Do reductions in class size raise students’ test scores? Evidence from population variation in Minnesota's elementary schools
Many U.S. states and cities spend substantial funds to reduce class size, especially in elementary (primary) school. Estimating the impact of class size on learning is complicated, since children in small and large classes differ in many observed and unobserved ways. This paper uses a method of Hoxby (2000) to assess the impact of class size on the test scores of grade 3 and 5 students in Minnesota. The method exploits random variation in class size due to random variation in births in school and district catchment areas. The results show that reducing class size increases mathematics and reading test scores in Minnesota. Yet these impacts are very small; a decrease of ten students would increase test scores by only 0.04–0.05 standard deviations (of the distribution of test scores). Thus class size reductions are unlikely to lead to sizeable increases in student learning.
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- 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.
- Hanushek, Eric A., 2006. "School Resources," Handbook of the Economics of Education, Elsevier.
- Akerhielm, Karen, 1995. "Does class size matter?," Economics of Education Review, Elsevier, vol. 14(3), pages 229-241, September.
- Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005.
"Teachers, Schools, and Academic Achievement,"
Econometric Society, vol. 73(2), pages 417-458, 03.
- Jinyong Hahn & Jerry Hausman, 2003. "Weak Instruments: Diagnosis and Cures in Empirical Econometrics," American Economic Review, American Economic Association, vol. 93(2), pages 118-125, May.
- Alan B. Krueger, 2003.
"Economic Considerations and Class Size,"
Royal Economic Society, vol. 113(485), pages F34-F63, February.
- Alan B. Krueger, 1997.
"Experimental Estimates of Education Production Functions,"
NBER Working Papers
6051, National Bureau of Economic Research, Inc.
- Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 497-532.
- Hanushek, Eric A. & Rivkin, Steven G., 2006. "Teacher Quality," Handbook of the Economics of Education, Elsevier.
- Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, November.
- Caroline M. Hoxby, 2000. "The Effects of Class Size on Student Achievement: New Evidence from Population Variation," The Quarterly Journal of Economics, Oxford University Press, vol. 115(4), pages 1239-1285.
- Bryan S. Graham, 2008. "Identifying Social Interactions Through Conditional Variance Restrictions," Econometrica, Econometric Society, vol. 76(3), pages 643-660, 05.
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