Regression discontinuity design with multivalued treatments [PDF]
Journal of Applied Econometrics, 2023 We study identification and estimation in the Regression Discontinuity Design (RDD) with a multivalued treatment variable. We also allow for the inclusion of covariates.
Carolina Caetano +2 more
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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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Frontiers in Environmental Science, 2021 In the context of intensifying global geopolitical disputes and trade frictions, the relationship between geopolitics and energy trade has attracted extensive attention from scholars.
Yanqiong Liu +3 more
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REGRESSION DISCONTINUITY DESIGN WITH POTENTIALLY MANY COVARIATES [PDF]
Econometric Theory, 2021 This article examines high-dimensional covariates in regression discontinuity design (RDD) analysis. We introduce estimation and inference methods for the RDD models that incorporate covariate selection while maintaining stability across various numbers ...
Y. Arai, Taisuke Otsu, M. Seo
semanticscholar +4 more sources
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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The effectiveness of influenza vaccine among elderly Chinese: A regression discontinuity design based on Yinzhou regional health information platform [PDF]
Human Vaccines & Immunotherapeutics, 2022 In China, a free influenza vaccination policy is being implemented among individuals aged 70 years and over in Zhejiang province during the COVID-19 pandemic.
Guangxu Liu +6 more
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Another look at the regression discontinuity design [PDF]
Working Paper Series, 2003 The attractiveness of the Regression Discontinuity Design (RDD) in its sharp formulation rests on close similarities with a formal experimental design.
Enrico Rettore, Erich Battistin
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Using the Chow Test to Analyze Regression Discontinuities [PDF]
Tutorials in Quantitative Methods for Psychology, 2008 The Chow Test (Chow, 1960) is a method well known in econometrics. It was originally designed to analyze the same variables obtained in two different data sets to determine if they were similar enough to be pooled together.
Howard H. Lee
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The effect of a post-bronchodilator FEV1/FVC < 0.7 on COPD diagnosis and treatment: a regression discontinuity design [PDF]
Respiratory ResearchBackground Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines recommend the diagnosis of chronic obstructive pulmonary disease (COPD) only in patients with a post-bronchodilator forced expiratory volume in 1 s to forced vital ...
Alexander T. Moffett +2 more
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A regression discontinuity design for ordinal running variables: Evaluating central bank purchases of corporate bonds [PDF]
Annals of Applied Statistics, 2019 Regression discontinuity (RD) is a widely used quasi-experimental design for causal inference. In the standard RD, the assignment to treatment is determined by a continuous pretreatment variable (i.e., running variable) falling above or below a pre-fixed
Fan Li +3 more
semanticscholar +3 more sources