bruno, 2015. "Regional equilibrium unemployment theory at the age of the Internet," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 50-67.
    11. Modestino, Alicia Sasser & Shoag, Daniel & Ballance, Joshua, 2016. "Downskilling: changes in employer skill requirements over the business cycle," Labour Economics, Elsevier, vol. 41(C), pages 333-347.
    12. Cho, Yoon Y. & Lee, Soohyung, 2021. "How to Improve Worker-Firm Matching: Evidence from a Temporary Foreign Worker Market," IZA Discussion Papers 14328, Institute of Labor Economics (IZA).
    13. Paolo Ghinetti & Simone Moriconi, 2013. "The Wage Return to Graduate in Italian Small-town Universities," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2013(1), pages 39-53.
    14. Christopher T. Stanton & Catherine Thomas, 2016. "Landing the First Job: The Value of Intermediaries in Online Hiring," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(2), pages 810-854.
    15. Brenčič, Vera, 2014. "Search online: Evidence from acquisition of information on online job boards and resume banks," Journal of Economic Psychology, Elsevier, vol. 42(C), pages 112-125.
    16. Andrew Sharpe & Alexander Murray, 2011. "The State of Private Sector Electronic Labour Exchange Services in Canada," CSLS Research Reports 2011-01, Centre for the Study of Living Standards.
    17. Choi, Eleanor Jawon, 2023. "Does the internet help the unemployed find jobs?," Information Economics and Policy, Elsevier, vol. 62(C).
    18. P. Lovaglio & S. Verzillo, 2016. "Heterogeneous economic returns to higher education: evidence from Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 791-822, March.
    19. Aurora Ricci & Francesca Crivellaro & Daniela Bolzani, 2021. "Perceived Employability of Highly Skilled Migrant Women in STEM: Insights from Labor Market Intermediaries’ Professionals," Administrative Sciences, MDPI, vol. 11(1), pages 1-17, January.
    20. Joshua Ballance & Alicia Sasser Modestino & Daniel Shoag, 2015. "Upskilling: do employers demand greater skill when skilled workers are plentiful?," Working Papers 14-17, Federal Reserve Bank of Boston.
    21. repec:ehl:lserod:59069 is not listed on IDEAS

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    More about this item

    JEL classification:

    • 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
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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