Regression Discontinuity Designs [PDF]
Annual Review of Economics, 2021 The regression discontinuity (RD) design is one of the most widely used nonexperimental methods for causal inference and program evaluation. Over the last two decades, statistical and econometric methods for RD analysis have expanded and matured, and ...
M. D. Cattaneo, J. Escanciano
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Regression discontinuity design with covariates [PDF]
Working Paper Series, 2007 In this paper, the regression discontinuity design (RDD) is generalized to account for differences in observed covariates X in a fully nonparametric way. It is shown that the treatment effect can be estimated at the rate for one-dimensional nonparametric
Markus Frölich
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Limitless Regression Discontinuity [PDF]
Journal of Educational and Behavioral Statistics, 2019 Conventionally, regression discontinuity analysis contrasts a univariate regression’s limits as its independent variable, R, approaches a cut point, c, from either side. Alternative methods target the average treatment effect in a small region around c, at the cost of an assumption that treatment assignment, [Formula: see text], is ignorable vis-à-vis
Adam C. Sales, Ben B. Hansen
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The impact of retirement on body mass index in China: An empirical study based on regression discontinuity design. [PDF]
SSM Popul Health, 2023 Yuan B, Liu W, Cui Y.
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Effect of the 2022 COVID-19 booster vaccination campaign in people aged 50 years in England: Regression discontinuity analysis in OpenSAFELY-TPP. [PDF]
VaccineSchaffer AL +13 more
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The impact of the U.S federal minimum legal drinking age law on alcohol involved firearm suicide: a regression discontinuity approach. [PDF]
EClinicalMedicineJain V, Miller M, Hemenway D.
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When Does Losing Lead to Winning? An Empirical Investigation on the Korean Professional Basketball League [PDF]
Cheyuk gwahag yeon-gu, 2023 PURPOSE This study was conducted to refine and verify the argument by Berger & Pope (2011). Based on expectancy theory, we expected that the existence or type of regression discontinuity could vary depending on the situation and time in Korean ...
Sang Hyun Lee +2 more
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A guide to regression discontinuity designs in medical applications [PDF]
Statistics in Medicine, 2023 We present a practical guide for the analysis of regression discontinuity (RD) designs in biomedical contexts. We begin by introducing key concepts, assumptions, and estimands within both the continuity‐based framework and the local randomization ...
M. D. Cattaneo, L. Keele, R. Titiunik
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Regression Discontinuity Inference with Specification Error [PDF]
Journal of Econometrics, 2008 A regression discontinuity (RD) research design is appropriate for program evaluation problems in which treatment status (or the probability of treatment) depends on whether an observed covariate exceeds a fixed threshold.
David Card, David S. Lee
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A Practical Introduction to Regression Discontinuity Designs: Extensions [PDF]
, 2023 This monograph, together with its accompanying first part Cattaneo, Idrobo and Titiunik (2020), collects and expands the instructional materials we prepared for more than $50$ short courses and workshops on Regression Discontinuity (RD) methodology that ...
M. D. Cattaneo, N. Idrobo, R. Titiunik
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