IDEAS home Printed from https://ideas.repec.org/p/fip/fedhwp/wp-2016-17.html
   My bibliography  Save this paper

The Role of Selective High Schools in Equalizing Educational Outcomes: Heterogeneous Effects by Neighborhood Socioeconomic Status

Author

Listed:
  • Lisa Barrow
  • Marisa de la Torre
  • Lauren Sartain

Abstract

We investigate whether elite Chicago public high schools can help close the achievement gap between high-achieving students from more and less affluent neighborhoods. Seats are allocated based on prior achievement with 70 percent reserved for high-achieving applicants from four neighborhood socioeconomic status (SES) categories. Using regression discontinuity design, we find no effect on test scores or college attendance for students from high- or low-SES neighborhoods and positive effects on student reports of their experiences. For students from low-SES neighborhoods, we estimate significant negative effects on rank in high school, grades and the probability of attending a selective college.

Suggested Citation

  • Lisa Barrow & Marisa de la Torre & Lauren Sartain, 2016. "The Role of Selective High Schools in Equalizing Educational Outcomes: Heterogeneous Effects by Neighborhood Socioeconomic Status," Working Paper Series WP-2016-17, Federal Reserve Bank of Chicago.
    • Handle: RePEc:fip:fedhwp:wp-2016-17
    as

    Download full text from publisher

    File URL: https://chicagofed.org/~/media/publications/working-papers/2016/wp2016-17-pdf.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Card & Laura Giuliano, 2016. "Can Tracking Raise the Test Scores of High-Ability Minority Students?," American Economic Review, American Economic Association, vol. 106(10), pages 2783-2816, October.
    2. Sa A. Bui & Steven G. Craig & Scott A. Imberman, 2014. "Is Gifted Education a Bright Idea? Assessing the Impact of Gifted and Talented Programs on Students," American Economic Journal: Economic Policy, American Economic Association, vol. 6(3), pages 30-62, August.
    3. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    4. Will Dobbie & Roland G. Fryer, Jr., 2011. "Exam High Schools and Academic Achievement: Evidence from New York City," NBER Working Papers 17286, National Bureau of Economic Research, Inc.
    5. Esther Duflo & Pascaline Dupas & Michael Kremer, 2011. "Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya," American Economic Review, American Economic Association, vol. 101(5), pages 1739-1774, August.
    6. Clark Damon, 2010. "Selective Schools and Academic Achievement," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-40, February.
    7. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 681-704.
    8. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    9. Miles Corak, 2013. "Income Inequality, Equality of Opportunity, and Intergenerational Mobility," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 79-102, Summer.
    10. 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.
    11. Cristian Pop-Eleches & Miguel Urquiola, 2013. "Going to a Better School: Effects and Behavioral Responses," American Economic Review, American Economic Association, vol. 103(4), pages 1289-1324, June.
    12. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2006. "The Polarization of the U.S. Labor Market," American Economic Review, American Economic Association, vol. 96(2), pages 189-194, May.
    13. Will Dobbie & Roland G. Fryer Jr., 2014. "The Impact of Attending a School with High-Achieving Peers: Evidence from the New York City Exam Schools," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 58-75, July.
    14. Atila Abdulkadiroğlu & Joshua Angrist & Parag Pathak, 2014. "The Elite Illusion: Achievement Effects at Boston and New York Exam Schools," Econometrica, Econometric Society, vol. 82(1), pages 137-196, January.
    15. Geiser, Saul & Maria Veronica Santelices, 2007. "Validity Of High-School Grades In Predicting Student Success Beyond The Freshman Year: High-School Record vs. Standardized Tests as Indicators of Four-Year College Outcomes," University of California at Berkeley, Center for Studies in Higher Education qt7306z0zf, Center for Studies in Higher Education, UC Berkeley.
    16. C. Kirabo Jackson, 2010. "Do Students Benefit from Attending Better Schools? Evidence from Rule-based Student Assignments in Trinidad and Tobago," Economic Journal, Royal Economic Society, vol. 120(549), pages 1399-1429, December.
    17. Wojciech Kopczuk & Emmanuel Saez & Jae Song, 2010. "Earnings Inequality and Mobility in the United States: Evidence from Social Security Data Since 1937," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 91-128.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Atı̇la Abdulkadı̇roğlu & Joshua D. Angrist & Yusuke Narita & Parag Pathak, 2022. "Breaking Ties: Regression Discontinuity Design Meets Market Design," Econometrica, Econometric Society, vol. 90(1), pages 117-151, January.
    2. Atila Abdulkadiroglu & Joshua D. Angrist & Yusuke Narita & Parag A. Pathak, 2017. "Impact Evaluation in Matching Markets with General Tie-Breaking," NBER Working Papers 24172, National Bureau of Economic Research, Inc.
    3. Shi, Ying, 2020. "Who benefits from selective education? Evidence from elite boarding school admissions," Economics of Education Review, Elsevier, vol. 74(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shi, Ying, 2020. "Who benefits from selective education? Evidence from elite boarding school admissions," Economics of Education Review, Elsevier, vol. 74(C).
    2. Zhang, Hongliang, 2016. "Identification of treatment effects under imperfect matching with an application to Chinese elite schools," Journal of Public Economics, Elsevier, vol. 142(C), pages 56-82.
    3. Atila Abdulkadiroğlu & Joshua Angrist & Parag Pathak, 2014. "The Elite Illusion: Achievement Effects at Boston and New York Exam Schools," Econometrica, Econometric Society, vol. 82(1), pages 137-196, January.
    4. de Roux, Nicolás & Riehl, Evan, 2022. "Do college students benefit from placement into higher-achieving classes?," Journal of Public Economics, Elsevier, vol. 210(C).
    5. Park, Albert & Shi, Xinzheng & Hsieh, Chang-tai & An, Xuehui, 2015. "Magnet high schools and academic performance in China: A regression discontinuity design," Journal of Comparative Economics, Elsevier, vol. 43(4), pages 825-843.
    6. Dalla-Zuanna, Antonio & Liu, Kai & Salvanes, Kjell G, 2022. "Pulled-in and Crowded-out: Heterogeneous Outcomes of Merit-based School Choice," CEPR Discussion Papers 16853, C.E.P.R. Discussion Papers.
    7. Adrienne M. Lucas & Isaac M. Mbiti, 2014. "Effects of School Quality on Student Achievement: Discontinuity Evidence from Kenya," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 234-263, July.
    8. Estrada, Ricardo & Gignoux, Jérémie, 2017. "Benefits to elite schools and the expected returns to education: Evidence from Mexico City," European Economic Review, Elsevier, vol. 95(C), pages 168-194.
    9. Miguel Urquiola, 2015. "Progress and challenges in achieving an evidence-based education policy in Latin America and the Caribbean," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 24(1), pages 1-30, December.
    10. Anderson, Kathryn & Gong, Xue & Hong, Kai & Zhang, Xi, 2016. "Do selective high schools improve student achievement? Effects of exam schools in China," China Economic Review, Elsevier, vol. 40(C), pages 121-134.
    11. Pastore, Chiara & Jones, Andrew M., 2023. "Human capital consequences of missing out on a grammar school education," Economic Modelling, Elsevier, vol. 126(C).
    12. Jeffrey T. Denning & Richard Murphy & Felix Weinhardt, 2023. "Class Rank and Long-Run Outcomes," The Review of Economics and Statistics, MIT Press, vol. 105(6), pages 1426-1441, November.
    13. Christopher Belfield & Imran Rasul, 2020. "Cognitive and Non‐Cognitive Impacts of High‐Ability Peers in Early Years," Fiscal Studies, John Wiley & Sons, vol. 41(1), pages 65-100, March.
    14. Clark, Damon & Del Bono, Emilia, 2014. "The Long-Run Effects of Attending an Elite School: Evidence from the UK," IZA Discussion Papers 8617, Institute of Labor Economics (IZA).
    15. Akyol, Pelin & Krishna, Kala, 2017. "Preferences, selection, and value added: A structural approach," European Economic Review, Elsevier, vol. 91(C), pages 89-117.
    16. Ahmet Alkan & Sinan Sarpça & Sinan Sarpca, 2023. "Effects of High-Achieving Peers: Findings from a National High School Assignment System," CESifo Working Paper Series 10794, CESifo.
    17. David Card & Laura Giuliano, 2016. "Can Tracking Raise the Test Scores of High-Ability Minority Students?," American Economic Review, American Economic Association, vol. 106(10), pages 2783-2816, October.
    18. Bergman, Peter & Kopko, Elizabeth & Rodriguez, Julio, 2021. "Using Predictive Analytics to Track Students: Evidence from a Seven-College Experiment," IZA Discussion Papers 14500, Institute of Labor Economics (IZA).
    19. Luflade, Margaux & Zaiem, Meryam, 2024. "Do elite schools improve students performance? Evidence from Tunisia," Economics of Education Review, Elsevier, vol. 100(C).
    20. Alexandra de Gendre & Nicolás Salamanca, 2020. "On the Mechanisms of Ability Peer Effects," Melbourne Institute Working Paper Series wp2020n19, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

    More about this item

    Keywords

    Educational equalization; high school; low-income; regression analysis; universities and colleges admission;
    All these keywords.

    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedhwp:wp-2016-17. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lauren Wiese (email available below). General contact details of provider: https://edirc.repec.org/data/frbchus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.