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The Sage handbook of regression analysis and causal inference

Contributor(s): Best, Henning [Editor] | Wolf, Christof [Editor].
Publisher: Los Angeles Sage Reference 2015Description: ix, 414 p.ISBN: 9781446252444.Subject(s): Mathematical statistics | Regression analysisDDC classification: 519.5 Summary: Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis. (http://www.sagepub.com/books/Book238839?siteId=sage-us&prodTypes=Books&q=9781446252444+&pageTitle=productsSearch)
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Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities.
Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.
(http://www.sagepub.com/books/Book238839?siteId=sage-us&prodTypes=Books&q=9781446252444+&pageTitle=productsSearch)

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