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Regression-Discontinuity Analysis
2008The regression discontinuity (RD) data design is a quasi-experimental evaluation design first introduced by Thistlethwaite and Campbell (1960) as an alternative approach to evaluating social programmes. The design is characterized by a treatment assignment or selection rule which involves the use of a known cut-off point with respect to a continuous ...
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Regression discontinuity with categorical outcomes
Journal of Econometrics, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Abstract This chapter covers the regression discontinuity research design. It first describes how the method estimates the causal effects of interventions by leveraging the fact that some interventions only kick in at arbitrarily drawn lines, resulting in groups on both sides of the line that may be extremely similar.
Adam Chilton, Kyle Rozema
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Adam Chilton, Kyle Rozema
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Regression Discontinuity and Beyond
American Journal of Evaluation, 2018Treatment effect estimates from a regression discontinuity design (RDD) have high internal validity. However, the arguments that support the design apply to a subpopulation that is narrower and usually different from the population of substantive interest in evaluation research.
Coady Wing, Ricardo A. Bello-Gomez
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A locally linear estimation of regression discontinuity
Frontiers of Economics in China, 2011In this paper, we propose a locally linear estimation of a regression discontinuity model. The proposed estimator is applicable to evaluation of the effectiveness of the program treatment, and it improves upon the existing literature by providing not just the treatment effect at discontinuity but also insight of the treatment effect on those near ...
Chunrong Ai, Meixia Meng
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Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs
Journal of the American Statistical Association, 2021Matias D Cattaneo +2 more
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