ERC Consolidator Grant · 2017
Advancing Econometric Methods for Analyzing Data from Regression Discontinuity Designs
Over the past two decades, regression discontinuity (RD) designs have become one of empirical economics' most popular strategies for estimating causal effects from observational data. In such designs, units are assigned to the treatment group if and only if a special covariate, or running variable, falls above a known cutoff value. Under mild conditions, those units close to the cutoff are as good as randomly assigned to receive the treatment, which provides a simple and transparent source of identification of the treatment's causal effect. This project extends the range of methodological tools available to applied researchers working with data from RD designs. It is divided into three…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.