The Impact of Chicago's Small High School Initiative
This project examines the effects of the introduction of new small high schools on student performance in the Chicago Public School (CPS) district. Specifically, we investigate whether students attending small high schools have better graduation/enrollment rates and achievement than similar students who attend regular CPS high schools. We show that students who choose to attend a small school are more disadvantaged on average. To address the selection problem, we use an instrumental variables strategy and compare students who live in the same neighborhoods but differ in their residential proximity to a small school. In this approach, one student is more likely to sign up for a small school than another statistically identical student because the small school is located closer to the student's house and therefore the "cost" of attending the school is lower. We find that small schools students are substantially more likely to persist in school and eventually graduate. Nonetheless, there is no positive impact on student achievement as measured by test scores. The finding of no test score improvement but a strong improvement in school attainment is consistent with a growing literature suggesting that interventions aimed at older children are more effective at improving their non-cognitive skills than their cognitive skills.
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|Date of creation:||Mar 2013|
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- Kling, Jeffrey R, 2001.
"Interpreting Instrumental Variables Estimates of the Returns to Schooling,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 19(3), pages 358-64, July.
- Jeffrey R. Kling, 2000. "Interpreting Instrumental Variables Estimates of the Returns to Schooling," NBER Working Papers 7989, National Bureau of Economic Research, Inc.
- Henry S. Farber & Jeffrey R. Kling & Alan Krueger, 1999. "Interpreting Instrumental Variables Estimates of the Returns to Schooling," Working Papers 794, Princeton University, Department of Economics, Industrial Relations Section..
- Brian A. Jacob & Steven D. Levitt, 2003.
"Rotten Apples: An Investigation Of The Prevalence And Predictors Of Teacher Cheating,"
The Quarterly Journal of Economics,
MIT Press, vol. 118(3), pages 843-877, August.
- Brian A. Jacob & Steven D. Levitt, 2003. "Rotten Apples: An Investigation of the Prevalence and Predictors of Teacher Cheating," NBER Working Papers 9413, National Bureau of Economic Research, Inc.
- Cullen, Julie Berry & Jacob, Brian A. & Levitt, Steven D., 2005.
"The impact of school choice on student outcomes: an analysis of the Chicago Public Schools,"
Journal of Public Economics,
Elsevier, vol. 89(5-6), pages 729-760, June.
- Julie Berry Cullen & Brian Jacob & Steven Levitt, 2000. "The Impact of School Choice on Student Outcomes: An Analysis of the Chicago Public Schools," NBER Working Papers 7888, National Bureau of Economic Research, Inc.
- Julie Berry Cullen & Brian A Jacob & Steven Levitt, 2006. "The Effect of School Choice on Participants: Evidence from Randomized Lotteries," Econometrica, Econometric Society, vol. 74(5), pages 1191-1230, 09.
- Schwartz, Amy Ellen & Stiefel, Leanna & Wiswall, Matthew, 2013. "Do small schools improve performance in large, urban districts? Causal evidence from New York City," Journal of Urban Economics, Elsevier, vol. 77(C), pages 27-40.
- Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2000.
"Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools,"
NBER Working Papers
7831, National Bureau of Economic Research, Inc.
- Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
- Evans, William N & Schwab, Robert M, 1995. "Finishing High School and Starting College: Do Catholic Schools Make a Difference?," The Quarterly Journal of Economics, MIT Press, vol. 110(4), pages 941-74, November.
- Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
- Derek Neal & Diane Whitmore Schanzenbach, 2010. "Left Behind by Design: Proficiency Counts and Test-Based Accountability," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 263-283, May.
- Janet Currie & Enrico Moretti, 2003. "Mother'S Education And The Intergenerational Transmission Of Human Capital: Evidence From College Openings," The Quarterly Journal of Economics, MIT Press, vol. 118(4), pages 1495-1532, November.
- Atila Abdulkadiroğlu & Weiwei Hu & Parag A. Pathak, 2013. "Small High Schools and Student Achievement: Lottery-Based Evidence from New York City," NBER Working Papers 19576, National Bureau of Economic Research, Inc.
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