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Research ArticleArticles

Who Benefits from a Smaller Honors Track?

Zachary Szlendak and Richard Mansfield
Published online before print February 05, 2024, 0622-12391R1; DOI: https://doi.org/10.3368/jhr.0622-12391R1
Zachary Szlendak
Zachary Szlendak is an economist at the Institute for Defense Analyses.
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Richard Mansfield
Richard Mansfield is an assistant professor at the University of Colorado-Boulder.
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References

    1. A. Abdulkadiroğlu,
    2. J. Angrist, and
    3. P. Pathak
    . The elite illusion: Achievement effects at boston and new york exam schools. Econometrica, 82(1):137–196, 2014.
    OpenUrlCrossRef
    1. T. Ahn and
    2. J. Vigdor
    . The impact of no child left behind’s accountability sanctions on school performance: Regression discontinuity evidence from north carolina. Technical report, National Bureau of Economic Research, 2014.
    1. J. G. Altonji and
    2. R. K. Mansfield
    . Estimating group effects using averages of observables to control for sorting on unobservables: School and neighborhood effects. American Economic Review, 108(10):2902–46, 2018.
    OpenUrl
    1. J. D. Angrist and
    2. V. Lavy
    . Using maimonides’ rule to estimate the effect of class size on scholastic achievement. The Quarterly journal of economics, 114(2):533–575, 1999.
    OpenUrlCrossRefWeb of Science
    1. K. Antonovics,
    2. S. E. Black,
    3. J. B. Cullen, and
    4. A. Y. Meiselman
    . Patterns, determinants, and consequences of ability tracking: Evidence from texas public schools. Technical report, National Bureau of Economic Research, 2022.
    1. D. Archbald and
    2. J. Keleher
    . Measuring conditions and consequences of tracking in the high school curriculum. American Secondary Education, pages 26–42, 2008.
    1. L. M. Argys,
    2. D. I. Rees, and
    3. D. J. Brewer
    . Detracking america’s schools: Equity at zero cost? Journal of Policy analysis and Management, pages 623–645, 1996.
    1. J. R. Betts
    . The economics of tracking in education. In Handbook of the Economics of Education, volume 3, pages 341–381. Elsevier, 2011.
    OpenUrl
    1. J. R. Betts and
    2. J. L. Shkolnik
    . The effects of ability grouping on student achievement and resource allocation in secondary schools. Economics of Education Review, 19(1):1–15, 2000.
    OpenUrlCrossRef
    1. G. F. Branch,
    2. E. A. Hanushek, and
    3. S. G. Rivkin
    . Estimating the effect of leaders on public sector productivity: The case of school principals. Technical report, National Bureau of Economic Research, 2012.
    1. S. A. Bui,
    2. S. G. Craig, and
    3. S. A. Imberman
    . Is gifted education a bright idea? assessing the impact of gifted and talented programs on students. American Economic Journal: Economic Policy, 6(3):30–62, 2014.
    OpenUrlCrossRef
    1. D. Card and
    2. L. Giuliano
    . Can tracking raise the test scores of high-ability minority students? American Economic Review, 106(10):2783–2816, 2016.
    OpenUrl
    1. D. Card and
    2. J. Rothstein
    . Racial segregation and the black–white test score gap. Journal of Public Economics, 91(11-12):2158–2184, 2007.
    OpenUrlCrossRefWeb of Science
    1. S. E. Carrell,
    2. B. I. Sacerdote, and
    3. J. E. West
    . From natural variation to optimal policy? the importance of endogenous peer group formation. Econometrica, 81(3):855–882, 2013.
    OpenUrlCrossRefWeb of Science
    1. S. R. Cohodes
    . The long-run impacts of specialized programming for high-achieving students. American Economic Journal: Economic Policy, 12(1):127–66, 2020.
    OpenUrl
    1. J. B. Cook and
    2. R. K. Mansfield
    . Task-specific experience and task-specific talent: Decomposing the productivity of high school teachers. Journal of Public Economics, 140:51–72, 2016.
    OpenUrl
    1. W. Dobbie and
    2. R. G. Fryer Jr.
    The impact of attending a school with high-achieving peers: Evidence from the new york city exam schools. American Economic Journal: Applied Economics, 6(3):58–75, 2014.
    OpenUrlCrossRef
    1. E. Duflo,
    2. P. Dupas, and
    3. M. Kremer
    . Peer effects, teacher incentives, and the impact of tracking: Evidence from a randomized evaluation in kenya. American Economic Review, 101(5):1739–74, 2011.
    OpenUrlCrossRef
    1. D. Epple,
    2. E. Newlon, and
    3. R. Romano
    . Ability tracking, school competition, and the distribution of educational benefits. Journal of Public Economics, 83(1):1–48, 2002.
    OpenUrlCrossRefWeb of Science
    1. D. N. Figlio and
    2. M. E. Page
    . School choice and the distributional effects of ability tracking: does separation increase inequality? Journal of Urban Economics, 51(3):497–514, 2002.
    OpenUrlCrossRefWeb of Science
    1. J. Fortin
    . California tries to close the gap in math, but sets off a backlash. The New York Times, 2021. URL https://www.nytimes.com/2021/11/04/us/california-math-curriculum-guidelines.html.
    1. J. C. Fruehwirth
    . Identifying peer achievement spillovers: Implications for desegregation and the achievement gap. Quantitative Economics, 4(1):85–124, 2013.
    OpenUrl
    1. C. Fu and
    2. N. Mehta
    . Ability tracking, school and parental effort, and student achievement: A structural model and estimation. Journal of Labor Economics, 36(4):923–979, 2018.
    OpenUrl
    1. T. B. Hoffer
    . Middle school ability grouping and student achievement in science and mathematics. Educational evaluation and policy analysis, 14(3):205–227, 1992.
    OpenUrlCrossRefWeb of Science
    1. S. A. Imberman,
    2. A. D. Kugler, and
    3. B. I. Sacerdote
    . Katrina’s children: Evidence on the structure of peer effects from hurricane evacuees. American Economic Review, 102(5):2048–82, 2012.
    OpenUrlCrossRef
    1. L. Lefgren
    . Educational peer effects and the chicago public schools. Journal of Urban Economics, 56(2): 169–191, 2004.
    1. M. C. Long,
    2. D. Conger, and
    3. P. Iatarola
    . Effects of high school course-taking on secondary and postsecondary success. American Educational Research Journal, 49(2):285–322, 2012.
    OpenUrlCrossRef
    1. T. Loveless
    . The tracking wars: State reform meets school policy. Brookings Institution Press, 2011.
    1. R. K. Mansfield
    . Teacher quality and student inequality. Journal of Labor Economics, 33(3):751–788, 2015.
    OpenUrl
    1. J. Mathews
    . Virginia allies with, then backs away from, controversial math antitracking movement. The Washington Post, 2021. URL https://www.washingtonpost.com/local/education/fairfax-county-schools-math-classes-tracking/2021/04/29/197aa29c-a7a2-11eb-8d25-7b30e74923ea_story.html.
    1. N. Mehta,
    2. R. Stinebrickner, and
    3. T. Stinebrickner
    . Time-use and academic peer effects in college. Economic Inquiry, 57(1):162–171, 2019. doi: 10.1111/ecin.12730. URL https://onlinelibrary.wiley.com/doi/abs/10.1111/ecin.12730.
    OpenUrlCrossRef
    1. Z. Pei,
    2. J.-S. Pischke, and
    3. H. Schwandt
    . Poorly measured confounders are more useful on the left than on the right. Journal of Business & Economic Statistics, 37(2):205–216, 2019.
    OpenUrl
    1. J.-S. Pischke and
    2. A. Manning
    . Comprehensive versus selective schooling in england in wales: What do we know? Working Paper 12176, National Bureau of Economic Research, April 2006. URL http://www.nber.org/papers/w12176.
    1. J. A. Smith and
    2. P. E. Todd
    . Reconciling conflicting evidence on the performance of propensity-score matching methods. American Economic Review, 91(2):112–118, 2001.
    OpenUrlCrossRefWeb of Science
    1. G. Solon,
    2. S. J. Haider, and
    3. J. M. Wooldridge
    . What are we weighting for? Journal of Human resources, 50 (2):301–316, 2015.
    OpenUrlAbstract/FREE Full Text
    1. J. H. Stock and
    2. M. Yogo
    . Testing for weak instruments in linear iv regression, 2002. US News and World Report. Best states 2019. Technical report, 2019.
    1. J. L
    . Vigdor et al. Teacher salary bonuses in north carolina. In Conference paper, National Center on Performance Incentives.-0.026, 2008.
    1. R. Zimmer
    . A new twist in the educational tracking debate. Economics of Education Review, 22(3):307–315, 2003.
    OpenUrlCrossRefWeb of Science
    1. J. D. Zinth
    . End-of-course exams. Education Commission of the States (NJ3), 2012.
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Journal of Human Resources: 60 (3)
Journal of Human Resources
Vol. 60, Issue 3
1 May 2025
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Who Benefits from a Smaller Honors Track?
Zachary Szlendak, Richard Mansfield
Journal of Human Resources Feb 2024, 0622-12391R1; DOI: 10.3368/jhr.0622-12391R1

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Who Benefits from a Smaller Honors Track?
Zachary Szlendak, Richard Mansfield
Journal of Human Resources Feb 2024, 0622-12391R1; DOI: 10.3368/jhr.0622-12391R1
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