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Endogenous Knowledge Growth: An Empirical Study

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  • Tin-Chun Lin

    (Indiana University-Northwest)

Abstract

This paper explores factors that contribute to growth in undergraduate knowledge of economics. An endogenous growth empirical model was applied to estimate students’ knowledge growth. Sources of knowledge growth were extracted to identify each factor’s contribution. Analysis indicated that in-classroom factors (instructional skill and attendance) accounted for over 50% of knowledge growth. A complementarity test showed that in- and out-of-classroom efforts were not crowding out each other; moreover, instructional skill/progress and in-classroom efforts were complementary—the more frequently the student attended class, the greater the effect of the instructor’s instructional skills on student progress. Findings implied the importance of traditional classroom learning. In addition to offering online classes to raise enrollments and revenues, school authorities should be aware of the contribution and importance of traditional face-to-face classes and continue to improve the quality of traditional classroom learning.

Suggested Citation

  • Tin-Chun Lin, 2013. "Endogenous Knowledge Growth: An Empirical Study," Journal of Economic Insight, Missouri Valley Economic Association, vol. 39(2), pages 57-75.
  • Handle: RePEc:mve:journl:v:39:y:2013:i:2:p:57-75
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    Cited by:

    1. Gratiela Georgiana Noja & Alexandru Buglea & Ion Lala-Popa & Cecilia Nicoleta Jurcut, 2021. "The interplay between knowledge-based competitiveness, people’s good health and well-being: new empirical evidence from Central and Eastern European countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 441-466, April.

    More about this item

    JEL classification:

    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

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