IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/13886.html
   My bibliography  Save this paper

The Internet and Job Search

Author

Listed:
  • Betsey Stevenson

Abstract

This paper examines how the Internet has impacted job search behavior. Examining those who use the Internet for job seeking purposes, I show that the vast majority are currently employed. These employed job seekers are more likely to leave their current employer and are more likely to make an employment-to-employment transition. Examining the unemployed, I find that over the past ten years the variety of job search methods used by the unemployed has increased and job search behavior has become more extensive. Furthermore, the Internet has led to reallocation of effort among various job search activities.

Suggested Citation

  • Betsey Stevenson, 2008. "The Internet and Job Search," NBER Working Papers 13886, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:13886
    Note: LS
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w13886.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Blau, David M & Robins, Philip K, 1990. "Job Search Outcomes for the Employed and Unemployed," Journal of Political Economy, University of Chicago Press, vol. 98(3), pages 637-655, June.
    2. Jeffrey R. Brown & Austan Goolsbee, 2002. "Does the Internet Make Markets More Competitive? Evidence from the Life Insurance Industry," Journal of Political Economy, University of Chicago Press, vol. 110(3), pages 481-507, June.
    3. Bruce Fallick & Charles A. Fleischman, 2004. "Employer-to-employer flows in the U.S. labor market: the complete picture of gross worker flows," Finance and Economics Discussion Series 2004-34, Board of Governors of the Federal Reserve System (U.S.).
    4. Peter Kuhn & Mikal Skuterud, 2004. "Internet Job Search and Unemployment Durations," American Economic Review, American Economic Association, vol. 94(1), pages 218-232, March.
    5. Brigitte C. Madrian & Lars John Lefgren, 1999. "A Note on Longitudinally Matching Current Population Survey (CPS) Respondents," NBER Technical Working Papers 0247, National Bureau of Economic Research, Inc.
    6. David H. Autor, 2001. "Wiring the Labor Market," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 25-40, Winter.
    7. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
    8. Chris Forman & Avi Goldfarb & Shane Greenstein, 2002. "Digital Dispersion: An Industrial and Geographic Census of Commerical Internet Use," NBER Working Papers 9287, National Bureau of Economic Research, Inc.
    9. Chris Forman & Avi Goldfarb & Shane Greenstein, 2003. "How did Location Affect Adoption of the Commercial Internet? Global Village, Urban Density, and Industry Composition," NBER Working Papers 9979, National Bureau of Economic Research, Inc.
    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. Leonardo Fabio Morales & Carlos Ospino & Nicole Amaral, 2021. "Online Vacancies and its Role in Labor Market Performance," Borradores de Economia 1174, Banco de la Republica de Colombia.
    2. Choi, Eleanor Jawon, 2023. "Does the internet help the unemployed find jobs?," Information Economics and Policy, Elsevier, vol. 62(C).
    3. 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.
    4. 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.
    5. Marios Kokkodis, 2023. "Adjusting Skillset Cohesion in Online Labor Markets: Reputation Gains and Opportunity Losses," Information Systems Research, INFORMS, vol. 34(3), pages 1245-1258, September.
    6. Friedberg Leora & Owyang Michael T & Sinclair Tara M, 2006. "Searching For Better Prospects: Endogenizing Falling Job Tenure and Private Pension Coverage," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 6(1), pages 1-42, August.
    7. Rajiv Garg & Rahul Telang, 2018. "To Be or Not to Be Linked: Online Social Networks and Job Search by Unemployed Workforce," Management Science, INFORMS, vol. 64(8), pages 3926-3941, August.
    8. 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).
    9. Hilal Atasoy & Rajiv D. Banker & Paul A. Pavlou, 2021. "Information Technology Skills and Labor Market Outcomes for Workers," Information Systems Research, INFORMS, vol. 32(2), pages 437-461, June.
    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.
    11. Marios Kokkodis, 2021. "Dynamic, Multidimensional, and Skillset-Specific Reputation Systems for Online Work," Information Systems Research, INFORMS, vol. 32(3), pages 688-712, September.
    12. Edward P. Lazear & Kathryn L. Shaw & Christopher T. Stanton, 2016. "Who Gets Hired? The Importance of Finding an Open Slot," NBER Working Papers 22202, National Bureau of Economic Research, Inc.
    13. Hilal Atasoy, 2011. "IICT Skills and Employment Opportunities," Working Papers 11-24, NET Institute, revised Nov 2011.
    14. 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.
    15. Marios Kokkodis & Panagiotis G. Ipeirotis, 2021. "Demand-Aware Career Path Recommendations: A Reinforcement Learning Approach," Management Science, INFORMS, vol. 67(7), pages 4362-4383, July.
    16. Rainer Eppel & Helmut Mahringer & Andrea Weber, 2014. "Job Search Behaviour and Job Search Success of the Unemployed," WIFO Working Papers 471, WIFO.
    17. Piotr Lewandowski & Pawel Chrostek & Jan Baran & Iga Magda & Maciej Lis & Anna Pankowiec & Piotr Szczerba & Maciej Bitner & Magdalena Kaminska, 2014. "Employment in Poland 2013. Labour in the Age of Structural Change," Books and Reports published by IBS, Instytut Badan Strukturalnych, number zwp2013 edited by Piotr Lewandowski & Iga Magda, january.
    18. Czernich, Nina, 2014. "Does broadband internet reduce the unemployment rate? Evidence for Germany," Information Economics and Policy, Elsevier, vol. 29(C), pages 32-45.
    19. Philip Jung & Moritz Kuhn, 2019. "Earnings Losses and Labor Mobility Over the Life Cycle," Journal of the European Economic Association, European Economic Association, vol. 17(3), pages 678-724.
    20. Czernich, Nina, 2011. "Broadband Infrastructure and Unemployment - Evidence for Germany," Discussion Papers in Economics 12279, University of Munich, Department of Economics.

    More about this item

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:13886. 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: https://edirc.repec.org/data/nberrus.html .

    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.