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Matching, Regression ­Discontinuity, Difference in­ Differences, and Beyond

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Format
Paperback, 280 pages
Other Formats Available

Hardback : £118.00

Published
United States, 1 June 2016

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.


Professor Myoung-jae Lee is an econometrician/statistician in Korea University. He received his Ph.D. in economics from University of Wisconsin-Madison in 1989. Since then, he published about 60 papers in economic and statistic journals as well as top-rated journals in other fields, including Econometrica, Journal of the Royal Statistical Society (Series B), Journal of Econometrics, Transportation Research (Part B), and Sociological Methods & Research. He also published four single-authored micro-econometric books from Springer, Academic Press and Oxford University Press on limited dependent variables, panel data and treatment effect analysis.

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Product 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.


Professor Myoung-jae Lee is an econometrician/statistician in Korea University. He received his Ph.D. in economics from University of Wisconsin-Madison in 1989. Since then, he published about 60 papers in economic and statistic journals as well as top-rated journals in other fields, including Econometrica, Journal of the Royal Statistical Society (Series B), Journal of Econometrics, Transportation Research (Part B), and Sociological Methods & Research. He also published four single-authored micro-econometric books from Springer, Academic Press and Oxford University Press on limited dependent variables, panel data and treatment effect analysis.

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Product Details
EAN
9780190258740
ISBN
0190258748
Publisher
Dimensions
23.1 x 15.5 x 1.3 centimeters (0.38 kg)

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

About the Author

Professor Myoung-jae Lee is an econometrician/statistician in Korea University. He received his Ph.D. in economics from University of Wisconsin-Madison in 1989. Since then, he published about 60 papers in economic and statistic journals as well as top-rated journals in other fields, including Econometrica, Journal of the Royal Statistical Society (Series B), Journal of Econometrics, Transportation Research (Part B), and Sociological Methods & Research. He
also published four single-authored micro-econometric books from Springer, Academic Press and Oxford University Press on limited dependent variables, panel data and treatment effect analysis.

Reviews

"...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 estimator is, and what it does."

-- Arthur Lewbel, Department of Economics, Boston College

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