Selection on observed and unobserved variables: Assessing the effectiveness of Catholic schools
Abstract
In this paper we measure the effect of Catholic high school attendance on educational attainment and test scores. Because we do not have a good instrumental variable for Catholic school attendance, we develop new estimation methods based on the idea that the amount of selection on the observed explanatory variables in a model provides a guide to the amount of selection on the unobservables. We also propose an informal way to assess selectivity bias based on measuring the ratio of selection on unobservables to selection on observables that would be required if one is to attribute the entire effect of Catholic school attendance to selection bias. We use our methods to estimate the effect of attending a Catholic high school on a variety of outcomes. Our main conclusion is that Catholic high schools substantially increase the probability of graduating from high school and, more tentatively, attending college. We find little evidence of an effect on test scores.
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Oster (2019) and Altonji, Elder and Taber (2005) provide conditions under which stability of coefficients to observable controls can help rule out selection on unobservables.
“Moreover, Oster (2019) and Altonji, Elder and Taber (2005) provide conditions under which the stability of coefficients to the inclusion of observable controls can also help rule out selection on unobservables.”
From Still Waters, Rapid Currents: Early Labor Market Transformation under Generative AI (2025) · cites this paper as Altonji, Elder and Taber (2005)
Selection-on-unobservables bounding methods show that an implausibly large degree of sorting on unobservables would be needed to explain away the estimated effects of absences on high school completion and college enrollment.
“We apply selection-on-unobservables bounding methods to our baseline value-added models to show that an implausibly large degree of sorting on unobservables is needed to explain away the estimated effects of absences on high school completion and college enrollment”
From The short- and long-run impacts of secondary school absences (2021) · cites this paper as Altonji et al., 2005
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References 48 · Cited by 3,706
- Authors
- Altonji, J. G., Elder, T. E., & Taber, C. R.
- Affiliations
- Yale University (US)
- University of Illinois Urbana-Champaign (US)
- Northwestern University (US)
- ORCID
- Altonji, Joseph G.
- Venue
- Journal of Political Economy
- Publisher
- University of Chicago Press
- Published
- 2005-02
- Volume
- 113
- Issue
- 1
- Pages
- 151-184
- ISSN
- 0022-3808 (ISSN-L)
- 1537-534X
- OpenAlex
- W2100673825
- Cited by
- 3,706
- References
- 48
- Citations by year
- 2026: 231 · 2025: 267 · 2024: 241 · 2023: 248 · 2022: 268 · 2021: 271 · 2020: 253 · 2019: 235 · 2018: 224 · 2017: 186 · 2016: 205 · 2015: 205 · 2014: 162 · 2013: 144 · 2012: 127
- FWCI
- 235.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Political Economy (publishedVersion)
- Topics
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- Catholic schools, school choice, selection bias, high school graduation, college attendance, test scores, educational attainment, estimation methods
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