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Online Job Search and Matching Quality

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  • Constantin Mang

Abstract

The Internet has fundamentally changed the way workers and firms are matched on the job market. Compared to newspapers and other traditional employment resources, online job boards presumably lead to better matches by providing a wider choice of job advertisements and more sophisticated methods for finding suitable vacancies. This study investigates the association of online job search and matching quality using individual-level data from the German Socio-Economic Panel (SOEP). My results show that job changers who found their new job online are better matched than their counterparts who found their new job through newspapers, friends, job agencies, or other channels.

Suggested Citation

  • Constantin Mang, 2012. "Online Job Search and Matching Quality," ifo Working Paper Series 147, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    • Handle: RePEc:ces:ifowps:_147
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    1. Clark, William, 1988. "Production Costs and Output Qualities in Public and Private Employment Agencies," Journal of Law and Economics, University of Chicago Press, vol. 31(2), pages 379-393, October.
    2. Holzer, Harry J, 1988. "Search Method Use by Unemployed Youth," Journal of Labor Economics, University of Chicago Press, vol. 6(1), pages 1-20, January.
    3. Linda Datcher Loury, 2006. "Some Contacts Are More Equal than Others: Informal Networks, Job Tenure, and Wages," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 299-318, April.
    4. Ferreira, Priscila & Taylor, Mark, 2011. "Measuring match quality using subjective data," Economics Letters, Elsevier, vol. 113(3), pages 304-306.
    5. Williams, Donald R., 2000. "Consequences of self-employment for women and men in the United States," Labour Economics, Elsevier, vol. 7(5), pages 665-687, September.
    6. Jacob Mincer & Solomon Polachek, 1974. "Family Investments in Human Capital: Earnings of Women," NBER Chapters, in: Marriage, Family, Human Capital, and Fertility, pages 76-110, National Bureau of Economic Research, Inc.
    7. John T. Addison & Pedro Portugal, 2002. "Job search methods and outcomes," Oxford Economic Papers, Oxford University Press, vol. 54(3), pages 505-533, July.
    8. Peter Kuhn & Hani Mansour, 2014. "Is Internet Job Search Still Ineffective?," Economic Journal, Royal Economic Society, vol. 124(581), pages 1213-1233, December.
    9. 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.
    10. Mário Centeno, 2004. "The Match Quality Gains from Unemployment Insurance," Journal of Human Resources, University of Wisconsin Press, vol. 39(3).
    11. Fairlie Robert W, 2004. "Race and the Digital Divide," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 3(1), pages 1-38, September.
    12. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    13. van Ours, Jan C. & Vodopivec, Milan, 2008. "Does reducing unemployment insurance generosity reduce job match quality?," Journal of Public Economics, Elsevier, vol. 92(3-4), pages 684-695, April.
    14. David H. Autor, 2001. "Wiring the Labor Market," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 25-40, Winter.
    15. Zweifel, Peter & Zaborowski, Christoph, 1996. "Employment Service: Public or Private?," Public Choice, Springer, vol. 89(1-2), pages 131-162, October.
    16. 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.
    17. Simon, Curtis J & Warner, John T, 1992. "Matchmaker, Matchmaker: The Effect of Old Boy Networks on Job Match Quality, Earnings, and Tenure," Journal of Labor Economics, University of Chicago Press, vol. 10(3), pages 306-330, July.
    18. Bowlus, Audra J, 1995. "Matching Workers and Jobs: Cyclical Fluctuations in Match Quality," Journal of Labor Economics, University of Chicago Press, vol. 13(2), pages 335-350, April.
    19. Czernich, Nina, 2011. "Broadband Infrastructure and Unemployment - Evidence for Germany," Discussion Papers in Economics 12279, University of Munich, Department of Economics.
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    Cited by:

    1. 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).
    2. Nadine Fabritz, 2013. "The Impact of Broadband on Economic Activity in Rural Areas: Evidence from German Municipalities," ifo Working Paper Series 166, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    3. Gürtzgen, Nicole & Lochner, Benjamin & Pohlan, Laura & van den Berg, Gerard J., 2021. "Does online search improve the match quality of new hires?," Labour Economics, Elsevier, vol. 70(C).
    4. Stockinger, Bastian, 2017. "The effect of broadband internet on establishments' employment growth: evidence from Germany," IAB-Discussion Paper 201719, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    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. Fabo, B., 2017. "Towards an understanding of job matching using web data," Other publications TiSEM b8b877f2-ae6a-495f-b6cc-9, Tilburg University, School of Economics and Management.
    7. Bastian Stockinger, 2019. "Broadband internet availability and establishments’ employment growth in Germany: evidence from instrumental variables estimations," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 53(1), pages 1-23, December.
    8. Ma, Li & Li, Xiumin & Pan, Yu, 2024. "Employee allocation efficiency in the context of the digital economy: Evidence from “Broadband China” demonstration cities," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 735-752.
    9. Bobeica, Elena & Koester, Gerrit & Lis, Eliza & Nickel, Christiane & Porqueddu, Mario, 2019. "Understanding low wage growth in the euro area and European countries," Occasional Paper Series 232, European Central Bank.
    10. Xin Zhao & Yishuo Jiao & Dan Wu, 2022. "The impact of Internet use on labor wage distortions: Empirical Evidence From China," SAGE Open, , vol. 12(2), pages 21582440221, May.
    11. Rainer Eppel & Helmut Mahringer & Andrea Weber, 2014. "Job Search Behaviour and Job Search Success of the Unemployed," WIFO Working Papers 471, WIFO.
    12. Adam Ayaita & Christian Grund & Lisa Pütz, 2022. "Job Placement via Private vs. Public Employment Agencies: Investigating Selection Effects and Job Match Quality in Germany," Schmalenbach Journal of Business Research, Springer, vol. 74(2), pages 137-162, June.
    13. Denzer, Manuel, 2018. "Does the internet increase the job finding rate? Evidence from a period of internet expansion," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181557, Verein für Socialpolitik / German Economic Association.
    14. Lucia Kureková & Miroslav Beblavý & Anna Thum-Thysen, 2015. "Using online vacancies and web surveys to analyse the labour market: a methodological inquiry," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-20, December.
    15. Czernich, Nina, 2014. "Does broadband internet reduce the unemployment rate? Evidence for Germany," Information Economics and Policy, Elsevier, vol. 29(C), pages 32-45.
    16. 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).
    17. Nadine Fabritz, 2015. "Investment in ICT: Determinants and Economic Implications," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 60.
    18. Philippe Askenazy & Verónica Escudero, 2022. "Dimension géographique des inégalités d’accès à l’emploi," Post-Print halshs-03801734, HAL.
    19. Hernan Galperin & M. Fernanda Viecens, 2017. "Connected for Development? Theory and evidence about the impact of Internet technologies on poverty alleviation," Development Policy Review, Overseas Development Institute, vol. 35(3), pages 315-336, May.
    20. Kureková, Lucia Mýtna & Beblavy, Miroslav & Thum, Anna-Elisabeth, 2014. "Using Internet Data to Analyse the Labour Market: A Methodological Enquiry," IZA Discussion Papers 8555, Institute of Labor Economics (IZA).

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    More about this item

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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