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

35 Pages Posted: 11 Aug 2009 Last revised: 14 Jul 2024

See all articles by Weili Ding

Weili Ding

Queen's University

Steven F. Lehrer

Queen's University (Canada), Faculty of Arts & Science, Department of Economics, Students; National Bureau of Economic Research (NBER)

Date Written: August 2009

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.

Suggested Citation

Ding, Weili and Lehrer, Steven F., Estimating Treatment Effects from Contaminated Multi-Period Education Experiments: The Dynamic Impacts of Class Size Reductions (August 2009). NBER Working Paper No. w15200, Available at SSRN: https://ssrn.com/abstract=1444681

Weili Ding

Queen's University ( email )

99 University Ave
Kingston, Ontario K7L 3N6
Canada
6135336000x78784 (Phone)
6135332135 (Fax)

HOME PAGE: http://post.queensu.ca/~dingw

Steven F. Lehrer (Contact Author)

Queen's University (Canada), Faculty of Arts & Science, Department of Economics, Students ( email )

99 University Avenue
Kingston, Ontario
Canada

HOME PAGE: http://econ.queensu.ca/faculty/lehrer/

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

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