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The Impact of Internet Subsidies in Public Schools

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Author Info
Austan Goolsbee
Jonathan Guryan

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Abstract

In an effort to alleviate the perceived growth of a digital divide, the U.S. government enacted a major subsidy for Internet and communications investment in schools starting in 1998. The program subsidized spending by 20-90 percent, depending on school characteristics. Using new data on school technology usage in every school in California from 1996 to 2000 as well as application data from the E-Rate program, this paper shows that the subsidy did succeed in significantly increasing Internet investment. The implied first-dollar price elasticity of demand for Internet investment is between -0.9 and -2.2 and the greatest sensitivity shows up among urban schools and schools with large black and Hispanic student populations. Rural and predominantly white and Asian schools show much less sensitivity. Overall, by the final year of the sample, there were about 66 percent more Internet classrooms than there would have been without the subsidy. Using a variety of test score results, however, it is clear that the success of the E-Rate program, at least so far, has been restricted to the increase in access. The increase in Internet connections has had no measurable impact on any measure of student achievement.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 9090.

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Date of creation: Aug 2002
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Handle: RePEc:nbr:nberwo:9090

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Find related papers by JEL classification:
I2 - Health, Education, and Welfare - - Education
H2 - Public Economics - - Taxation, Subsidies, and Revenue

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References listed on IDEAS
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  1. Jerry Hausman, 1998. "Taxation by Telecommunications Regulation," NBER Chapters, in: Tax Policy and the Economy, Volume 12, pages 29-48 National Bureau of Economic Research, Inc. [Downloadable!]
  2. Joshua Angrist & Victor Lavy, 1999. "New Evidence on Classroom Computers and Pupil Learning," NBER Working Papers 7424, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  3. Eriksson, Ross C & Kaserman, David L & Mayo, John W, 1998. "Targeted and Untargeted Subsidy Schemes: Evidence from Postdivestiture Efforts to Promote Universal Telephone Service," Journal of Law & Economics, University of Chicago Press, vol. 41(2), pages 477-502, October.
  4. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January. [Downloadable!] (restricted)
  5. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-59, July. [Downloadable!] (restricted)
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  6. Wolak, Frank A., 1996. "Can universal service survive in a competitive telecommunications environment? Evidence from the United States consumer expenditure survey," Information Economics and Policy, Elsevier, vol. 8(3), pages 163-203, September. [Downloadable!] (restricted)
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Sprietsma, Maresa, 2007. "Computers as Pedagogical Tools in Brazil: A Pseudo-panel Analysis," ZEW Discussion Papers 07-040, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research. [Downloadable!]
  2. Maarten Cornet & Fré Huizinga & Bert Minne & Dinand Webbink, 2006. "Successful knowledge policies," CPB Memoranda 158, CPB Netherlands Bureau for Economic Policy Analysis. [Downloadable!]
  3. Leuven, Edwin & Lindahl, Mikael & Oosterbeek, Hessel & Webbink, Dinand, 2004. "The Effect of Extra Funding for Disadvantaged Pupils on Achievement," IZA Discussion Papers 1122, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
  4. Cecilia E. Rouse & Alan B. Krueger, 2004. "Putting Computerized Instruction to the Test: A Randomized Evaluation of a "Scientifically-based" Reading Program," NBER Working Papers 10315, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  5. Daniel O. Beltran & Kuntal K. Das & Robert W. Fairlie, 2006. "Do Home Computers Improve Educational Outcomes? Evidence from Matched Current Population Surveys and the National Longitudinal Survey of Youth 1997," IZA Discussion Papers 1912, Institute for the Study of Labor (IZA). [Downloadable!]
  6. Lisa Barrow & Lisa Markham & Cecilia Elena Rouse, 2007. "Technology’s edge: the educational benefits of computer-aided instruction," Working Paper Series WP-07-17, Federal Reserve Bank of Chicago. [Downloadable!]
    Other versions:
  7. Stephen Machin & Sandra McNally & Olmo Silva, 2006. "New Technology in Schools: Is There a Payoff?," IZA Discussion Papers 2234, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
  8. Luis Garicano & Paul Heaton, 2007. "Information Technology, Organization, and Productivity in the Public Sector: Evidence from Police Departments," CEP Discussion Papers dp0826, Centre for Economic Performance, LSE. [Downloadable!]
  9. Michael R. Ward, 2005. "Rationalizing the E-Rate: The Effects of Subsidizing IT in Education," Working Papers 05-25, NET Institute, revised Oct 2005. [Downloadable!]
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