COUNTERFACTUAL ANALYSIS
An immense amount of important work has been done in statistics and economics
in the past several decades developing a formal counterfactual approach to causal
analysis. It is, however, only recently that applied researchers in sociology
and the social sciences more generally have begun to use this methods in their
research. The purpose of this website is to provide researchers with access
to articles that should enable them to more easily use these methods in their
own work.
Papers
Authors' Personal Webpages
Non-Sociology Resources
If you would like to post a paper of yours at this website please contact me
at cwinship@wjh.harvard.edu.
Overviews:
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- Michael Sobel:
- Causal Inference in the Social and Behavioral Sciences
- Christopher Winship and Stephen L. Morgan:
- The Estimation of Causal Effects from Observational Data
- Christopher Winship and Michael Sobel:
- Causal Inference in Sociological Studies
Methodological Issues:
- Jennie E. Brand and Yu Xie:
- Identification and Estimation of Causal Effects with Time-Varying Treatments and Time-Varying Outcomes
- Derek Briggs
- Causal Inference
and the Heckman Model
- Thomas A. DiPrete and Henriette Engelhardt
- Estimating Causal Effects with Matching Methods in the Presence and Absence of Bias Cancellation
- Thomas A. DiPrete and Markus Gangl
- Assessing Bias in the Estimation of Causal Effects: Bounds on Matching Estimators and Instrumental Variables Estimation with Imperfect Instruments
- Markus Gangl and Thomas A. DiPrete
- Matching Methods for the Causal Analysis of Observational Data (in German)
- Stephen L. Morgan
- Should Sociologists Use Instrumental Variables? (updated December 2002)
- Stephen L. Morgan and David J. Harding
- Matching Estimators of
Causal Effects: From Stratification and Weighting to Practical Data
Analysis Routines
- Herbert L. Smith
- Matching with Multiple Controls to Estimate Treatment Effects in Observational Studies (through JSTOR)
- Christopher Winship and David J. Harding
- A General Strategy for the Identification of Age, Period, Cohort Models: A Mechanism Based Approach
Applications:
- Jennie E. Brand:
- Enduring Effects of Job Displacement on Career Outcomes (matching, propensity scores, conditional difference-in-difference, quantile treatment effects)
Jennie E. Brand:
The Effects of Job Displacement on Job Quality: Findings from the Wisconsin Lognitudinal Study
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- Jennie E. Brand and Charles N. Halaby:
- Regression and Matching Estimates of the Effects of Elite College Attendance on Education and Career Achievement (propensity scores, kernel, nearest neighbor, and stratification matching)
Jennie E. Brand and Yu Xie:
Who Benefits Most From College? Evidence for Negative Selection in Heterogenous Economic Returns to Higher Education
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- Thomas A. DiPrete, Dominique Goux, Eric Maurin, Amelie Quesnel-Vallee:
- Insecure Employment Relationships in Flexible and Regulated Labor Markets: Trend, Distribution, and Consequences in the United States and France (matching, propensity scores)
- Felix Elwert:
- Incarceration, Unemployment, and "Eursclerosis" (counterfactual reasoning, sensitivity analysis)
- David J. Harding:
- Conterfactual Models of Neighbornood Effects: The Effect of Neighborhood Poverty
on High School Dropout and Teenage Pregnancy (matching, propensity scores, sensitivity analysis)
- Stephen L. Morgan:
- Counterfactuals, Causal Effect Heterogeneity, and the Catholic School Effect
on Learning (matching, propensity scores)
- Stephen L. Morgan:
- Methodologist as Arbitrator: Five Models for Black-White Differences in
the Causal Effect of Expectations on Attainment (instrumental variables, analysis of bounds, path models)
- Stephen W. Raudenbush, Guanglei Hong, and Brian Rowan:
- Studying the Causal Effects of Instruction With Application to Primary-School Mathematics (time-varying covariates, inverse-probability-of-treatment weighting, hierarchical linear models, sensitivity analysis)
- Jennie E. Brand
- Derek Briggs
- Thomas A. DiPrete
- Felix Elwert
- Markus Gangl
- David Harding
- Stephen Morgan
- Stephen Raudenbush
- Herbert L. Smith
- Michael Sobel
- Christopher Winship
Harvard School of Public Health Program on Causal Inference(James Robins)
James Heckman's Research Center, University of Chicago
Paul Rosenbaum, University of Pennsylvania
Charles Manski, Northwestern University
Judea Pearl, UCLA
Joshua Angrist, MIT
Susan Murphy, University of Michigan
Guido W. Imbens, UC Berkeley
Alberto Abadie, Harvard University
Course Web Sites
Advanced Topics in Causal Inference
Scott R. Eliason
University of Minnesota
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Contact
617-495-9821
(Phone)
617-496-5794 (FAX)
620 William James Hall
33 Kirkland Street
Cambridge, MA 02138
Office Hours
By appointment
Staff Contact
Genevieve Butler
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