Propensity Score Methods and Applications
- Haiyan Bai - University of Central Florida, USA
- M. H. Clark - University of Central Florida, USA
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.
Datasets to be used alongside the book are available for download.
“Haiyan Bai and M.H. Clark have delivered a readable and easily applicable guide for eager researchers with data-in-hand, chomping at the bit to determine whether and how their empirical challenges might be addressed through the careful application of propensity score methods.”
“This volume provides a thorough introduction to propensity score methods while taking care to not overwhelm the reader with dense mathematics. Simple examples, straightforward language, and a catalog of software options make this a fine primer for researchers seeking to incorporate propensity score methods into their own research plans, and an excellent desk reference.”
“This book contains excellent descriptions of propensity score matching with practical examples and clear guides using different software programs.”
Sample Materials & Chapters
Chapter 1: Basic Concepts of Propensity Score Methods