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Propensity score methods and applications
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ISBN: 9781506378053 1506378056 1071814257 150637803X 1506378048 1506378064 Year: 2019 Volume: 178 Publisher: Los Angeles, CA : SAGE Publications, Inc.,

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A concise, introductory text, Propensity Score Methods and Applications describes propensity score methods (PSM) and how they are used to balance the distributions of observed covariates between treatment conditions as a means to reduce selection bias. This new QASS title specifically focuses on the procedures of implementing PSM for research in social sciences, instead of merely demonstrating the effectiveness of the method. Using succinct and approachable language to introduce the basic concepts of PSM, authors Haiyan Bai and M. H. Clark present basic concepts, assumptions, procedures, available software packages, and step-by-step examples for implementing PSM using real-world data, with exercises at the end of each chapter allowing readers to replicate examples on their own.

Longitudinal and panel data : analysis and applications in the social sciences
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ISBN: 0521828287 0521535387 9780521828284 9780511790928 9780521535380 9780511211690 0511211694 0511215274 9780511215278 0511217064 9780511217067 0511790929 1280540508 9781280540509 0511213468 9780511213465 9786610540501 6610540500 0511211694 1107147549 9781107147546 0511315694 9780511315695 Year: 2004 Publisher: Cambridge : Cambridge University Press,

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This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These models have found important applications within business, economics, education, political science and other social science disciplines. The author introduces the foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented graduate social science students as well as individual researchers. He emphasizes mathematical and statistical fundamentals but also describes substantive applications from across the social sciences, showing the breadth and scope that these models enjoy. The applications are enhanced by real-world data sets and software programs in SAS and Stata.

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