Description: 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.
Review Quotes: 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)"