Are High-Quality Schools Enough to Increase Achievement Among the Poor? Evidence from the Harlem Children's Zone
Abstract
Harlem Children's Zone (HCZ), an ambitious social experiment, combines community programs with charter schools. We provide the first empirical test of the causal impact of HCZ charters on educational outcomes. Both lottery and instrumental variable identification strategies suggest that the effects of attending an HCZ middle school are enough to close the black-white achievement gap in mathematics. The effects in elementary school are large enough to close the racial achievement gap in both mathematics and ELA. We conclude with evidence that suggests high-quality schools are enough to significantly increase academic achievement among the poor. Community programs appear neither necessary nor sufficient. (JEL H75, I21, I28, J13, R23)
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
This concentration of effects in math is consistent with a broader literature in the economics of education finding that interventions often generate larger or more detectable impacts in math than in ELA.
“This concentration of effects in math is consistent with a broader literature in the economics of education finding that interventions often generate larger or more detectable impacts in math than in ELA (e.g., Dee and Jacob, 2011; Dobbie and Fryer Jr, 2011; Chetty, Friedman and Rockoff, 2014).”
From The Effects of School Phone Bans: National Evidence from Lockable Pouches (2026) · cites this paper as Dobbie and Fryer Jr, 2011
Cites
How Much Should We Trust Differences-in-Differences Estimates?
Bertrand, M., Duflo, E., & Mullainathan, S. (2004) · The Quarterly Journal of Economics · doi:10.1162/003355304772839588 · Cited by 10,641 · see citing works
Grit: perseverance and passion for long-term goals
Duckworth, A. L., Peterson, C., Matthews, M. D., & Kelly, D. R. (2007) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.92.6.1087 · Cited by 6,911 · see citing works
Teachers, Schools, and Academic Achievement
Rivkin, S. G., Hanushek, E. A., & Kain, J. F. (2005) · Econometrica · doi:10.1111/j.1468-0262.2005.00584.x · Cited by 4,501 · see citing works
Experimental Analysis of Neighborhood Effects
Kling, J. R., Liebman, J. B., & Katz, L. F. (2007) · Econometrica · doi:10.1111/j.1468-0262.2007.00733.x · Cited by 2,719 · see citing works
Anderson, M. L. (2008) · Journal of the American Statistical Association · doi:10.1198/016214508000000841 · Cited by 2,410 · see citing works
Lantz, P. M., House, J. S., Lepkowski, J. M., Williams, D. R., Mero, R. P., & Chen, J. (1998) · JAMA · doi:10.1001/jama.279.21.1703 · Cited by 1,514 · see citing works
Mass imprisonment and the life course: Race and class inequality in U.S. incarceration
Pettit, B., & Western, B. (2004) · American Sociological Review · doi:10.1177/000312240406900201 · Cited by 1,499 · see citing works
Remedying Education: Evidence from Two Randomized Experiments in India
Banerjee, A. V., Cole, S., Duflo, E., & Linden, L. (2007) · The Quarterly Journal of Economics · doi:10.1162/qjec.122.3.1235 · Cited by 1,398 · see citing works
Understanding the Black-White Test Score Gap in the First Two Years of School
Fryer, R. G., & Levitt, S. D. (2004) · Review of Economics and Statistics · doi:10.1162/003465304323031049 · Cited by 936 · see citing works
Self-citationJacob, B. A. (2005) · Journal of Public Economics · doi:10.1016/j.jpubeco.2004.08.004 · Cited by 751 · see citing works
Out-of-School-Time Programs: A Meta-Analysis of Effects for At-Risk Students
Lauer, P. A., Akiba, M., Wilkerson, S. B., Apthorp, H. S., Snow, D., & Martin-Glenn, M. L. (2006) · Review of Educational Research · doi:10.3102/00346543076002275 · Cited by 579 · see citing works
The Black-White Test Score Gap Through Third Grade
Fryer, R. G. (2006) · American Law and Economics Review · doi:10.1093/aler/ahl003 · Cited by 422 · see citing works
Self-citationGetting Beneath the Veil of Effective Schools: Evidence From New York City
Dobbie, W., & Fryer, R. G. (2013) · American Economic Journal: Applied Economics · doi:10.1257/app.5.4.28 · Cited by 352 · see citing works
Self-citationDynarski, S., Hyman, J., & Schanzenbach, D. W. (2013) · Journal of Policy Analysis and Management · doi:10.1002/pam.21715 · Cited by 223 · see citing works
Motivation, Test Scores, and Economic Success
Segal, C. (2009) · doi:10.2139/ssrn.1374222 · Cited by 52 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Getting Beneath the Veil of Effective Schools: Evidence From New York City
Dobbie, W., & Fryer, R. G. (2013) · American Economic Journal: Applied Economics · doi:10.1257/app.5.4.28 · Cited by 352 · see citing works
Self-citationAngrist, J. D., Cohodes, S. R., Dynarski, S. M., Pathak, P. A., & Walters, C. R. (2016) · Journal of Labor Economics · doi:10.1086/683665 · Cited by 294 · see citing works
Dynarski, S., Hyman, J., & Schanzenbach, D. W. (2013) · Journal of Policy Analysis and Management · doi:10.1002/pam.21715 · Cited by 223 · see citing works
Affirmative Action, Mismatch, and Economic Mobility after California’s Proposition 209
Bleemer, Z. (2021) · The Quarterly Journal of Economics · doi:10.1093/qje/qjab027 · Cited by 149 · see citing works
Pathways to New Accountability Through the Every Student Succeeds Act
Darling-Hammond, L., Bae, S., Cook-Harvey, C., Lam, L., Mercer, C., Podolsky, A., & Stosich, E. L. (2016) · Learning Policy Institute · doi:10.54300/966.414 · Cited by 127 · see citing works
von Hippel, P., & Hamrock, C. (2019) · Sociological Science · doi:10.15195/v6.a3 · Cited by 149 · see citing works
What Can Be Done To Improve Struggling High Schools?
Cullen, J. B., Levitt, S. D., Robertson, E., & Sadoff, S. (2013) · Journal of Economic Perspectives · doi:10.1257/jep.27.2.133 · Cited by 61 · see citing works
High-Dosage Tutoring and Reading Achievement: Evidence from New York City
Fryer, R. G., & Howard-Noveck, M. (2020) · Journal of Labor Economics · doi:10.1086/705882 · Cited by 36 · see citing works
Self-citationThe Effects of School Phone Bans: National Evidence from Lockable Pouches
Allcott, H., Baron, E. J., Dee, T., Duckworth, A., Gentzkow, M., & Jacob, B. (2026) · National Bureau of Economic Research Working Paper · doi:10.3386/w35132 · Cited by 1 · see citing works
- Authors
- Dobbie, W., & Fryer, R. G.
- Affiliations
- Harvard University (US)
- National Bureau of Economic Research (US)
- ORCID
- Fryer, Roland G
- Venue
- American Economic Journal: Applied Economics
- Publisher
- American Economic Association
- Published
- 2011-07-01
- Volume
- 3
- Issue
- 3
- Pages
- 158-187
- ISSN
- 1945-7782 (ISSN-L)
- 1945-7790
- OpenAlex
- W1998191912
- Cited by
- 536
- References
- 15
- Citations by year
- 2026: 5 · 2025: 16 · 2024: 14 · 2023: 38 · 2022: 45 · 2021: 33 · 2020: 30 · 2019: 32 · 2018: 43 · 2017: 48 · 2016: 66 · 2015: 48 · 2014: 40 · 2013: 37 · 2012: 19
- FWCI
- 178.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Economic Journal Applied Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Education › Parental Involvement in Education
- Social Sciences › Education › Early Childhood Education and Development
- Keywords
- charter schools, educational attainment, racial achievement gap, Black-White achievement gap, low-income students, community-based programs, junior high school, elementary school, mathematics achievement, English language arts, school quality, social experiment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review