Regression Discontinuity Designs: Theory and Applications

Author:   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)
Publisher:   Emerald Publishing Limited
Volume:   38
ISBN:  

9781787143906


Pages:   544
Publication Date:   11 May 2017
Format:   Hardback
Availability:   In Print   Availability explained
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Regression Discontinuity Designs: Theory and Applications


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Author:   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)
Publisher:   Emerald Publishing Limited
Imprint:   Emerald Publishing Limited
Volume:   38
Dimensions:   Width: 15.20cm , Height: 3.20cm , Length: 22.90cm
Weight:   0.826kg
ISBN:  

9781787143906


ISBN 10:   1787143902
Pages:   544
Publication Date:   11 May 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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

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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. -- Annotation (c)2017 Ringgold Inc * (protoview.com) *


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. Distributed in North America by Turpin Distribution. -- Annotation (c)2017 Ringgold Inc * (protoview.com) *


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. -- Annotation ©2017 Ringgold Inc * (protoview.com) *


Author Information

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

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