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The Impact of Homework on Student Achievement Author info | Abstract | Publisher info | Download info | Related research | Statistics Eren,Ozkan () (Southern Methodist University)
Henderson,J. Daniel () (State University of New York at Binghamton)
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Utilizing parametric and nonparametric techniques, we asses the role of a heretofore relatively unexplored `input' in the educational process, homework, on academic achievement. Our results indicate that homework is an important determinant of student test scores. Relative to more standard spending related measures, extra homework has a larger and more significant impact on test scores. However, the effects are not uniform across different subpopulations; we find additional homework to be most effective for high and low achievers. Moreover, the parametric estimates of the educational production function overstate the impact of schooling related inputs. In all estimates, the homework coefficient from the parametric model maps to the upper deciles of the nonparametric coefficient distribution and as a by-product the parametric model understates the percentage of students with negative responses to additional homework.
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Paper provided by Southern Methodist University, Department of Economics in its series Departmental Working Papers with number
0518.
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Length: 35 pages
Date of creation: 27 Apr 2006Date of revision:
12 May 2006Handle: RePEc:smu:ecowpa:0518Contact details of provider: Postal: Department of Economics, P.O. Box 750496, Southern Methodist University, Dallas, TX 75275-0496 Phone: 214-768-2715 Fax: 214-768-1821 Web page: http://www.smu.edu/economics
For technical questions regarding this item, or to correct its listing, contact: (Bo Chen).
Keywords: Generalized Kernel Estimation ; Nonparametric ; School Inputs ; Stochastic Dominance ; Student Achievement ; Other versions of this item:
Find related papers by JEL classification: C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models I21 - Health, Education, and Welfare - - Education - - - Analysis of Education I28 - Health, Education, and Welfare - - Education - - - Government Policy
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Henderson, Daniel J., 2008.
"A Test for Multimodality of Regression Derivatives with an Application to Nonparametric Growth Regressions ,"
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