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Counterfactuals and causal inference : methods and principles for social research /
"In this book, the counterfactual model of causality for observational data analysis is presented, and methods for causal effect estimation are demonstrated using examples from sociology, political science, and economics."--Jacket.
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| Formato: | Libro |
| Lenguaje: | English |
| Publicado: |
New York :
Cambridge University Press,
2007.
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| Colección: | Analytical methods for social research
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| Materias: |
Tabla de Contenidos:
- Part I. Counterfactual Causality and Empirical Research in the Social Sciences
- 1. Introduction
- 2. The counterfactual model
- Part II. Estimating Causal Effects by Conditioning
- 3. Causal graphs, identification, and models of causal exposure
- 4. Matching estimators of causal effects
- 5. Regression estimators of causal effects
- Part III. Estimating Causal Effects When Simple Conditioning is Ineffective
- 6. Identification in the absence of a complete model of causal exposure
- 7. Natural experiments and instrumental variables
- 8. Mechanisms and causal explanation
- 9. Repeated observations and the estimation of causal effects
- Part IV. Conclusions
- 10. Counterfactual causality and future empirical research in the social sciences.