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Equalizing Superstars: The Internet and the Democratization of Education

Author

Listed:
  • Daron Acemoglu
  • David Laibson
  • John A. List

Abstract

Internet-based educational resources are proliferating rapidly. One concern associated with these (potentially transformative) technological changes is that they will be disequalizing—as many technologies of the last several decades have been—creating superstar teachers and a winner-take-all education system. These important concerns notwithstanding, we contend that a major impact of web-based educational technologies will be the democratization of education: educational resources will be more equally distributed, and lower-skilled teachers will benefit. At the root of our results is the observation that skilled lecturers can only exploit their comparative advantage if other teachers complement those lectures with face-to-face instruction. This complementarity will increase the quantity and quality of face-to-face teaching services, potentially increasing the marginal product and wages of lower-skill teachers.

Suggested Citation

  • Daron Acemoglu & David Laibson & John A. List, 2014. "Equalizing Superstars: The Internet and the Democratization of Education," American Economic Review, American Economic Association, vol. 104(5), pages 523-527, May.
  • Handle: RePEc:aea:aecrev:v:104:y:2014:i:5:p:523-27
    Note: DOI: 10.1257/aer.104.5.523
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    References listed on IDEAS

    as
    1. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    2. Rosen, Sherwin, 1981. "The Economics of Superstars," American Economic Review, American Economic Association, vol. 71(5), pages 845-858, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Online education and inequality
      by nawmsayn in ZeeConomics on 2014-03-20 02:10:02

    Citations

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    Cited by:

    1. Wada, Shuhei, 2021. "Online education and the Great Convergence," MPRA Paper 108793, University Library of Munich, Germany.
    2. Markus Brueckner & Joaquin L. Vespignani, 2017. "Trade Uncertainty and Income Inequality," Globalization Institute Working Papers 306, Federal Reserve Bank of Dallas.
    3. Yao Zhao & Xuena Kong & Mahmood Ahmad & Zahoor Ahmed, 2023. "Digital Economy, Industrial Structure, and Environmental Quality: Assessing the Roles of Educational Investment, Green Innovation, and Economic Globalization," Sustainability, MDPI, vol. 15(3), pages 1-24, January.
    4. Paul Belleflamme & Julien Jacqmin, 2016. "An Economic Appraisal of MOOC Platforms: Business Models and Impacts on Higher Education," CESifo Economic Studies, CESifo Group, vol. 62(1), pages 148-169.
    5. Perri, Timothy, 2016. "Online education, signaling, and human capital," Information Economics and Policy, Elsevier, vol. 36(C), pages 69-74.
    6. Saia, Artjom, 2023. "Digitalization and CO2 emissions: Dynamics under R&D and technology innovation regimes," Technology in Society, Elsevier, vol. 74(C).
    7. Patrizio Pagano & Massimo Sbracia, 2014. "The secular stagnation hypothesis: a review of the debate and some insights," Questioni di Economia e Finanza (Occasional Papers) 231, Bank of Italy, Economic Research and International Relations Area.
    8. John J. Cheslock & Ozan Jaquette, 2022. "Concentrated or Fragmented? The U.S. Market for Online Higher Education," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(1), pages 33-59, February.
    9. Gong, Jie & Liu, Tracy Xiao & Tang, Jie, 2021. "How monetary incentives improve outcomes in MOOCs: Evidence from a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 905-921.
    10. Laia Navarro-Sola, 2021. "Secondary Schools with Televised Lessons: The Labor Market Returns of the Mexican Telesecundaria," Working Papers 2021-053, Human Capital and Economic Opportunity Working Group.
    11. Wang, Jianqiu & Yin, Zhichao & Jiang, Jialing, 2023. "The effect of the digital divide on household consumption in China," International Review of Financial Analysis, Elsevier, vol. 87(C).
    12. Sam Allgood & William B. Walstad & John J. Siegfried, 2015. "Research on Teaching Economics to Undergraduates," Journal of Economic Literature, American Economic Association, vol. 53(2), pages 285-325, June.
    13. Kotrba, Vojtěch, 2019. "Direct preferences of sports fans: Is there a superstar effect in the fantasy league?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 78(C), pages 89-97.
    14. Michael Kaganovich & Sinan Sarpca & Xuejuan Su, 2020. "Competition in Higher Education: A Survey," CESifo Working Paper Series 8220, CESifo.
    15. Li, Haizheng & Liu, Zhiqiang & Yang, Fanzheng & Yu, Li, 2023. "The Impact of Computer-Assisted Instruction on Student Performance: Evidence from the Dual-Teacher Program," IZA Discussion Papers 15944, Institute of Labor Economics (IZA).

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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations
    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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