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Class size, type of exam and student achievement

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Education as a road to growth has been on the political agenda in recent years and promoted not least by the institutions of higher education. At the same time the universities have been squeezed for resources for a long period and the average class size has increased as a result. However, the production technology for higher education is not well known and this study highlights the relation between class size and student achievement using a large dataset of 80.000 gradings from the Aarhus School of Business. The estimations show a large negative effect of larger classes on the grade level of students. The type of exam also has a large and significant effect on student achievements and oral exam, take-home exam and group exam reward the student with a significantly higher grade compared with an on-site written exam

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  • Madsen, Erik Strøjer, 2011. "Class size, type of exam and student achievement," Working Papers 11-5, University of Aarhus, Aarhus School of Business, Department of Economics.
    • Handle: RePEc:hhs:aareco:2011_005
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    1. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 497-532.
    2. Eskil Heinesen, 2010. "Estimating Class-size Effects using Within-school Variation in Subject-specific Classes," Economic Journal, Royal Economic Society, vol. 120(545), pages 737-760, June.
    3. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
    4. Eric A. Hanushek, 1998. "Conclusions and controversies about the effectiveness of school resources," Economic Policy Review, Federal Reserve Bank of New York, vol. 4(Mar), pages 11-27.
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    JEL classification:

    • A23 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Graduate
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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