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The Education-Innovation Gap

Author

Listed:
  • Barbara Biasi
  • Song Ma

Abstract

This paper studies the dissemination of frontier knowledge through higher education. Applying natural language processing (NLP) techniques to the text of 1.7M university course syllabi and 20M academic articles, we construct the “education-innovation gap,” a measure of a syllabus’s distance from frontier knowledge. Using this measure, we document four new facts. First, courses differ greatly in their education-innovation gap, even after controlling for field, course-level, and time. Second, instructors play an important role in shaping course content. Research-active instructors teach more frontier knowledge, particularly when their research is close to the course topic. Third, access to frontier knowledge is unequal: Schools enrolling more socio-economically advantaged students offer courses with a lower gap. Lastly, students from lower-gap schools are more likely to complete a doctoral degree, produce more patents, and earn more after graduation.

Suggested Citation

  • Barbara Biasi & Song Ma, 2022. "The Education-Innovation Gap," NBER Working Papers 29853, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:29853
    Note: ED LS PR
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    Cited by:

    1. Benjamin W. Arold, 2022. "Evolution vs. Creationism in the Classroom: The Lasting Effects of Science Education," ifo Working Paper Series 379, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Kang, Yankun & Leng, Xuan & Liao, Yunxiang & Zheng, Shilin, 2024. "Information disclosure, spillovers, and knowledge accumulation," China Economic Review, Elsevier, vol. 84(C).
    3. Christina Langer & Simon Wiederhold, 2023. "The Value of Early-Career Skills," CESifo Working Paper Series 10288, CESifo.
    4. Andreas F. Buehler & Patrick Lehnert & Uschi Backes-Gellner, 2023. "Curriculum Updates in Vocational Education and Changes in Graduates' Skills and Wages," Economics of Education Working Paper Series 0205, University of Zurich, Department of Business Administration (IBW).
    5. Seegmiller, Bryan & Papanikolaou, Dimitris & Schmidt, Lawrence D.W., 2023. "Measuring document similarity with weighted averages of word embeddings," Explorations in Economic History, Elsevier, vol. 87(C).

    More about this item

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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