Matching, Regression Discontinuity, Difference in Differences, and Beyond [Paperback]

Myoung-jae Lee reviews the three most popular methods (and their extensions) in applied economics and other social sciences: matching, regression discontinuity, and difference in differences. This book introduces the underlying econometric and statistical ideas, shows what is identified and how the identified parameters are estimated, and illustrates how they are applied with real empirical examples. Lee emphasizes how to implement the three methods with data: data and programs are provided in a useful online appendix. All readers-theoretical econometricians/statisticians, applied economists/social-scientists and researchers/students-will find something useful in the book from different perspectives.

Chapter 1: Basics of Treatment Effect Analysis

Chapter 2: Matching

Chapter 3: Non-Matching and Sample Selection

Chapter 4: Regression Discontinuity (RD)

Chapter 5: Difference in Differences (DD)

Chapter 6: Triple Difference (TD) and Beyond

Appendix

Online GAUSS Programs (PS for Propensity Score)

References

...an excellent reference for both graduate students and researchers working in the field of microeconometrics.

--MathSciNet

Lee has done it again with a highly accessible and thorough applied econometrics book. Empirical researchers and graduate students alike will benefit from his clear explanations of the most widely used methods to analyze treatment effects, including difference in differences, matching, and regression discontinuity. This book will be required reading for my graduate-level applied statistics class.

-- Gordon B. Dahl, Professor of Economics, University of California, San Diego

This book provides a nice concise summary of econometric methods for causal analyses that are rapidly growing in popularity. The material is presented in a straightforward style that will appeal to applied readers who just want to know what each estil#­