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Discovering Opportunities in New York City's Discovery Program: Disadvantaged Students in Highly Competitive Markets

Published: 07 July 2023 Publication History

Abstract

Discovery program (DISC) is a policy used by the New York City Department of Education (NYC DOE) to increase the number of admissions of students from low socio-economic background to specialized high schools. This policy has been instrumental in increasing the number of disadvantaged students attending these schools, by reserving a percentage of seats to disadvantaged students that complete a three-week summer program (with a very high success rate [Hu, 2018]). However, assuming that students care more about the school they are assigned to rather than the type of seat they occupy (school-over-seat hypothesis), our empirical analysis using NYC DOE data from 12 recent academic years (2005--06 to 2016--17) shows that DISC creates about 950 in-group blocking pairs each year amongst disadvantaged students, impacting about 650 disadvantaged students every year. Moreover, we find that this program does not respect improvements as it benefits lower-performing disadvantaged students more than top-performing disadvantaged students by matching some of the former to more preferred schools, thus unintentionally creating an incentive to under-perform. These experimental results are confirmed by our theoretical analysis.

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    cover image ACM Conferences
    EC '23: Proceedings of the 24th ACM Conference on Economics and Computation
    July 2023
    1253 pages
    ISBN:9798400701047
    DOI:10.1145/3580507
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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    Published: 07 July 2023

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    EC '23
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    EC '23: 24th ACM Conference on Economics and Computation
    July 9 - 12, 2023
    London, United Kingdom

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    Overall Acceptance Rate 664 of 2,389 submissions, 28%

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