Counterfactuals and causal inference : methods and principles for social research / Stephen L. Morgan and Christopher Winship.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9780511350122
- 0511350120
- 0511349262
- 9780511349263
- 9780511804564
- 0511804563
- 9780511348297
- 0511348290
- Social sciences -- Research
- Social sciences -- Methodology
- Causation
- Social sciences -- Statistical methods
- Causality
- Sciences sociales -- Recherche
- Sciences sociales -- Méthodologie
- Sciences sociales -- Méthodes statistiques
- Causalité
- SOCIAL SCIENCE -- Research
- SOCIAL SCIENCE -- Methodology
- Causation
- Social sciences -- Methodology
- Social sciences -- Research
- Methode
- Sozialwissenschaften
- Sociaal-wetenschappelijk onderzoek
- Causaliteit
- Inferência estatística
- Causalidade
- Metodologia da pesquisa
- Causalité
- Sciences sociales -- Recherche
- Sciences sociales -- Méthodologie
- 300.72 22
- H62 .M646 2007
- 70.03
- QH 253
Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
![]() |
OPJGU Sonepat- Campus | E-Books EBSCO | Available |
Includes bibliographical references (pages 291-316) and index.
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.
"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
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - Worldwide
There are no comments on this title.