Matias D. Cattaneo
Names
first:  Matias 
middle:  Damian 
last:  Cattaneo 
Contact
email:  
homepage:  https://cattaneo.princeton.edu 
Affiliations

Princeton University
→ Department of Operations Research and Financial Engineering (ORFE)
 website
 location: Princeton, New Jersey (United States)
Research profile
author of:

Optimal Inference for Instrumental Variables Regression with nonGaussian Errors
by Mathias D. Cattaneo & Richard K. Crump & Michael Jansson 
Housing, health, and happiness
by Cattaneo, Matias D. & Galiano, Sebastian & Gertler, Paul J. & Martinez, Sebastian & Titiunik, Rocio 
Small Bandwidth Asymptotics for DensityWeighted Average Derivatives
by Matias D. Cattaneo & Richard K. Crump & Michael Jansson 
Housing, Health and Happiness
by Matias Cattaneo & Sebastian Galiani & Paul Gertler & Sebastian Martinez & Rocio Titiunik 
Housing, Health, and Happiness
by Matias D. Cattaneo & Sebastian Galiani & Paul J. Gertler & Sebastian Martinez & Rocio Titiunik 
Robust DataDriven Inference for DensityWeighted Average Derivatives
by Matias D. Cattaneo & Richard K. Crump & Michael Jansson 
Efficient semiparametric estimation of multivalued treatment effects under ignorability
by Cattaneo, Matias D. 
Bootstrapping DensityWeighted Average Derivatives
by Matias D. Cattaneo & Richard K. Crump & Michael Jansson 
Bootstrapping densityweighted average derivatives
by Matias D. Cattaneo & Richard K. Crump & Michael Jansson 
Robust DataDriven Inference for DensityWeighted Average Derivatives
by Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael 
Generalized Jackknife Estimators of Weighted Average Derivatives
by Matias D. Cattaneo & Richard K. Crump & Michael Jansson 
Alternative Asymptotics and the Partially Linear Model with Many Regressors
by Matias D. Cattaneo & Michael Jansson & Whitney K. Newey 
multivalued treatment effects
by Matias D. Cattaneo
edited by 
Optimal inference for instrumental variables regression with nonGaussian errors
by Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael 
POPARMS: Stata module for potential outcome parameter estimation
by Matias D. Cattaneo & David M. Drukker & Ashley Holland 
Optimal convergence rates, Bahadur representation, and asymptotic normality of partitioning estimators
by Cattaneo, Matias D. & Farrell, Max H. 
SMALL BANDWIDTH ASYMPTOTICS FOR DENSITYWEIGHTED AVERAGE DERIVATIVES
by Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael 
Estimation of multivalued treatment effects under conditional independence
by Matias D. Cattaneo & David M. Drukker & Ashley D. Holland 
A martingale decomposition for quadratic forms of Markov chains (with applications)
by Atchadé, Yves F. & Cattaneo, Matias D. 
Rejoinder
by Matias D. Cattaneo & Richard K. Crump & Michael Jansson 
Generalized Jackknife Estimators of Weighted Average Derivatives
by Matias D. Cattaneo & Richard K. Crump & Michael Jansson 
BOOTSTRAPPING DENSITYWEIGHTED AVERAGE DERIVATIVES
by Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael 
Bootstrapping KernelBased Semiparametric Estimators
by Matias D. Cattaneo & Michael Jansson 
Comment
by Matias D. Cattaneo & Richard K. Crump 
Robust datadriven inference in the regressiondiscontinuity design
by Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik 
Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs
by Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik 
Treatment effects with many covariates and heteroskedasticity
by Matias Cattaneo & Michael Jansson & Whitney K. Newey 
Alternative asymptotics and the partially linear model with many regressors
by Matias Cattaneo & Michael Jansson & Whitney K. Newey 
Treatment Effects with Many Covariates and Heteroskedasticity
by Matias D. Cattaneo & Michael Jansson & Whitney K. Newey 
rdlocrand: a Stata Package for Inference in Regression Discontinuity Designs under Local Randomizati
by Gonzalo VazquezBare & Matias Cattaneo & Rocio Titiunik 
CharacteristicSorted Portfolios: Estimation and Inference
by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg 
Optimal DataDriven Regression Discontinuity Plots
by Sebastian Calonico & Matias D. Cattaneo & Rocío Titiunik 
Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality
by Burt S. Barnow & Matias D. Cattaneo & Rocío Titiunik & Gonzalo Vazquez‐Bare 
BootstrapBased Inference for Cube Root Asymptotics
by Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa 
A Random Attention Model
by Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu & Elchin Suleymanov 
rdrobust: Software for regressiondiscontinuity designs
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Roc ́ıo Titiunik 
Inference in Linear Regression Models with Many Covariates and Heteroskedasticity
by Matias D. Cattaneo & Michael Jansson & Whitney K. Newey 
Robust Inference in RegressionDiscontinuity Designs
by Matias Cattaneo & Sebastian Calonico & Rocio Titiunik 
BootstrapBased Inference for Cube Root Consistent Estimators
by Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa 
Alternative Asymptotics and the Partially Linear Model with Many Regressors
by Matias D. Cattaneo & Michael Jansson & Whitney K. Newey 
Inference in regression discontinuity designs under local randomization
by Matias D. Cattaneo & Roc ́ıo Titiunik & Gonzalo VazquezBare 
Inference in linear regression models with many covariates and heteroskedasticity
by Matias Cattaneo & Michael Jansson & Whitney K. Newey 
Manipulation testing based on density discontinuity
by Matias D. Cattaneo & Michael Jansson & Xinwei Ma 
ALTERNATIVE ASYMPTOTICS AND THE PARTIALLY LINEAR MODEL WITH MANY REGRESSORS
by Cattaneo, Matias D. & Jansson, Michael & Newey, Whitney K. 
On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell 
Large Sample Properties of PartitioningBased Series Estimators
by Matias D. Cattaneo & Max H. Farrell & Yingjie Feng 
On binscatter
by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng 
Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell 
CharacteristicSorted Portfolios: Estimation and Inference
by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg 
Coverage Error Optimal Confidence Intervals for Local Polynomial Regression
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell 
Binscatter Regressions
by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng 
RDROBUST: Stata module to provide robust datadriven inference in the regressiondiscontinuity design
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocio Titiunik 
Robust datadriven inference in the regressiondiscontinuity design
by Calonico, Sebastian & Cattaneo, Matias D. & Titiunik, Rocío 
TwoStep Estimation and Inference with Possibly Many Included Covariates
by Matias D. Cattaneo & Michael Jansson & Xinwei Ma 
On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell 
Regression Discontinuity Designs Using Covariates
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocio Titiunik 
On Binscatter
by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng 
Simple Local Polynomial Density Estimators
by Matias D. Cattaneo & Michael Jansson & Xinwei Ma 
Kernelâ€ Based Semiparametric Estimators: Small Bandwidth Asymptotics and Bootstrap Consistency
by Matias D. Cattaneo & Michael Jansson 
Extrapolating Treatment Effects in MultiCutoff Regression Discontinuity Designs
by Matias D. Cattaneo & Luke Keele & Rocio Titiunik & Gonzalo VazquezBare 
Econometric Methods for Program Evaluation
by Alberto Abadie & Matias D. Cattaneo 
Inference in Linear Regression Models with Many Covariates and Heteroscedasticity
by Matias D. Cattaneo & Michael Jansson & Whitney K. Newey 
Estimation of multivalued treatment effects under conditional independence
by Cattaneo, Matias D. & Drukker, David M. & Holland, Ashley D. 
lpdensity: Local Polynomial Density Estimation and Inference
by Matias D. Cattaneo & Michael Jansson & Xinwei Ma 
Simple Local Polynomial Density Estimators
by Cattaneo, MD & Jansson, M. & Ma, X. 
Regression Discontinuity Designs Using Covariates
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocío Titiunik 
lspartition: PartitioningBased Least Squares Regression
by Matias D. Cattaneo & Max H. Farrell & Yingjie Feng 
Average Density Estimators: Efficiency and Bootstrap Consistency
by Matias D. Cattaneo & Michael Jansson 
Power calculations for regressiondiscontinuity designs
by Matias Cattaneo & Rocio Titiunik & Gonzalo VazquezBare 
nprobust: Nonparametric KernelBased Estimation and Robust BiasCorrected Inference
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell 
The Regression Discontinuity Design
by Matias D. Cattaneo & Rocio Titiunik & Gonzalo VazquezBare 
A Practical Introduction to Regression Discontinuity Designs: Foundations
by Matias D. Cattaneo & Nicolas Idrobo & Rocio Titiunik 
Prediction Intervals for Synthetic Control Methods
by Matias D. Cattaneo & Yingjie Feng & Rocio Titiunik 
TwoStep Estimation and Inference with Possibly Many Included Covariates
by Matias D. Cattaneo & Michael Jansson & Xinwei Ma 
Analysis of Regression Discontinuity Designs with Multiple Cutoffs or Multiple Scores
by Matias D. Cattaneo & Rocio Titiunik & Gonzalo VazquezBare
editor of:

Regression Discontinuity Designs
edited by Matias D. Cattaneo & Juan Carlos Escanciano