Extract of the dataset constructed by Cattaneo, Frandsen, and Titiunik (2015), which include measures of incumbency advantage in the U.S. Senate for the period 1914-2010.

datasets

rdrobust_RDsenate

Regression-discontinuity (RD) designs are quasi-experimental research designs popular in social, behavioral and natural sciences. The RD design is usually employed to study the (local) causal effect of a treatment, intervention or policy. This package provides tools for data-driven graphical and analytical statistical inference in RD	designs: rdrobust to construct local-polynomial point estimators and robust confidence intervals for average treatment effects at the 	cutoff in Sharp, Fuzzy and Kink RD settings, rdbwselect to perform bandwidth selection for the different procedures implemented, and rdplot to conduct exploratory data analysis (RD plots).

Sebastian Calonico

rdrobust

Robust Data-Driven Statistical Inference in
        Regression-Discontinuity Designs

rdrobust_RDsenate function

docType

Cattaneo, M. D., Frandsen, B., and R. Titiunik. 2015. "Randomization Inference in the Regression Discontinuity Design: An Application to the Study of Party Advantages in the U.S. Senate." <em>Journal of Causal Inference</em>, forthcoming.  <url>http://www-personal.umich.edu/~cattaneo/papers/Cattaneo-Frandsen-Titiunik_2015_JCI.pdf</url>.

rdrobust_RDsenate: RD Senate Data

Description

Usage

Arguments

docType

source

References