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Internet Job Search and Unemployment Durations

  • Kuhn, Peter J.

    ()

    (University of California, Santa Barbara)

  • Skuterud, Mikal

    ()

    (Statistics Canada)

After decades of stability, the technologies used by workers to locate new jobs began to change rapidly with the diffusion of internet access in the late 1990’s. Which types of persons incorporated the internet into their job search strategy, and did searching for work on line help these workers find new jobs faster? We address these questions using measures of internet job search derived from the December 1998 and August 2000 CPS Computer and Internet Supplements, matched with job search outcomes from subsequent CPS files. We find that internet searchers are positively selected on observables, but negatively selected on unobservables. A beneficial (unemployment-duration reducing) causal effect of internet job search is consistent with our estimates only if negative selection on unobservables is especially strong, in other words only if the population of on-line resumes is strongly adversely selected.

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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 613.

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Length: 48 pages
Date of creation: Oct 2002
Date of revision:
Publication status: published in: American Economic Review, 2004, 94 (1), 218-232
Handle: RePEc:iza:izadps:dp613
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  1. Addison, John T. & Portugal, Pedro, 2001. "Job Search Methods and Outcomes," IZA Discussion Papers 349, Institute for the Study of Labor (IZA).
  2. Dennis W. Carlton & Judith A. Chevalier, 2001. "Free Riding and Sales Strategies for the Internet," NBER Working Papers 8067, National Bureau of Economic Research, Inc.
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  6. Brown, Jeffrey, 2000. "Does the Internet Make Markets More Competitive? Evidence from the Life Insurance Industry," Working Paper Series rwp00-007, Harvard University, John F. Kennedy School of Government.
  7. Goolsbee, Austan & Klenow, Peter J, 2002. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 317-43, October.
  8. Jonathan M. Thomas, 1997. "Public employment agencies and unemployment spells: Reconciling the experimental and nonexperimental evidence," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 50(4), pages 667-683, July.
  9. David Autor, 2000. "Wiring the Labor Market," NBER Working Papers 7959, National Bureau of Economic Research, Inc.
  10. William H. Greene, 1998. "Gender Economics Courses in Liberal Arts Colleges: Further Results," The Journal of Economic Education, Taylor & Francis Journals, vol. 29(4), pages 291-300, January.
  11. Harry J. Holzer, 1986. "Search Method Use by Unemployed Youth," NBER Working Papers 1859, National Bureau of Economic Research, Inc.
  12. Meyer, Bruce D, 1990. "Unemployment Insurance and Unemployment Spells," Econometrica, Econometric Society, vol. 58(4), pages 757-82, July.
  13. Harry J. Holzer, 1986. "Informal Job Search and Black Youth Unemployment," NBER Working Papers 1860, National Bureau of Economic Research, Inc.
  14. Han, Aaron & Hausman, Jerry A, 1990. "Flexible Parametric Estimation of Duration and Competing Risk Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(1), pages 1-28, January-M.
  15. Lancaster, Tony, 1979. "Econometric Methods for the Duration of Unemployment," Econometrica, Econometric Society, vol. 47(4), pages 939-56, July.
  16. 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.
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