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Time to learn? The organizational structure of schools and student achievement

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  • Ozkan Eren

    ()

  • Daniel Millimet

    ()

Abstract

Utilizing parametric and nonparametric techniques, we asses the impact of a heretofore relatively unexplored ‘input ’in the educational process, time allocation, on the distribution of academic acheivement. Our results indicate that school year length and the number and average duration of classes are salient determinants of student performance. However, the effects are not homogeneous — in terms of both direction and magnitude — across the distribution. We find that students below the median benefit from a shorter school year, while a longer school year benefits students above the median. Furthermore, low-achieving students benefit from fewer, shorter classes per day, while high-achieving students benefit from more and longer classes per day.Length: 30 pages

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Bibliographic Info

Article provided by Springer in its journal Empirical Economics.

Volume (Year): 32 (2007)
Issue (Month): 2 (May)
Pages: 301-332

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Handle: RePEc:spr:empeco:v:32:y:2007:i:2:p:301-332

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Related research

Keywords: Student achievement; School quality; Stochastic dominance; Quantile treatment effects; Inverse propensity score weighting; C14; I21; I28;

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References

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  1. Jorn-Steffen Pischke, 2003. "The Impact of Length of the School Year on Student Performance and Earnings: Evidence from the German Short School Year," NBER Working Papers 9964, National Bureau of Economic Research, Inc.
  2. Maasoumi, Esfandiar & Almas Heshmati, 2003. "Evaluating Dominance Ranking of PSID Incomes by various Household Attributes," Departmental Working Papers 0509, Southern Methodist University, Department of Economics.
  3. Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
  4. Epple, Dennis & Romano, Richard E, 1998. "Competition between Private and Public Schools, Vouchers, and Peer-Group Effects," American Economic Review, American Economic Association, vol. 88(1), pages 33-62, March.
  5. Amin, Sajeda & Rai, Ashok S. & Topa, Giorgio, 2003. "Does microcredit reach the poor and vulnerable? Evidence from northern Bangladesh," Journal of Development Economics, Elsevier, vol. 70(1), pages 59-82, February.
  6. Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Whang, 2002. "Consistent testing for stochastic dominance: a subsampling approach," LSE Research Online Documents on Economics 24927, London School of Economics and Political Science, LSE Library.
  7. David N. Figlio, 2005. "Boys Named Sue: Disruptive Children and their Peers," NBER Working Papers 11277, National Bureau of Economic Research, Inc.
  8. Bishop, John A. & Formby, John P. & Zeager, Lester A., 2000. "The effect of food stamp cashout on undernutrition," Economics Letters, Elsevier, vol. 67(1), pages 75-85, April.
  9. Eric A. Hanushek, . "The Evidence on Class Size," Wallis Working Papers WP10, University of Rochester - Wallis Institute of Political Economy.
  10. Esfandiar Maasoumi & Almas Heshmati, 2000. "Stochastic dominance amongst swedish income distributions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 287-320.
  11. Shoshana Neuman & Ronald Oaxaca, 2004. "Wage Decompositions with Selectivity-Corrected Wage Equations: A Methodological Note," Journal of Economic Inequality, Springer, vol. 2(1), pages 3-10, April.
  12. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2000. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," NBER Working Papers 7831, National Bureau of Economic Research, Inc.
  13. Anderson, Gordon, 1996. "Nonparametric Tests of Stochastic Dominance in Income Distributions," Econometrica, Econometric Society, vol. 64(5), pages 1183-93, September.
  14. Boozer, Michael & Rouse, Cecilia, 2001. "Intraschool Variation in Class Size: Patterns and Implications," Journal of Urban Economics, Elsevier, vol. 50(1), pages 163-189, July.
  15. Daniel L. Millimet & Esfandiar Maasoumi, 2005. "Robust inference concerning recent trends in US environmental quality," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 55-77.
  16. Lorraine Dearden & Javier Ferri & Costas Meghir, 2000. "The effect of school quality on educational attainment and wages," IFS Working Papers W00/22, Institute for Fiscal Studies.
  17. Abadie A., 2002. "Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 284-292, March.
  18. Eric A. Hanushek, 1979. "Conceptual and Empirical Issues in the Estimation of Educational Production Functions," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 351-388.
  19. Omar Arias & Kevin F. Hallock & Walter Sosa Escudero, 1999. "Individual Heterogeneity in the Returns to Schooling: Instrumental Variables Quantile Regression using Twins Data," Department of Economics, Working Papers 016, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
  20. Hoxby, Caroline M., 1999. "The productivity of schools and other local public goods producers," Journal of Public Economics, Elsevier, vol. 74(1), pages 1-30, October.
  21. Marianne P. Bitler & Jonah B. Gelbach & Hilary W. Hoynes, 2005. "Distributional Impacts of the Self-Sufficiency Project," NBER Working Papers 11626, National Bureau of Economic Research, Inc.
  22. Berrara, A., 1989. "The Interactive Effects Of Mother'S Schooling And Unsupplemented Breastfeeding On Child Health," Papers 572, Yale - Economic Growth Center.
  23. Esfandiar Maasoumi & Daniel Millimet & Vasudha Rangaprasad, 2005. "Class Size and Educational Policy: Who Benefits from Smaller Classes?," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 333-368.
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Citations

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Cited by:
  1. Marcotte, Dave E. & Hemelt, Steven W., 2007. "Unscheduled School Closings and Student Performance," IZA Discussion Papers 2923, Institute for the Study of Labor (IZA).
  2. Philipp Mandel & Bernd Süssmuth, 2011. "Total Instructional Time Exposure and Student Achievement: An Extreme Bounds Analysis Based on German State-Level Variation," CESifo Working Paper Series 3580, CESifo Group Munich.
  3. Mauro Mediavilla Bordalejo, 2010. "Las becas y ayudas al estudio como elemento determinante de la continuidad escolar en el nivel secundario post-obligatorio. Un análisis de sensibilidad a partir de la aplicación del Propensity Score," Investigaciones de Economía de la Educación volume 5, in: María Jesús Mancebón-Torrubia & Domingo P. Ximénez-de-Embún & José María Gómez-Sancho & Greg (ed.), Investigaciones de Economía de la Educación 5, edition 1, volume 5, chapter 29, pages 561-582 Asociación de Economía de la Educación.
  4. Trevor Collier & Daniel Millimet, 2009. "Institutional arrangements in educational systems and student achievement: a cross-national analysis," Empirical Economics, Springer, vol. 37(2), pages 329-381, October.

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