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Economic Considerations and Class Size

Author

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  • Alan B. Krueger

    (Princeton University and NBER)

Abstract

This paper examines evidence on the effect of class size on student achievement. First, it is shown that results of quantitative summaries of the literature, such as Hanushek (1997), depend critically on whether studies are accorded equal weight. When studies are given equal weight, resources are systematically related to student achievement. When weights are in proportion to their number of estimates, resources and achievements are not systematically related. Second, a cost-benefit analysis of class size reduction is performed. Results of the Tennessee STAR class-size experiment suggest that the internal rate of return from reducing class size from 22 to 15 students is around 6%. Copyright Royal Economic Society 2003

Suggested Citation

  • Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
  • Handle: RePEc:ecj:econjl:v:113:y:2003:i:485:p:f34-f63
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    References listed on IDEAS

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    1. Kiesling, Herbert J., 1984. "Assignment practices and the relationship of instructional time to the reading performance of elementary school children," Economics of Education Review, Elsevier, vol. 3(4), pages 341-350, August.
    2. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 497-532.
    3. Sengupta, Jati K. & Sfeir, Raymond E., 1986. "Production frontier estimates of scale in public schools in California," Economics of Education Review, Elsevier, vol. 5(3), pages 297-307, June.
    4. Krueger, Alan B & Whitmore, Diane M, 2001. "The Effect of Attending a Small Class in the Early Grades on College-Test Taking and Middle School Test Results: Evidence from Project STAR," Economic Journal, Royal Economic Society, vol. 111(468), pages 1-28, January.
    5. Hanushek, Eric A, 1989. "Expenditures, Efficiency, and Equity in Education: The Federal Government's Role," American Economic Review, American Economic Association, vol. 79(2), pages 46-51, May.
    6. John Cawley & Karen Conneely & James Heckman & Edward Vytlacil, 1996. "Cognitive Ability, Wages, and Meritocracy," NBER Working Papers 5645, National Bureau of Economic Research, Inc.
    7. Stern, David, 1989. "Educational cost factors and student achievement in grades 3 and 6: Some new evidence," Economics of Education Review, Elsevier, vol. 8(2), pages 149-158, April.
    8. Eric A. Hanushek, 2003. "The Failure of Input-Based Schooling Policies," Economic Journal, Royal Economic Society, vol. 113(485), pages 64-98, February.
    9. Eric A. Hanushek, "undated". "The Evidence on Class Size," Wallis Working Papers WP10, University of Rochester - Wallis Institute of Political Economy.
    10. Card, David & Krueger, Alan B, 1992. "Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 1-40, February.
    11. Link, Charles R. & Mulligan, James G., 1986. "The merits of a longer school day," Economics of Education Review, Elsevier, vol. 5(4), pages 373-381, August.
    12. Edward P. Lazear, 2001. "Educational Production," The Quarterly Journal of Economics, Oxford University Press, vol. 116(3), pages 777-803.
    13. repec:fth:prinin:427 is not listed on IDEAS
    14. Eric A. Hanushek, 1982. "Throwing money at schools," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 1(1), pages 19-41.
    15. Hanushek, Eric A., 2006. "School Resources," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 2, chapter 14, pages 865-908, Elsevier.
    16. James Heckman & Anne Layne-Farrar & Petra Todd, 1995. "The Schooling Quality-Earnings Relationship: Using Economic Theory to Interpret Functional Forms Consistent with the Evidence," NBER Working Papers 5288, National Bureau of Economic Research, Inc.
    17. Janet Currie & Duncan Thomas, 1999. "Early Test Scores, Socioeconomic Status and Future Outcomes," NBER Working Papers 6943, National Bureau of Economic Research, Inc.
    18. Neal, Derek A & Johnson, William R, 1996. "The Role of Premarket Factors in Black-White Wage Differences," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 869-895, October.
    19. Link, Charles R. & Mulligan, James G., 1991. "Classmates' effects on black student achievement in public school classrooms," Economics of Education Review, Elsevier, vol. 10(4), pages 297-310, December.
    20. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    21. Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, vol. 67(4), pages 639-652, September.
    22. Joshua D. Angrist & Victor Lavy, 1997. "Using Maimonides' Rule to Estimate the Effect of Class Size on Student Achievement," NBER Working Papers 5888, National Bureau of Economic Research, Inc.
    23. T. D. Stanley, 2001. "Wheat from Chaff: Meta-analysis as Quantitative Literature Review," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 131-150, Summer.
    24. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    25. Montmarquette, Claude & Mahseredjian, Sophie, 1989. "Does School Matter for Educational Achievement? A Two-Way Nested-Error Components Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(2), pages 181-193, April-Jun.
    26. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    27. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 533-575.
    28. Hanushek, E.A.omson, W., 1996. "Assessing the Effects of School Resources on Student Performance : An Update," RCER Working Papers 424, University of Rochester - Center for Economic Research (RCER).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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