School choice has become an increasingly prominent strategy for enhancing academic achievement. To evaluate the impact on participants, we exploit randomized lotteries that determine high school admission in the Chicago Public Schools. Compared to those students who lose lotteries, students who win attend high schools that are better in a number of dimensions, including peer achievement and attainment levels. Nonetheless, we find little evidence that winning a lottery provides any systematic benefit across a wide variety of traditional academic measures. Lottery winners do, however, experience improvements on a subset of nontraditional outcome measures, such as self‐reported disciplinary incidents and arrest rates.
MLA
Cullen, Julie Berry, et al. “The Effect of School Choice on Participants: Evidence from Randomized Lotteries.” Econometrica, vol. 74, .no 5, Econometric Society, 2006, pp. 1191-1230, https://doi.org/10.1111/j.1468-0262.2006.00702.x
Chicago
Cullen, Julie Berry, Brian A Jacob, and Steven Levitt. “The Effect of School Choice on Participants: Evidence from Randomized Lotteries.” Econometrica, 74, .no 5, (Econometric Society: 2006), 1191-1230. https://doi.org/10.1111/j.1468-0262.2006.00702.x
APA
Cullen, J. B., Jacob, B. A., & Levitt, S. (2006). The Effect of School Choice on Participants: Evidence from Randomized Lotteries. Econometrica, 74(5), 1191-1230. https://doi.org/10.1111/j.1468-0262.2006.00702.x
Appendix B: Calculating Value-Added by High School Campus
This appendix describes how we calculated a value-added measure for each school in order to examine the impact of winning a lottery by school productivity.
This appendix presents a variety of additional tests that we conducted to examine the sensitivity of our estimates to potential selective attrition. We first show the relationship between missing outcomes and observable characteristics for a variety of different outcome measures. We next examines the sensitivity of the ninth grade reading score results to a variety of sample selection correction methodologies, including generic bounding, worst-case bounding and optimistic bounding.
Supplemental material for "The Effect of School Choice on Participants: Evidence from Randomized Lotteries": Data (part 1)
This zip file, together with data (part 2), are intended to help the interested reader replicate our results. They contain do files, data sets and a word document with data descriptions.
Appendix B: Calculating Value-Added by High School Campus
This appendix describes how we calculated a value-added measure for each school in order to examine the impact of winning a lottery by school productivity.
This appendix presents a variety of additional tests that we conducted to examine the sensitivity of our estimates to potential selective attrition. We first show the relationship between missing outcomes and observable characteristics for a variety of different outcome measures. We next examines the sensitivity of the ninth grade reading score results to a variety of sample selection correction methodologies, including generic bounding, worst-case bounding and optimistic bounding.
Supplemental material for "The Effect of School Choice on Participants: Evidence from Randomized Lotteries": Data (part 1)
This zip file, together with data (part 2), are intended to help the interested reader replicate our results. They contain do files, data sets and a word document with data descriptions.
The Executive Committee of the Econometric Society has approved an increase in the submission fees for papers in Econometrica. Starting January 1, 2025, the fee for new submissions to Econometrica will be US$125 for regular members and US$50 for student members.
By clicking the "Accept" button or continuing to browse our site, you agree to first-party and session-only cookies being stored on your device. Cookies are used to optimize your experience and anonymously analyze website performance and traffic.