537 citations · 537 across the 1 of their papers we have counts for
14 papers
Local Regression Distribution Estimators
Matias D. Cattaneo, Michael Jansson, Xinwei Ma
This paper investigates the large sample properties of local regression distribution estimators, which include a class of boundary adaptive density estimators as a prime example. F…
Analysis of Regression Discontinuity Designs with Multiple Cutoffs or Multiple Scores
Matias D. Cattaneo, Rocio Titiunik, Gonzalo Vazquez-Bare
We introduce the \texttt{Stata} (and \texttt{R}) package \texttt{rdmulti}, which includes three commands (\texttt{rdmc}, \texttt{rdmcplot}, \texttt{rdms}) for analyzing Regression…
A Practical Introduction to Regression Discontinuity Designs: Foundations
Matias D. Cattaneo, Nicolas Idrobo, Rocio Titiunik
In this Element and its accompanying Element, Matias D. Cattaneo, Nicolas Idrobo, and Rocio Titiunik provide an accessible and practical guide for the analysis and interpretation o…
lpdensity: Local Polynomial Density Estimation and Inference
Matias D. Cattaneo, Michael Jansson, Xinwei Ma
Density estimation and inference methods are widely used in empirical work. When the underlying distribution has compact support, conventional kernel-based density estimators are n…
lspartition: Partitioning-Based Least Squares Regression
Matias D. Cattaneo, Max H. Farrell, Yingjie Feng
Nonparametric partitioning-based least squares regression is an important tool in empirical work. Common examples include regressions based on splines, wavelets, and piecewise poly…
nprobust: Nonparametric Kernel-Based Estimation and Robust Bias-Corrected Inference
Sebastian Calonico, Matias D. Cattaneo, Max H. Farrell
Nonparametric kernel density and local polynomial regression estimators are very popular in Statistics, Economics, and many other disciplines. They are routinely employed in applie…