Regression Discontinuity Designs: Theory and Applications Vol: 38

R. Carter Hill
Louisiana State University, USA

Thomas B. Fomby
Southern Methodist University Dallas, USA

Juan Carlos Escanciano
University of Indiana, USA

Eric Hillebrand
University of Aarhus, Denmark

Ivan Jeliazkov
University of California - Irvine, USA

Matias D. Cattaneo
University of Michigan, USA

Juan Carlos Escanciano
University of Indiana, USA

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Product Details
11 May 2017
Emerald Publishing Limited
544 pages - 152 x 229mm
Advances in Econometrics
The Regression Discontinuity (RD) design is one of the most popular and credible research designs for program evaluation and causal inference. This volume 38 of Advances in Econometrics collects twelve innovative and thought-provoking contributions to the RD literature, covering a wide range of methodological and practical topics. Some chapters touch on foundational methodological issues such as identification, interpretation, implementation, falsification testing, estimation and inference, while others focus on more recent and related topics such as identification and interpretation in a discontinuity-in-density framework, empirical structural estimation, comparative RD methods, and extrapolation. These chapters not only give new insights for current methodological and empirical research, but also provide new bases and frameworks for future work in this area. This volume contributes to the rapidly expanding RD literature by bringing together theoretical and applied econometricians, statisticians, and social, behavioural and biomedical scientists, in the hope that these interactions will further spark innovative practical developments in this important and active research area.
Introduction - Matias D. Cattaneo and Juan Carlos Escanciano 1. On Interpreting the Regression Discontinuity Design as a Local Experiment - Jasjeet Sekhon and Rocio Titiunik 2. Identification and Estimation using a Density Discontinuity Approach - Hugo Jales and Zhengfei Yu 3. The Deterrence Effect of Prison: Dynamic Theory and Evidence - David Lee and Justin McCrary 4. An Overview of Geographically Discontinuous Treatment Assignments With an Application to Children’s Health Insurance - Luke Keele, Scott Lorch, Molly Passarella, Dylan Small and Rocio Titiunik 5. External and Internal Validity of a Geographic Quasi-experiment Embedded in a Cluster-randomized Experiment - Sebastian Galiani, Patrick McEwan and Brian Quistorff 6. The Comparative Regression Discontinuity (CRD) Design: An Overview and Demonstration of its Performance Relative to Basic RD and the Randomized Experiment - Yang Tang, Thomas Cook, Yasemin Kisbu-Sakarya, Heinrich Hock and Hanley Chiang 7. Party Bias in Union Representation Elections: Testing for Manipulation in the Regression Discontinuity Design When the Running Variable is Discrete - Brigham Frandsen 8. Testing Stability of Regression Discontinuity Models - Giovanni Cerulli, Yingying Dong, Arthur Lewbel and Alexander Poulsen 9. Regression Kink Design: Theory and Practice - David Card, David Lee, Zhuan Pei and Andrea Weber 10. Regression Discontinuity Designs with Clustered Data - Otavio Bartalotti and Quentin Brummet 11. Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs - Otavio Bartalotti, Gray Calhoun and Yang He 12. The Devil is in the Tails: Regression Discontinuity Design with Measurement Error in the Assignment Variable - Zhuan Pei and Yi Shen
Matias D. Cattaneo, Department of Economics and Department of Statistics, University of Michigan Juan Carlos Escanciano, Department of Economics, Indiana University, and Senior Co-Editor of Advances in Econometrics
Contributors offer perspectives on methodological and practical issues relating to the use of regression discontinuity design in a number of fields. Their topics include identification and estimation using a density discontinuity approach, an overview of geographically discontinuous treatment assignments with an application to children's health insurance, the external and internal validity of a geographic quasi-experiment embedded in a cluster-randomized experiment, party bias in union representation elections: testing for manipulation in the regression discontinuity design when the running variable is discrete, and regression kink design: theory and practice.

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