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Estimating Treatment Effects from Contaminated Multi-Period Education Experiments: The Dynamic Impacts of Class Size Reductions

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Author Info
Ding, Weili
Lehrer, Steven F.

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Abstract

This paper introduces an empirical strategy to estimate dynamic treatment effects in randomized trials that provide treatment in multiple stages and in which various noncompliance problems arise such as attrition and selective transitions between treatment and control groups. Our approach is applied to the highly influential four year randomized class size study, Project STAR. We find benefits from attending small class in all cognitive subject areas in kindergarten and the first grade. We do not find any statistically significant dynamic benefits from continuous treatment versus never attending small classes following grade one. Finally, statistical tests support accounting for both selective attrition and noncompliance with treatment assignment.

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File URL: http://www.clsrn.econ.ubc.ca/workingpapers/CLSRN%20Working%20Paper%20no.%2035%20-%20Lehrer%20and%20Ding.pdf
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Publisher Info
Paper provided by UBC Department of Economics in its series CLSRN Working Papers with number clsrn_admin-2009-43.

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Length: 48 pages
Date of creation: 22 Jul 2009
Date of revision: 22 Jul 2009
Handle: RePEc:ubc:clssrn:clsrn_admin-2009-43

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Related research
Keywords: Dynamic treatment effects; contaminated experiments; class size; education production; attrition; non-compliance;

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Find related papers by JEL classification:
I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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  1. Horowitz, Joel L & Manski, Charles F, 1995. "Identification and Robustness with Contaminated and Corrupted Data," Econometrica, Econometric Society, vol. 63(2), pages 281-302, March. [Downloadable!] (restricted)
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This page was last updated on 2009-11-22.

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