Regression Discontinuity Designs Using Covariates [PDF]
Review of Economics and Statistics, 2018 We study regression discontinuity designs when covariates are included in the estimation. We examine local polynomial estimators that include discrete or continuous covariates in an additive separable way, but without imposing any parametric restrictions
Sebastian Calonico +3 more
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Regression discontinuity threshold optimization. [PDF]
PLoS ONE, 2022 Treatments often come with thresholds, e.g. we are given statins if our cholesterol is above a certain threshold. But which statin administration threshold maximizes our quality of life adjusted years?
Ioana Marinescu +2 more
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Modified sharp regression discontinuity model to settings with fuzzy variables [PDF]
BMC Research Notes, 2023 Objective The goal of this study is to develop a Modified Sharp Regression Discontinuity model to predict alcohol consumption in People Living with Human Immunodeficiency Virus (HIV) and Acquired Immunodeficiency Syndrome (AIDS). Previous studies focused
Portia K. Mafukidze +2 more
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Regression Discontinuity Designs in Epidemiology: A Practical Guide [PDF]
Clinical EpidemiologyAidan G O’Keeffe,1 Irene Petersen2,3 1School of Mathematical Sciences, University of Nottingham, Nottingham, NG7 2RD, UK; 2Research Department of Primary Care and Population Health, University College London, London, NW3 2PF, UK; 3Department of Clinical ...
O'Keeffe AG, Petersen I
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Inference in Regression Discontinuity Designs with High-Dimensional Covariates [PDF]
Econometrics Journal, 2021 We study regression discontinuity designs in which many predetermined covariates, possibly much more than the number of observations, can be used to increase the precision of treatment effect estimates.
Alexander Kreiss, Christoph Rothe
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Conflict violence reduction and pregnancy outcomes: A regression discontinuity design in Colombia.
PLoS Medicine, 2021 BackgroundThe relationship between exposure to conflict violence during pregnancy and the risks of miscarriage, stillbirth, and perinatal mortality has not been studied empirically using rigorous methods and appropriate data.
Giancarlo Buitrago, Rodrigo Moreno-Serra
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Local Polynomial Order in Regression Discontinuity Designs [PDF]
Journal of business & economic statistics, 2020 Treatment effect estimates in regression discontinuity (RD) designs are often sensitive to the choice of bandwidth and polynomial order, the two important ingredients of widely used local regression methods.
Zhuan Pei +3 more
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Regression discontinuity design for the study of health effects of exposures acting early in life [PDF]
Frontiers in Public HealthRegression discontinuity design (RDD) is a quasi-experimental approach to study the causal effect of an exposure on later outcomes by exploiting the discontinuity in the exposure probability at an assignment variable cut-off.
Maja Popovic +4 more
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Impacts of consumption tracking and tailored feedback on meeting nutritional recommendations: a longitudinal regression discontinuity study [PDF]
Nutrition JournalBackground Malnutrition continues to have large and negative impacts on millions of people. Lack of nutrition education and access to accurate information can be large barriers to healthy eating.
Nathaniel Jensen +3 more
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Rdrobust: Software for Regression-discontinuity Designs [PDF]
, 2017 Sebastian Calonico +3 more
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