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Internet Use and Job Search

  • T. Randolph Beard
  • George S. Ford
  • Richard P. Saba
  • Richard A. Seals Jr.

We combine regression and propensity score methods to estimate the effect of Internet use on job search. We exploit the distinction between the unemployed and the discouraged, where both desire employment but the latter has ceased active job search due to negative beliefs about the labor market. Results indicate broadband use at home or at public locations reduces discouragement by over 50 percent. Our findings suggest Internet use keeps the jobless active in job search and may equate to more employment. Our results also demonstrate public connections (e.g., at libraries) in unserved and underserved areas may produce substantial societal benefits.

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File URL: http://cla.auburn.edu/econwp/Archives/2010/2010-07.pdf
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Paper provided by Department of Economics, Auburn University in its series Auburn Economics Working Paper Series with number auwp2010-07.

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Date of creation: Nov 2010
Date of revision:
Handle: RePEc:abn:wpaper:auwp2010-07
Contact details of provider: Postal: 0326 Haley Center, Auburn University, AL 36849-5049
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Web page: http://cla.auburn.edu/economics/

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  1. Weber, Andrea & Mahringer, Helmut, 2002. "Choice and Success of Job Search Methods," Economics Series 125, Institute for Advanced Studies.
  2. Bruno S. Frey & Alois Stutzer, 2001. "What Can Economists Learn from Happiness Research?," CESifo Working Paper Series 503, CESifo Group Munich.
  3. David H. Autor, 2001. "Wiring the Labor Market," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 25-40, Winter.
  4. Alice O. Nakamura & Kathryn L. Shaw & Richard B. Freeman & Emi Nakamura & Amanda Pyman, 2009. "Jobs Online," NBER Chapters, in: Studies of Labor Market Intermediation, pages 27-65 National Bureau of Economic Research, Inc.
  5. Guido Imbens & Jeffrey Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  6. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
  7. Kuhn, Peter J. & Skuterud, Mikal, 2002. "Internet Job Search and Unemployment Durations," IZA Discussion Papers 613, Institute for the Study of Labor (IZA).
  8. 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.
  9. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, 02.
  10. Michael Lechner, 2002. "Program Heterogeneity And Propensity Score Matching: An Application To The Evaluation Of Active Labor Market Policies," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 205-220, May.
  11. Holt, Lynne & Jamison, Mark, 0. "Broadband and contributions to economic growth: Lessons from the US experience," Telecommunications Policy, Elsevier, vol. 33(10-11), pages 575-581, November.
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