The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
6. A Diagnostic Routine for the Detection of Consequential Heterogeneity of Causal Effects
Abstract
Least squares regression estimates of causal effects are conditional-variance-weighted estimates of individual-level causal effects. In this paper, we extract from the literature on counterfactual causality a simple nine-step routine to determine whether or not the implicit weighting of regression has generated a misleading estimate of the average causal effect. The diagnostic routine is presented along with a detailed and original demonstration, using data from the 2002 and 2004 waves of the Education Longitudinal Study, for a contested but important causal effect in educational research: the effect of Catholic schooling, in comparison to public schooling, on the achievement of high school students in the United States.
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Cites
Causality: Models, Reasoning, and Inference
Pearl, J. (2009) · doi:10.1017/cbo9780511803161 · Cited by 11,653
Statistical Analysis with Missing Data
Little, R. J. A., & Rubin, D. B. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/9781119013563 · Cited by 8,473
Designing Social Inquiry: Scientific Inference in Qualitative Research
King, G., Keohane, R. O., & Verba, S. (1994) · Princeton University Press · doi:10.1515/9781400821211 · Cited by 7,225
Angrist, J. D., & Krueger, A. B. (2001) · Journal of Economic Perspectives · doi:10.1257/jep.15.4.69 · Cited by 2,355
Causal Inference Using Potential Outcomes: Design, Modeling, Decisions
Rubin, D. B. (2005) · Journal of the American Statistical Association · doi:10.1198/016214504000001880 · Cited by 2,173 · cited 1×
“…Modeling The most important foundational work on the counterfactual model of observational data analysis was completed in statistics and econometrics (see the citations offered in Heckman 2000, Manski 1995, Rosenbaum 2002, and Rubin 2005 to their own work and that of their respective predecessors).”
BackgroundEmpirical Strategies in Labor Economics
Angrist, J. D., & Krueger, A. B. (1999) · Handbook of Labor Economics · doi:10.1016/s1573-4463(99)03004-7 · Cited by 1,628
McCaffrey, D. F., Ridgeway, G., & Morral, A. R. (2004) · Psychological Methods · doi:10.1037/1082-989x.9.4.403 · Cited by 1,317
Counterfactuals and Causal Inference: Methods and Principles for Social Research
Morgan, S. L., & Winship, C. (2007) · doi:10.1017/cbo9780511804564 · Cited by 1,146
Self-citationCatholic Schools and the Common Good
BRYK, A. S., Lee, V. E., & Holland, P. B. (1993) · doi:10.4159/9780674029033 · Cited by 973
Matching to remove bias in observational studies
Rubin, D. B. (1973) · Biometrics · doi:10.2307/2529684 · Cited by 737
Cited by
Austin, P. C. (2011) · Multivariate Behavioral Research · doi:10.1080/00273171.2011.568786 · Cited by 12,242
Austin, P. C., & Stuart, E. A. (2015) · Statistics in Medicine · doi:10.1002/sim.6607 · Cited by 4,495
Austin, P. C. (2014) · Statistics in Medicine · doi:10.1002/sim.5984 · Cited by 1,422
The performance of different propensity score methods for estimating marginal hazard ratios
Austin, P. C. (2013) · Statistics in Medicine · doi:10.1002/sim.5705 · Cited by 1,006
The Causal Effects of Father Absence
McLanahan, S., Tach, L., & Schneider, D. (2013) · Annual Review of Sociology · doi:10.1146/annurev-soc-071312-145704 · Cited by 598
Metadata
- Authors
- Morgan, S. L., & Todd, J. J.
- Venue
- Sociological Methodology
- Publisher
- SAGE Publications
- Published
- 2008-07-01
- Volume
- 38
- Issue
- 1
- Pages
- 231-282
- ISSN
- 0081-1750 (ISSN-L)
- 1467-9531
- OpenAlex
- W2115590169
- Cited by
- 207
- References
- 10
- FWCI
- 4.04
- Type
- journal article
- Language
- en
- Open access
- closed
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