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  • 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. (xsd:string)
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  • 2008 (xsd:gyear)
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  • 2008 (xsd:gyear)
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  • Englisch (EN) (xsd:string)
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  • 9780521671934 ()
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  • Counterfactuals and causal inference : methods and principles for social research (xsd:string)
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  • Buch (de)
  • Monographie (xsd:string)
  • book (en)
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  • Cambridge: Cambridge Univ. Press, 2008.- XI, 319 S. (xsd:string)
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