Matching, Regression Discontinuity, Difference in Differences, and Beyond
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Product details:
- Publisher OUP USA
- Date of Publication 23 June 2016
- ISBN 9780190258740
- Binding Paperback
- No. of pages280 pages
- Size 231x155x12 mm
- Weight 358 g
- Language English 0
Categories
Short description:
This book reviews the three most popular methods (and their extensions) in applied economics and other social sciences: matching, regression discontinuity, and difference in differences. The book introduces the underlying econometric/statistical ideas, shows what is identified and how the identified parameters are estimated, and then illustrates how they are applied with real empirical examples.
MoreLong description:
This book reviews the three most popular methods (and their extensions) in applied economics and other social sciences: matching, regression discontinuity, and difference in differences. The book introduces the underlying econometric/statistical ideas, shows what is identified and how the identified parameters are estimated, and then illustrates how they are applied with real empirical examples. The book emphasizes how to implement the three methods with data: many data and programs are provided in the online appendix. All readers---theoretical econometricians/statisticians, applied economists/social-scientists and researchers/students---will find something useful in the book from different perspectives.
The book under review gives an up-to-date and concise treatment of the three most recent and widely applied empirical methods to deal with confoundedness in microeconometrics, i.e., matching, regression discontinuity and difference in differences. This book gives a timely update on the author's previous book Microeconometrics for Policy, Program, and Treatment Effects with a particular concentration on these three most in fluential methodologies. This book serves as an excellent reference for both graduate students and researchers working in the field of microeconometrics.
Table of Contents:
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
