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15 of 16 people found the following review helpful:
5.0 out of 5 stars
Very comprehensive source on pscore matching and treatment effects,
This review is from: Propensity Score Analysis: Statistical Methods and Applications (Advanced Quantitative Techniques in the Social Sciences) (Hardcover)
I am a fourth year PhD student at University of Toronto and this textbook has been a very useful source on estimating treatment effects as part of my research.
I think it is particularly good at (1) explaining the differences between Heckman-type selection models and matching models; and at (2) summarizing different matching approaches including propensity score, matching estimators, and non-parametric techniques. Moreover, it provides details on how to perform sensitivity analysis and perform diagnostics for each technique. I liked that each chapter explains briefly the theoretical foundations of every approach and provides detailed guidance using examples on how to run STATA or R code.
4 of 5 people found the following review helpful:
5.0 out of 5 stars
Nice job!,
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This review is from: Propensity Score Analysis: Statistical Methods and Applications (Advanced Quantitative Techniques in the Social Sciences) (Hardcover)
There are many causal inference books out there, including Rubin's and Rosenbaum's. This one is completely into propensity scoring and is very comprehensive and practical. It includes some latest variations. I would highly recommend it.
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Propensity Score Analysis: Statistical Methods and Applications (Advanced Quantitative Techniques in the Social Sciences) by Shenyang Guo (Hardcover - July 16, 2009)
$77.00 $38.50
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