Counterfactuals And Causal Inference

Author: Stephen L. Morgan
Editor: Cambridge University Press
ISBN: 9781107694163
File Size: 72,20 MB
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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.
Counterfactuals and Causal Inference
Language: en
Pages: 515
Authors: Stephen L. Morgan, Christopher Winship
Categories: Social Science
Type: BOOK - Published: 2014-11-17 - Publisher: Cambridge University Press

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;
Counterfactuals and Causal Inference
Language: en
Pages: 328
Authors: Stephen L. Morgan, Christopher Winship
Categories: Social Science
Type: BOOK - Published: 2007-07-30 - Publisher: Cambridge University Press

Did mandatory busing programs in the 1970s increase the school achievement of disadvantaged minority youth? Does obtaining a college degree increase an individual's labor market earnings? Did the use of a butterfly ballot in some Florida counties in the 2000 presidential election cost Al Gore votes? Simple cause-and-effect questions such
Counterfactuals and Causal Inference
Language: en
Pages:
Authors: Stephen L. Morgan, Christopher Winship
Categories: Social Science
Type: BOOK - Published: 2007-07-30 - Publisher: Cambridge University Press

Did mandatory busing programs in the 1970s increase the school achievement of disadvantaged minority youth? Does obtaining a college degree increase an individual's labor market earnings? Did the use of the butterfly ballot in some Florida counties in the 2000 presidential election cost Al Gore votes? If so, was the
Analytics, Policy, and Governance
Language: en
Pages: 261
Authors: Jennifer Bachner, Benjamin Ginsberg, Kathryn Wagner Hill
Categories: Government policy
Type: BOOK - Published: 2017-01-01 - Publisher: Yale University Press

Cover -- Half-title -- Title -- Copyright -- Contents -- Introduction -- PART I: ENGAGING THE DATA -- 1 Measuring Political and Policy Preferences Using Item Response Scaling -- 2 Causal Inference with Observational Data -- 3 Causal Inference with Experimental Data -- PART II: EMERGING DATA SOURCES AND TECHNIQUES
Case Studies and Causal Inference
Language: en
Pages: 257
Authors: Ingo Rohlfing
Categories: Political Science
Type: BOOK - Published: 2012-09-26 - Publisher: Palgrave Macmillan

A discussion of the case study method which develops an integrative framework for causal inference in small-n research. This framework is applied to research design tasks such as case selection and process tracing. The book presents the basics, state-of-the-art and arguments for improving the case study method and empirical small-n