275 citations · 361 across the 7 of their papers we have counts for
8 papers
Inference in Regression Discontinuity Designs with Clustered Data
Claudia Noack, Tomasz Olma, Christoph Rothe
Clustered sampling is prevalent in empirical regression discontinuity (RD) designs, but it has not received much attention in the theoretical literature. In this paper, we introduc…
Inference in Regression Discontinuity Designs with High-Dimensional Covariates
Alexander Kreiß, Christoph Rothe
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 treat…
Flexible Covariate Adjustments in Regression Discontinuity Designs
Claudia Noack, Tomasz Olma, Christoph Rothe
Empirical regression discontinuity (RD) studies often include covariates in their specifications to increase the precision of their estimates. In this paper, we propose a novel cla…
Combining Population and Study Data for Inference on Event Rates
Christoph Rothe
This note considers the problem of conducting statistical inference on the share of individuals in some subgroup of a population that experience some event. The specific complicati…
Bias-Aware Inference in Fuzzy Regression Discontinuity Designs
Claudia Noack, Christoph Rothe
We propose new confidence sets (CSs) for the regression discontinuity parameter in fuzzy designs. Our CSs are based on local linear regression, and are bias-aware, in the sense tha…
Estimating Derivatives of Function-Valued Parameters in a Class of Moment Condition Models
Christoph Rothe, Dominik Wied
We develop a general approach to estimating the derivative of a function-valued parameter that is identified for every value of as the solution to a moment condition.…
Inference in Regression Discontinuity Designs with a Discrete Running Variable
Michal Kolesár, Christoph Rothe
We consider inference in regression discontinuity designs when the running variable only takes a moderate number of distinct values. In particular, we study the common practice of…
Nonparametric regression with nonparametrically generated covariates
Enno Mammen, Christoph Rothe, Melanie Schienle
We analyze the statistical properties of nonparametric regression estimators using covariates which are not directly observable, but have be estimated from data in a preliminary st…