Long-Term Contextual Effects in Education: Schools and Neighborhoods
Abstract
This paper estimates the long-term impact of growing up in better neighborhoods and attending better schools on educational attainment. First, I use a spatial regression-discontinuity design to estimate school effects. Second, I study students who move across neighborhoods in Montreal during childhood to estimate the causal effect of growing up in a better area (total exposure effects). I find large effects for both dimensions. Combining both research designs in a decomposition framework, and under key assumptions, I estimate that 50–70 percent of the benefits of moving to a better area on educational attainment are due to access to better schools. (JEL H75, I21, 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?
Laliberté (2021) estimates that 50-70 percent of the benefits of moving to a better area for educational attainment is due to access to better schools.
“For example, Laliberté (2021) take advantage of the fact that school catchment areas in Montreal differ across language groups, and estimate that 50-70 percent of the benefits of moving to a better area for educational attainment is due to access to better schools.”
From Educational Inequality* (2022) · cites this paper as Laliberté (2021)
Cites
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
The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior
Heckman, J. J., Stixrud, J., & Urzua, S. (2006) · Journal of Labor Economics · doi:10.1086/504455 · Cited by 4,427 · 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
Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood
Chetty, R., Friedman, J. N., & Rockoff, J. E. (2014) · American Economic Review · doi:10.1257/aer.104.9.2633 · Cited by 1,717 · see citing works
On the Specification and Estimation of the Production Function for Cognitive Achievement
Todd, P. E., & Wolpin, K. I. (2003) · The Economic Journal · doi:10.1111/1468-0297.00097 · Cited by 1,514 · see citing works
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
Flagged first, then by citations
Cited by
Sorted by citations
Blanden, J., Doepke, M., & Stuhler, J. (2022) · National Bureau of Economic Research · doi:10.3386/w29979 · Cited by 47 · see citing works
- Authors
- Laliberté, J.-W.
- Affiliations
- University of Calgary (CA)
- Corresponding author
- Laliberté, Jean-William
- Venue
- American Economic Journal: Economic Policy
- Publisher
- American Economic Association
- Published
- 2021-05-01
- Volume
- 13
- Issue
- 2
- Pages
- 336-377
- ISSN
- 1945-7731 (ISSN-L)
- 1945-774X
- OpenAlex
- W3168592551
- Cited by
- 69
- References
- 6
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 13 · 2023: 14 · 2022: 14 · 2021: 5 · 2020: 2 · 2019: 2 · 2018: 2
- FWCI
- 20.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Economic Journal Economic Policy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Sociology and Political Science › Urban, Neighborhood, and Segregation Studies
- Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
- Keywords
- educational attainment, neighborhood effects, school influence, residential mobility, spatial regression discontinuity design, long-term educational outcomes, Montreal
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
