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Can Online Learning Bend the Higher Education Cost Curve?

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Listed:
  • Deming, David James
  • Goldin, Claudia D.
  • Katz, Lawrence F.
  • Yuchtman, Noam

Abstract

We examine whether online learning technologies have led to lower prices in higher education. Using data from the Integrated Postsecondary Education Data System, we show that online education is concentrated in large for-profit chains and less-selective public institutions. Colleges with a higher share of online students charge lower tuition prices. We present evidence that real and relative prices for full-time undergraduate online education declined from 2006 to 2013. Although the pattern of results suggests some hope that online technology can “bend the cost curve†in higher education, the impact of online learning on education quality remains uncertain.

Suggested Citation

  • Deming, David James & Goldin, Claudia D. & Katz, Lawrence F. & Yuchtman, Noam, 2015. "Can Online Learning Bend the Higher Education Cost Curve?," Scholarly Articles 27725247, Harvard University Department of Economics.
    • Handle: RePEc:hrv:faseco:27725247
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    References listed on IDEAS

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    1. William G. Bowen & Matthew M. Chingos & Kelly A. Lack & Thomas I. Nygren, 2014. "Interactive Learning Online at Public Universities: Evidence from a Six‐Campus Randomized Trial," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 33(1), pages 94-111, January.
    2. Caroline M. Hoxby, 2014. "The Economics of Online Postsecondary Education: MOOCs, Nonselective Education, and Highly Selective Education," American Economic Review, American Economic Association, vol. 104(5), pages 528-533, May.
    3. David J. Deming & Claudia Goldin & Lawrence F. Katz, 2012. "The For-Profit Postsecondary School Sector: Nimble Critters or Agile Predators?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 139-164, Winter.
    4. David J. Deming & Noam Yuchtman & Amira Abulafi & Claudia Goldin & Lawrence F. Katz, 2016. "The Value of Postsecondary Credentials in the Labor Market: An Experimental Study," American Economic Review, American Economic Association, vol. 106(3), pages 778-806, March.
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    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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