Time to Learn? The Organizational Structure of Schools and Student Achievement
Ozkan Eren and
Daniel Millimet
No 506, Departmental Working Papers from Southern Methodist University, Department of Economics
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
JEL-codes: C14 I21 (search for similar items in EconPapers)
Date: 2005-10
New Economics Papers: this item is included in nep-edu, nep-lab and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://ftp1.economics.smu.edu/WorkingPapers/2005/millimet/em.pdf (application/pdf)
Related works:
Chapter: Time to learn? The organizational structure of schools and student achievement (2008)
Journal Article: Time to learn? The organizational structure of schools and student achievement (2007) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:smu:ecowpa:0506
Access Statistics for this paper
More papers in Departmental Working Papers from Southern Methodist University, Department of Economics Department of Economics, P.O. Box 750496, Southern Methodist University, Dallas, TX 75275-0496.
Bibliographic data for series maintained by Ömer Özak ().