Submissions to Methods for Policy Analysis, Kenneth A. Couch, University of Connecticut, 341 Mansfield Road, U-1063, Storrs, CT 06269-1063.
Methods for Policy Analysis
Can Nonexperimental Estimates Replicate Estimates Based on Random Assignment in Evaluations of School Choice? A Within-Study Comparison
Version of Record online: 26 APR 2012
© 2012 by the Association for Public Policy Analysis and Management
Journal of Policy Analysis and Management
Volume 31, Issue 3, pages 729–751, Summer 2012
How to Cite
Bifulco, R. (2012), Can Nonexperimental Estimates Replicate Estimates Based on Random Assignment in Evaluations of School Choice? A Within-Study Comparison. J. Pol. Anal. Manage., 31: 729–751. doi: 10.1002/pam.20637
- Issue online: 14 JUN 2012
- Version of Record online: 26 APR 2012
The ability of nonexperimental estimators to match impact estimates derived from random assignment is examined using data from the evaluation of two interdistrict magnet schools. As in previous within-study comparisons, nonexperimental estimates differ from estimates based on random assignment when nonexperimental estimators are implemented without pretreatment measures of academic performance. With comparison groups consisting of students drawn from the same districts or districts with similar student body characteristics as the districts where treatment group students reside, using pretreatment test scores reduces the bias in nonexperimental methods between 64 and 96 percent. Adding pretreatment test scores does not achieve as much bias reduction when the comparison group consists of students drawn from districts with different student body characteristics than the treatment group students’ districts. The results suggest that using pretreatment outcome measures and comparison groups that are geographically aligned with the treatment group greatly improves the performance of nonexperimental estimators.