Dekorationsartikel gehören nicht zum Leistungsumfang.
Counterfactuals and Causal Inference
Methods and Principles for Social Research
Taschenbuch von Stephen L. Morgan (u. a.)
Sprache: Englisch

35,75 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

auf Lager, Lieferzeit 1-2 Werktage

Kategorien:
Beschreibung
This new edition aims to convince social scientists to take a counterfactual approach to the core questions of their fields.
This new edition aims to convince social scientists to take a counterfactual approach to the core questions of their fields.
Über den Autor
Stephen L. Morgan is the Bloomberg Distinguished Professor of Sociology and Education at Johns Hopkins University. He was previously the Jan Rock Zubrow '77 Professor in the Social Sciences and the director of the Center for the Study of Inequality at Cornell University. His current areas of interest include social stratification, the sociology of education, and quantitative methodology. He has published On the Edge of Commitment: Educational Attainment and Race in the United States (2005) and, as editor, the Handbook of Causal Analysis for Social Research (2013).
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2016
Genre: Soziologie
Rubrik: Wissenschaften
Medium: Taschenbuch
Seiten: 499
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781107694163
ISBN-10: 1107694167
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Morgan, Stephen L.
Winship, Christopher
Auflage: 2nd edition
Hersteller: Cambridge University Pr.
Abbildungen: 30 tables
Maße: 254 x 178 x 28 mm
Von/Mit: Stephen L. Morgan (u. a.)
Erscheinungsdatum: 01.02.2016
Gewicht: 0,974 kg
preigu-id: 105108356
Über den Autor
Stephen L. Morgan is the Bloomberg Distinguished Professor of Sociology and Education at Johns Hopkins University. He was previously the Jan Rock Zubrow '77 Professor in the Social Sciences and the director of the Center for the Study of Inequality at Cornell University. His current areas of interest include social stratification, the sociology of education, and quantitative methodology. He has published On the Edge of Commitment: Educational Attainment and Race in the United States (2005) and, as editor, the Handbook of Causal Analysis for Social Research (2013).
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2016
Genre: Soziologie
Rubrik: Wissenschaften
Medium: Taschenbuch
Seiten: 499
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781107694163
ISBN-10: 1107694167
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Morgan, Stephen L.
Winship, Christopher
Auflage: 2nd edition
Hersteller: Cambridge University Pr.
Abbildungen: 30 tables
Maße: 254 x 178 x 28 mm
Von/Mit: Stephen L. Morgan (u. a.)
Erscheinungsdatum: 01.02.2016
Gewicht: 0,974 kg
preigu-id: 105108356
Warnhinweis

Ähnliche Produkte

Ähnliche Produkte