Counterfactuals and Causal Inference - Methods and Principles for Social Research (Hardcover, 2nd Revised edition)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Series:	Analytical Methods for Social Research
Release date:	November 2014
Authors:	Stephen L. Morgan • Christopher Winship
Dimensions:	260 x 184 x 35mm (L x W x T)
Format:	Hardcover
Pages:	524
Edition:	2nd Revised edition
ISBN-13:	978-1-107-06507-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Sociology, social studies > Social research & statistics > General
LSN:	1-107-06507-0
Barcode:	9781107065079

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