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The Impact of Chicago's Small High School Initiative

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Abstract

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, including having prior test scores that are about 0.2 standard deviations lower than their elementary school classmates. 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. The distance-to-small-school variable has strong predictive power to identify who attends a small school. 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.

Suggested Citation

  • Lisa Barrow & Amy Claessens & Diane Whitmore Schanzenbach, 2014. "The Impact of Chicago's Small High School Initiative," Working Paper Series WP-2014-20, Federal Reserve Bank of Chicago.
  • Handle: RePEc:fip:fedhwp:wp-2014-20
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    1. 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.
    2. 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 358-364, July.
    3. 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.
    4. Unknown, 2009. "Selected Paper Abstracts, Annual Meetings," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(2), August.
    5. 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.
    6. William N. Evans & Robert M. Schwab, 1995. "Finishing High School and Starting College: Do Catholic Schools Make a Difference?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 941-974.
    7. 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.
    8. מחקר - ביטוח לאומי, 2009. "Annual Survey 2008," Working Papers 18, National Insurance Institute of Israel.
    9. 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.
    10. Unknown, 2009. "Selected Posters, SAEA 2009, Annual Meeting," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(2), August.
    11. Brian A. Jacob & Steven D. Levitt, 2003. "Rotten Apples: An Investigation of the Prevalence and Predictors of Teacher Cheating," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 843-877.
    12. Howard S. Bloom & Rebecca Unterman, 2014. "Can Small High Schools of Choice Improve Educational Prospects for Disadvantaged Students?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 33(2), pages 290-319, March.
    13. 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, September.
    14. Janet Currie & Enrico Moretti, 2003. "Mother's Education and the Intergenerational Transmission of Human Capital: Evidence from College Openings," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1495-1532.
    15. 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.
    16. AfDB AfDB, . "AfDB Group Annual Report 2008," Annual Report, African Development Bank, number 64 edited by Koua Louis Kouakou.
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    Cited by:

    1. Olivier De Groote & Koen Declercq, 2021. "Tracking and specialization of high schools: Heterogeneous effects of school choice," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 898-916, November.
    2. Holmlund, Helena & Böhlmark, Anders, 2019. "Does grade configuration matter? Effects of school reorganisation on pupils’ educational experience," Journal of Urban Economics, Elsevier, vol. 109(C), pages 14-26.
    3. Philip J. Cook & Kenneth Dodge & George Farkas & Roland G. Fryer, Jr & Jonathan Guryan & Jens Ludwig & Susan Mayer & Harold Pollack & Laurence Steinberg, 2014. "The (Surprising) Efficacy of Academic and Behavioral Intervention with Disadvantaged Youth: Results from a Randomized Experiment in Chicago," NBER Working Papers 19862, National Bureau of Economic Research, Inc.
    4. Beuchert, Louise & Humlum, Maria Knoth & Nielsen, Helena Skyt & Smith, Nina, 2018. "The short-term effects of school consolidation on student achievement: Evidence of disruption?," Economics of Education Review, Elsevier, vol. 65(C), pages 31-47.
    5. Holmlund, Helena & Böhlmark, Anders, 2017. "Does grade configuration matter for school performance? Short- and long-run effects of school reorganisation," Working Paper Series 2017:6, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    6. Astrid Marie Jorde Sandsør & Torberg Falch & Bjarne Strøm, 2022. "Long‐run Effects of Local Government Mergers on Educational Attainment and Income," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 185-213, February.
    7. Schwartz, Amy Ellen & Stiefel, Leanna & Wiswall, Matthew, 2016. "Are all schools created equal? Learning environments in small and large public high schools in New York City," Economics of Education Review, Elsevier, vol. 52(C), pages 272-290.
    8. Julie Berry Cullen & Steven D. Levitt & Erin Robertson & Sally Sadoff, 2013. "What Can Be Done to Improve Struggling High Schools?," Journal of Economic Perspectives, American Economic Association, vol. 27(2), pages 133-152, Spring.

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    More about this item

    Keywords

    Chicago Public School (CPS); high school;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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