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Counterfactuals and Causal Inference: Methods and Principles for Social Research by Stephen L Morgan
89.00 SAR

Counterfactuals and Causal Inference: Methods and Principles for Social Research by Stephen L Morgan

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89.00 SAR 

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Category Type
Social Sciences
Author
Stephen L Morgan
Publisher
Cambridge University Press 
Book Language
English
Description:

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, ...

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PRODUCT INFORMATION

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    Specifications

    Category Type
    Social Sciences
    Item EAN
    2724327618066
    People
    Author
    Stephen L Morgan
    People
    Publisher
    Cambridge University Press 
    Languages and countries
    Book Language
    English
    Category Type
    Social Sciences
    Item EAN
    2724327618066
    People
    Author
    Stephen L Morgan
    People
    Publisher
    Cambridge University Press 
    Languages and countries
    Book Language
    English
    Read more
  •  

    Description:

    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

    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

 

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