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Internet use and job search

Listed author(s):
  • Beard, T. Randolph
  • Ford, George S.
  • Saba, Richard P.
  • Seals, Richard A.

Regression analysis augmented with propensity score methods is used to estimate the effect of Internet use on job search. The formal distinction between the unemployed and the discouraged is exploited, where both desire employment but the latter has ceased active job search. Results indicate broadband use at home or at public locations reduces the probability that the unemployed cease job search by over 50% relative to unemployed persons who do not use the Internet at all. The results suggest that even public connections (e.g., at libraries) in unserved and underserved areas may produce substantial social benefits.

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File URL: http://www.sciencedirect.com/science/article/pii/S0308596111002217
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Article provided by Elsevier in its journal Telecommunications Policy.

Volume (Year): 36 (2012)
Issue (Month): 4 ()
Pages: 260-273

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Handle: RePEc:eee:telpol:v:36:y:2012:i:4:p:260-273
DOI: 10.1016/j.telpol.2011.12.001
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  1. 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.
  2. 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.
  3. Andrea Weber & Helmut Mahringer, 2008. "Choice and success of job search methods," Empirical Economics, Springer, vol. 35(1), pages 153-178, August.
  4. Bruno S. Frey & Alois Stutzer, 2002. "What Can Economists Learn from Happiness Research?," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 402-435, June.
  5. 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, February.
  6. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
  7. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, December.
  8. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
  9. 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.
  10. 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.
  11. Peter Kuhn & Mikal Skuterud, 2004. "Internet Job Search and Unemployment Durations," American Economic Review, American Economic Association, vol. 94(1), pages 218-232, March.
  12. David H. Autor, 2001. "Wiring the Labor Market," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 25-40, Winter.
  13. 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.
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