Matias D. Cattaneo, Department of Economics and Department of Statistics, University of MichiganJuan Carlos Escanciano, Department of Economics, Indiana University, and Senior Co-Editor of Advances in Econometrics

• Introduction - Matias D. Cattaneo and Juan Carlos Escanciano1. On Interpreting the Regression Discontinuity Design as a Local Experiment - Jasjeet Sekhon and Rocio Titiunik2. Identification and Estimation using a Density Discontinuity Approach - Hugo Jales and Zhengfei Yu3. The Deterrence Effect of Prison: Dynamic Theory and Evidence - David Lee and Justin McCrary4. 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 Titiunik5. External and Internal Validity of a Geographic Quasi-experiment Embedded in a Cluster-randomized Experiment - Sebastian Galiani, Patrick McEwan and Brian Quistorff6. 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 Chiang7. Party Bias in Union Representation Elections: Testing for Manipulation in the Regression Discontinuity Design When the Running Variable is Discrete - Brigham Frandsen8. Testing Stability of Regression Discontinuity Models - Giovanni Cerulli, Yingying Dong, Arthur Lewbel and Alexander Poulsen9. Regression Kink Design: Theory and Practice - David Card, David Lee, Zhuan Pei and Andrea Weber10. Regression Discontinuity Designs with Clustered Data - Otavio Bartalotti and Quentin Brummet11. Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs - Otavio Bartalotti, Gray Calhoun and Yang He12. The Devil is in the Tails: Regression Discontinuity Design with Measurement Error in the Assignment Variable - Zhuan Pei and Yi Shen

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.

Matias D. Cattaneo, Department of Economics and Department of Statistics, University of MichiganJuan Carlos Escanciano, Department of Economics, Indiana University, and Senior Co-Editor of Advances in Econometrics

• Introduction - Matias D. Cattaneo and Juan Carlos Escanciano1. On Interpreting the Regression Discontinuity Design as a Local Experiment - Jasjeet Sekhon and Rocio Titiunik2. Identification and Estimation using a Density Discontinuity Approach - Hugo Jales and Zhengfei Yu3. The Deterrence Effect of Prison: Dynamic Theory and Evidence - David Lee and Justin McCrary4. 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 Titiunik5. External and Internal Validity of a Geographic Quasi-experiment Embedded in a Cluster-randomized Experiment - Sebastian Galiani, Patrick McEwan and Brian Quistorff6. 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 Chiang7. Party Bias in Union Representation Elections: Testing for Manipulation in the Regression Discontinuity Design When the Running Variable is Discrete - Brigham Frandsen8. Testing Stability of Regression Discontinuity Models - Giovanni Cerulli, Yingying Dong, Arthur Lewbel and Alexander Poulsen9. Regression Kink Design: Theory and Practice - David Card, David Lee, Zhuan Pei and Andrea Weber10. Regression Discontinuity Designs with Clustered Data - Otavio Bartalotti and Quentin Brummet11. Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs - Otavio Bartalotti, Gray Calhoun and Yang He12. The Devil is in the Tails: Regression Discontinuity Design with Measurement Error in the Assignment Variable - Zhuan Pei and Yi Shen

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.

Matias D. Cattaneo, Department of Economics and Department of Statistics, University of MichiganJuan Carlos Escanciano, Department of Economics, Indiana University, and Senior Co-Editor of Advances in Econometrics

• Introduction - Matias D. Cattaneo and Juan Carlos Escanciano1. On Interpreting the Regression Discontinuity Design as a Local Experiment - Jasjeet Sekhon and Rocio Titiunik2. Identification and Estimation using a Density Discontinuity Approach - Hugo Jales and Zhengfei Yu3. The Deterrence Effect of Prison: Dynamic Theory and Evidence - David Lee and Justin McCrary4. 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 Titiunik5. External and Internal Validity of a Geographic Quasi-experiment Embedded in a Cluster-randomized Experiment - Sebastian Galiani, Patrick McEwan and Brian Quistorff6. 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 Chiang7. Party Bias in Union Representation Elections: Testing for Manipulation in the Regression Discontinuity Design When the Running Variable is Discrete - Brigham Frandsen8. Testing Stability of Regression Discontinuity Models - Giovanni Cerulli, Yingying Dong, Arthur Lewbel and Alexander Poulsen9. Regression Kink Design: Theory and Practice - David Card, David Lee, Zhuan Pei and Andrea Weber10. Regression Discontinuity Designs with Clustered Data - Otavio Bartalotti and Quentin Brummet11. Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs - Otavio Bartalotti, Gray Calhoun and Yang He12. The Devil is in the Tails: Regression Discontinuity Design with Measurement Error in the Assignment Variable - Zhuan Pei and Yi Shen

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.