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What differences a day can make: Quantile regression estimates of the distribution of daily learning gains

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  • Hayes, Michael S.
  • Gershenson, Seth

Abstract

Quantile regressions, which exploit quasi-random variation in days between kindergarten students’ fall and spring tests, show that the effect of school days on kindergarten students’ math and reading gains vary significantly, and monotonically, across the distribution of achievement gains.

Suggested Citation

  • Hayes, Michael S. & Gershenson, Seth, 2016. "What differences a day can make: Quantile regression estimates of the distribution of daily learning gains," Economics Letters, Elsevier, vol. 141(C), pages 48-51.
  • Handle: RePEc:eee:ecolet:v:141:y:2016:i:c:p:48-51
    DOI: 10.1016/j.econlet.2016.01.023
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    References listed on IDEAS

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    1. Jörn-Steffen Pischke, 2007. "The Impact of Length of the School Year on Student Performance and Earnings: Evidence From the German Short School Years," Economic Journal, Royal Economic Society, vol. 117(523), pages 1216-1242, October.
    2. Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
    3. Dave E. Marcotte & Steven W. Hemelt, 2008. "Unscheduled School Closings and Student Performance," Education Finance and Policy, MIT Press, vol. 3(3), pages 316-338, July.
    4. Sims, David P., 2008. "Strategic responses to school accountability measures: It's all in the timing," Economics of Education Review, Elsevier, vol. 27(1), pages 58-68, February.
    5. Fitzpatrick, Maria D. & Grissmer, David & Hastedt, Sarah, 2011. "What a difference a day makes: Estimating daily learning gains during kindergarten and first grade using a natural experiment," Economics of Education Review, Elsevier, vol. 30(2), pages 269-279, April.
    6. Joshua Goodman, 2014. "Flaking Out: Student Absences and Snow Days as Disruptions of Instructional Time," NBER Working Papers 20221, National Bureau of Economic Research, Inc.
    7. Eric A. Hanushek & Steven G. Rivkin, 2010. "Generalizations about Using Value-Added Measures of Teacher Quality," American Economic Review, American Economic Association, vol. 100(2), pages 267-271, May.
    8. Bellei, Cristián, 2009. "Does lengthening the school day increase students' academic achievement? Results from a natural experiment in Chile," Economics of Education Review, Elsevier, vol. 28(5), pages 629-640, October.
    9. Parinduri, Rasyad A., 2014. "Do children spend too much time in schools? Evidence from a longer school year in Indonesia," Economics of Education Review, Elsevier, vol. 41(C), pages 89-104.
    10. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2009. "Are Teacher Absences Worth Worrying About in the United States?," Education Finance and Policy, MIT Press, vol. 4(2), pages 115-149, April.
    11. Jill S. Cannon & Alison Jacknowitz & Gary Painter, 2006. "Is full better than half? Examining the longitudinal effects of full-day kindergarten attendance," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 25(2), pages 299-321.
    12. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
    13. Mariesa A. Herrmann & Jonah E. Rockoff, 2012. "Worker Absence and Productivity: Evidence from Teaching," Journal of Labor Economics, University of Chicago Press, vol. 30(4), pages 749-782.
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    Cited by:

    1. Thompson, Paul N., 2019. "Effects of Four-Day School Weeks on Student Achievement: Evidence from Oregon," IZA Discussion Papers 12204, Institute of Labor Economics (IZA).
    2. Gershenson, Seth & McBean, Jessica Rae & Tran, Long, 2018. "Quantile Regression Estimates of the Effect of Student Absences on Academic Achievement," IZA Discussion Papers 11912, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    Education production function; School year length; Quantile regression; ECLS-K; Instructional time;

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education

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