Format:
1 Online-Ressource (XXIII, 499 Seiten)
Edition:
Second edition
ISBN:
9781107587991
,
9781107065079
,
9781107694163
Series Statement:
Cambridge books online
Content:
In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, conditioning techniques, such as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.
Content:
Machine generated contents note: Part I. Causality and Empirical Research in the Social Sciences: 1. Introduction; Part II. Counterfactuals, Potential Outcomes, and Causal Graphs: 2. Counterfactuals and the potential-outcome model; 3. Causal graphs; Part III. Estimating Causal Effects by Conditioning on Observed Variables to Block Backdoor Paths: 4. Models of causal exposure and identification criteria for conditioning estimators; 5. Matching estimators of causal effects; 6. Regression estimators of causal effects; 7. Weighted regression estimators of causal effects; Part IV. Estimating Causal Effects When Backdoor Conditioning is Ineffective: 8. Self-selection, heterogeneity, and causal graphs; 9. Instrumental-variable estimators of causal effects; 10. Mechanisms and causal explanation; 11. Repeated observations and the estimation of causal effects; Part V. Estimation When Causal Effects Are Not Point Identified by Observables: 12. Distributional assumptions, set identification, and sensitivity analysis; Part VI. Conclusions: 13. Counterfactuals and the future of empirical research in observational social science
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Additional Edition:
ISBN 9781107065079
Additional Edition:
ISBN 9781107694163
Additional Edition:
Erscheint auch als Druck-Ausgabe Morgan, Stephen L., 1971 - Counterfactuals and causal inference Cambridge : Cambridge University Press, 2015 ISBN 9781107694163
Additional Edition:
ISBN 9781107065079
Additional Edition:
Erscheint auch als Druck-Ausgabe Morgan, Stephen L., 1971 - Counterfactuals and causal inference Cambridge : Cambridge University Press, 2015 ISBN 9781107694163
Additional Edition:
ISBN 9781107065079
Language:
English
Subjects:
Economics
,
Mathematics
,
Sociology
Keywords:
Empirische Sozialforschung
;
Methodologie
;
Sozialwissenschaften
DOI:
10.1017/CBO9781107587991
DOI:
10.1017/CBO9781107587991
URL:
Volltext
(lizenzpflichtig)
