Matias D. Cattaneo

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Identifer

Contact

Affiliations

• Princeton University / Department of Operations Research and Financial Engineering (ORFE)
  • EDIRC entry
  • location:

Research profile

author of:

• Optimal Inference for Instrumental Variables Regression with non-Gaussian Errors
  CREATES Research Papers, Department of Economics and Business Economics, Aarhus University (2007)
  by Mathias D. Cattaneo & Richard K. Crump & Michael Jansson
  (ReDIF-paper, aah:create:2007-11)
• Small Bandwidth Asymptotics for Density-Weighted Average Derivatives
  CREATES Research Papers, Department of Economics and Business Economics, Aarhus University (2008)
  by Matias D. Cattaneo & Richard K. Crump & Michael Jansson
  (ReDIF-paper, aah:create:2008-24)
• Robust Data-Driven Inference for Density-Weighted Average Derivatives
  CREATES Research Papers, Department of Economics and Business Economics, Aarhus University (2009)
  by Matias D. Cattaneo & Richard K. Crump & Michael Jansson
  (ReDIF-paper, aah:create:2009-46)
• Bootstrapping Density-Weighted Average Derivatives
  CREATES Research Papers, Department of Economics and Business Economics, Aarhus University (2010)
  by Matias D. Cattaneo & Richard K. Crump & Michael Jansson
  (ReDIF-paper, aah:create:2010-23)
• Generalized Jackknife Estimators of Weighted Average Derivatives
  CREATES Research Papers, Department of Economics and Business Economics, Aarhus University (2011)
  by Matias D. Cattaneo & Richard K. Crump & Michael Jansson
  (ReDIF-paper, aah:create:2011-12)
• Alternative Asymptotics and the Partially Linear Model with Many Regressors
  CREATES Research Papers, Department of Economics and Business Economics, Aarhus University (2012)
  by Matias D. Cattaneo & Michael Jansson & Whitney K. Newey
  (ReDIF-paper, aah:create:2012-02)
• Bootstrapping Kernel-Based Semiparametric Estimators
  CREATES Research Papers, Department of Economics and Business Economics, Aarhus University (2014)
  by Matias D. Cattaneo & Michael Jansson
  (ReDIF-paper, aah:create:2014-25)
• Treatment Effects with Many Covariates and Heteroskedasticity
  CREATES Research Papers, Department of Economics and Business Economics, Aarhus University (2015)
  by Matias D. Cattaneo & Michael Jansson & Whitney K. Newey
  (ReDIF-paper, aah:create:2015-31)
• Bootstrap-Based Inference for Cube Root Consistent Estimators
  CREATES Research Papers, Department of Economics and Business Economics, Aarhus University (2017)
  by Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa
  (ReDIF-paper, aah:create:2017-18)
• On Binscatter
  American Economic Review, American Economic Association (2024)
  by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng
  (ReDIF-article, aea:aecrev:v:114:y:2024:i:5:p:1488-1514)
• Housing, Health, and Happiness
  American Economic Journal: Economic Policy, American Economic Association (2009)
  by Matias D. Cattaneo & Sebastian Galiani & Paul J. Gertler & Sebastian Martinez & Rocio Titiunik
  (ReDIF-article, aea:aejpol:v:1:y:2009:i:1:p:75-105)
• Econometric Methods for Program Evaluation
  Annual Review of Economics, Annual Reviews (2018)
  by Alberto Abadie & Matias D. Cattaneo
  (ReDIF-article, anr:reveco:v:10:y:2018:p:465-503)
• Regression Discontinuity Designs
  Annual Review of Economics, Annual Reviews (2022)
  by Matias D. Cattaneo & Rocío Titiunik
  (ReDIF-article, anr:reveco:v:14:y:2022:p:821-851)
• Alternative Asymptotics and the Partially Linear Model with Many Regressors
  Papers, arXiv.org (2015)
  by Matias D. Cattaneo & Michael Jansson & Whitney K. Newey
  (ReDIF-paper, arx:papers:1505.08120)
• Inference in Linear Regression Models with Many Covariates and Heteroskedasticity
  Papers, arXiv.org (2015)
  by Matias D. Cattaneo & Michael Jansson & Whitney K. Newey
  (ReDIF-paper, arx:papers:1507.02493)
• On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference
  Papers, arXiv.org (2015)
  by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell
  (ReDIF-paper, arx:papers:1508.02973)
• Bootstrap-Based Inference for Cube Root Asymptotics
  Papers, arXiv.org (2017)
  by Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa
  (ReDIF-paper, arx:papers:1704.08066)
• A Random Attention Model
  Papers, arXiv.org (2017)
  by Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu & Elchin Suleymanov
  (ReDIF-paper, arx:papers:1712.03448)
• Large Sample Properties of Partitioning-Based Series Estimators
  Papers, arXiv.org (2018)
  by Matias D. Cattaneo & Max H. Farrell & Yingjie Feng
  (ReDIF-paper, arx:papers:1804.04916)
• Two-Step Estimation and Inference with Possibly Many Included Covariates
  Papers, arXiv.org (2018)
  by Matias D. Cattaneo & Michael Jansson & Xinwei Ma
  (ReDIF-paper, arx:papers:1807.10100)
• Coverage Error Optimal Confidence Intervals for Local Polynomial Regression
  Papers, arXiv.org (2018)
  by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell
  (ReDIF-paper, arx:papers:1808.01398)
• Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs
  Papers, arXiv.org (2018)
  by Matias D. Cattaneo & Luke Keele & Rocio Titiunik & Gonzalo Vazquez-Bare
  (ReDIF-paper, arx:papers:1808.04416)
• Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs
  Papers, arXiv.org (2018)
  by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell
  (ReDIF-paper, arx:papers:1809.00236)
• Characteristic-Sorted Portfolios: Estimation and Inference
  Papers, arXiv.org (2018)
  by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg
  (ReDIF-paper, arx:papers:1809.03584)
• Regression Discontinuity Designs Using Covariates
  Papers, arXiv.org (2018)
  by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocio Titiunik
  (ReDIF-paper, arx:papers:1809.03904)
• Simple Local Polynomial Density Estimators
  Papers, arXiv.org (2018)
  by Matias D. Cattaneo & Michael Jansson & Xinwei Ma
  (ReDIF-paper, arx:papers:1811.11512)
• On Binscatter
  Papers, arXiv.org (2019)
  by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng
  (ReDIF-paper, arx:papers:1902.09608)
• Binscatter Regressions
  Papers, arXiv.org (2019)
  by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng
  (ReDIF-paper, arx:papers:1902.09615)
• Average Density Estimators: Efficiency and Bootstrap Consistency
  Papers, arXiv.org (2019)
  by Matias D. Cattaneo & Michael Jansson
  (ReDIF-paper, arx:papers:1904.09372)
• nprobust: Nonparametric Kernel-Based Estimation and Robust Bias-Corrected Inference
  Papers, arXiv.org (2019)
  by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell
  (ReDIF-paper, arx:papers:1906.00198)
• lspartition: Partitioning-Based Least Squares Regression
  Papers, arXiv.org (2019)
  by Matias D. Cattaneo & Max H. Farrell & Yingjie Feng
  (ReDIF-paper, arx:papers:1906.00202)
• The Regression Discontinuity Design
  Papers, arXiv.org (2019)
  by Matias D. Cattaneo & Rocio Titiunik & Gonzalo Vazquez-Bare
  (ReDIF-paper, arx:papers:1906.04242)
• lpdensity: Local Polynomial Density Estimation and Inference
  Papers, arXiv.org (2019)
  by Matias D. Cattaneo & Michael Jansson & Xinwei Ma
  (ReDIF-paper, arx:papers:1906.06529)
• A Practical Introduction to Regression Discontinuity Designs: Foundations
  Papers, arXiv.org (2019)
  by Matias D. Cattaneo & Nicolas Idrobo & Rocio Titiunik
  (ReDIF-paper, arx:papers:1911.09511)
• Prediction Intervals for Synthetic Control Methods
  Papers, arXiv.org (2019)
  by Matias D. Cattaneo & Yingjie Feng & Rocio Titiunik
  (ReDIF-paper, arx:papers:1912.07120)
• Analysis of Regression Discontinuity Designs with Multiple Cutoffs or Multiple Scores
  Papers, arXiv.org (2019)
  by Matias D. Cattaneo & Rocio Titiunik & Gonzalo Vazquez-Bare
  (ReDIF-paper, arx:papers:1912.07346)
• Local Regression Distribution Estimators
  Papers, arXiv.org (2020)
  by Matias D. Cattaneo & Michael Jansson & Xinwei Ma
  (ReDIF-paper, arx:papers:2009.14367)
• Regression Discontinuity Designs
  Papers, arXiv.org (2021)
  by Matias D. Cattaneo & Rocio Titiunik
  (ReDIF-paper, arx:papers:2108.09400)
• Covariate Adjustment in Regression Discontinuity Designs
  Papers, arXiv.org (2021)
  by Matias D. Cattaneo & Luke Keele & Rocio Titiunik
  (ReDIF-paper, arx:papers:2110.08410)
• Attention Overload
  Papers, arXiv.org (2021)
  by Matias D. Cattaneo & Paul Cheung & Xinwei Ma & Yusufcan Masatlioglu
  (ReDIF-paper, arx:papers:2110.10650)
• scpi: Uncertainty Quantification for Synthetic Control Methods
  Papers, arXiv.org (2022)
  by Matias D. Cattaneo & Yingjie Feng & Filippo Palomba & Rocio Titiunik
  (ReDIF-paper, arx:papers:2202.05984)
• Boundary Adaptive Local Polynomial Conditional Density Estimators
  Papers, arXiv.org (2022)
  by Matias D. Cattaneo & Rajita Chandak & Michael Jansson & Xinwei Ma
  (ReDIF-paper, arx:papers:2204.10359)
• Beta-Sorted Portfolios
  Papers, arXiv.org (2022)
  by Matias D. Cattaneo & Richard K. Crump & Weining Wang
  (ReDIF-paper, arx:papers:2208.10974)
• Yurinskii's Coupling for Martingales
  Papers, arXiv.org (2022)
  by Matias D. Cattaneo & Ricardo P. Masini & William G. Underwood
  (ReDIF-paper, arx:papers:2210.00362)
• Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption
  Papers, arXiv.org (2022)
  by Matias D. Cattaneo & Yingjie Feng & Filippo Palomba & Rocio Titiunik
  (ReDIF-paper, arx:papers:2210.05026)
• Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators
  Papers, arXiv.org (2022)
  by Matias D. Cattaneo & Max H. Farrell & Michael Jansson & Ricardo Masini
  (ReDIF-paper, arx:papers:2301.00277)
• A Practical Introduction to Regression Discontinuity Designs: Extensions
  Papers, arXiv.org (2023)
  by Matias D. Cattaneo & Nicolas Idrobo & Rocio Titiunik
  (ReDIF-paper, arx:papers:2301.08958)
• A Guide to Regression Discontinuity Designs in Medical Applications
  Papers, arXiv.org (2023)
  by Matias D. Cattaneo & Luke Keele & Rocio Titiunik
  (ReDIF-paper, arx:papers:2302.07413)
• Bootstrap-Assisted Inference for Generalized Grenander-type Estimators
  Papers, arXiv.org (2023)
  by Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa
  (ReDIF-paper, arx:papers:2303.13598)
• Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)
  Papers, arXiv.org (2023)
  by Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu
  (ReDIF-paper, arx:papers:2305.10934)
• On Rosenbaum's Rank-based Matching Estimator
  Papers, arXiv.org (2023)
  by Matias D. Cattaneo & Fang Han & Zhexiao Lin
  (ReDIF-paper, arx:papers:2312.07683)
• Strong Approximations for Empirical Processes Indexed by Lipschitz Functions
  Papers, arXiv.org (2024)
  by Matias D. Cattaneo & Ruiqi Rae Yu
  (ReDIF-paper, arx:papers:2406.04191)
• Nonlinear Binscatter Methods
  Papers, arXiv.org (2024)
  by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng
  (ReDIF-paper, arx:papers:2407.15276)
• Uniform Estimation and Inference for Nonparametric Partitioning-Based M-Estimators
  Papers, arXiv.org (2024)
  by Matias D. Cattaneo & Yingjie Feng & Boris Shigida
  (ReDIF-paper, arx:papers:2409.05715)
• Continuity of the Distribution Function of the argmax of a Gaussian Process
  Papers, arXiv.org (2025)
  by Matias D. Cattaneo & Gregory Fletcher Cox & Michael Jansson & Kenichi Nagasawa
  (ReDIF-paper, arx:papers:2501.13265)
• Robust Inference for the Direct Average Treatment Effect with Treatment Assignment Interference
  Papers, arXiv.org (2025)
  by Matias D. Cattaneo & Yihan He & Ruiqi & Yu
  (ReDIF-paper, arx:papers:2502.13238)
• Inference in linear regression models with many covariates and heteroskedasticity
  CeMMAP working papers, Institute for Fiscal Studies (2017)
  by Matias Cattaneo & Michael Jansson & Whitney K. Newey
  (ReDIF-paper, azt:cemmap:03/17)
• Beta-sorted portfolios
  CeMMAP working papers, Institute for Fiscal Studies (2024)
  by Matias Cattaneo & Richard K. Crump & Weining Wang
  (ReDIF-paper, azt:cemmap:20/24)
• Alternative asymptotics and the partially linear model with many regressors
  CeMMAP working papers, Institute for Fiscal Studies (2015)
  by Matias Cattaneo & Michael Jansson & Whitney K. Newey
  (ReDIF-paper, azt:cemmap:36/15)
• Treatment effects with many covariates and heteroskedasticity
  CeMMAP working papers, Institute for Fiscal Studies (2015)
  by Matias Cattaneo & Michael Jansson & Whitney K. Newey
  (ReDIF-paper, azt:cemmap:37/15)
• Robust Data-Driven Inference for Density-Weighted Average Derivatives
  Journal of the American Statistical Association, American Statistical Association (2010)
  by Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael
  (ReDIF-article, bes:jnlasa:v:105:i:491:y:2010:p:1070-1083)
• POPARMS: Stata module for potential outcome parameter estimation
  Statistical Software Components, Boston College Department of Economics (2012)
  by Matias D. Cattaneo & David M. Drukker & Ashley Holland
  (ReDIF-software, boc:bocode:s457511)
• RDROBUST: Stata module to provide robust data-driven inference in the regression-discontinuity design
  Statistical Software Components, Boston College Department of Economics (2018)
  by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocio Titiunik
  (ReDIF-software, boc:bocode:s458483)
• RDDENSITY: Stata module to perform Manipulation Testing Using Local Polynomial Density Estimation
  Statistical Software Components, Boston College Department of Economics (2022)
  by Matias D. Cattaneo & Michael Jansson & Xinwei Ma
  (ReDIF-software, boc:bocode:s459094)
• LPDENSITY: Stata module to perform Local Polynomial Density Estimation and Inference
  Statistical Software Components, Boston College Department of Economics (2022)
  by Matias D. Cattaneo & Michael Jansson & Xinwei Ma
  (ReDIF-software, boc:bocode:s459095)
• On binscatter: binscatter plots
  Economics Virtual Symposium 2022, Stata Users Group (2022)
  by Matias D. Cattaneo
  (ReDIF-paper, boc:econ22:06)
• On binscatter
  French Stata Users' Group Meetings 2024, Stata Users Group (2024)
  by Richard K. Crump & Matias D. Cattaneo & Yingjie Feng
  (ReDIF-paper, boc:fsug24:23)
• Robust Inference in Regression-Discontinuity Designs
  2015 Stata Conference, Stata Users Group (2015)
  by Matias Cattaneo & Sebastian Calonico & Rocio Titiunik
  (ReDIF-paper, boc:scon15:16)
• rdlocrand: a Stata Package for Inference in Regression Discontinuity Designs under Local Randomizati
  2016 Stata Conference, Stata Users Group (2016)
  by Gonzalo Vazquez-Bare & Matias Cattaneo & Rocio Titiunik
  (ReDIF-paper, boc:scon16:25)
• Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate
  Journal of Causal Inference, De Gruyter (2015)
  by Cattaneo Matias D. & Frandsen Brigham R. & Titiunik Rocío
  (ReDIF-article, bpj:causin:v:3:y:2015:i:1:p:1-24:n:1001)
• Small Bandwidth Asymptotics For Density-Weighted Average Derivatives
  Department of Economics, Working Paper Series, Department of Economics, Institute for Business and Economic Research, UC Berkeley (2014)
  by Cattaneo, Matias D & Crump, Richard K & Jansson, Michael
  (ReDIF-paper, cdl:econwp:qt3jd237cg)
• Bootstrap‐Based Inference for Cube Root Asymptotics
  Department of Economics, Working Paper Series, Department of Economics, Institute for Business and Economic Research, UC Berkeley (2020)
  by Cattaneo, Matias D & Jansson, Michael & Nagasawa, Kenichi
  (ReDIF-paper, cdl:econwp:qt3wn9z3b9)
• Generalized Jackknife Estimators of Weighted Average Derivatives
  Department of Economics, Working Paper Series, Department of Economics, Institute for Business and Economic Research, UC Berkeley (2013)
  by Cattaneo, Matias D & Crump, Richard K & Jansson, Michael
  (ReDIF-paper, cdl:econwp:qt4nv5q5hp)
• Inference in Linear Regression Models with Many Covariates and Heteroscedasticity
  Department of Economics, Working Paper Series, Department of Economics, Institute for Business and Economic Research, UC Berkeley (2018)
  by Cattaneo, Matias D & Jansson, Michael & Newey, Whitney K
  (ReDIF-paper, cdl:econwp:qt6rp7p9gs)
• Local regression distribution estimators
  Department of Economics, Working Paper Series, Department of Economics, Institute for Business and Economic Research, UC Berkeley (2021)
  by Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei
  (ReDIF-paper, cdl:econwp:qt7416d3x8)
• Two-Step Estimation and Inference with Possibly Many Included Covariates
  Department of Economics, Working Paper Series, Department of Economics, Institute for Business and Economic Research, UC Berkeley (2019)
  by Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei
  (ReDIF-paper, cdl:econwp:qt86c7x315)
• Simple Local Polynomial Density Estimators
  Department of Economics, Working Paper Series, Department of Economics, Institute for Business and Economic Research, UC Berkeley (2020)
  by Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei
  (ReDIF-paper, cdl:econwp:qt9vt997qn)
• A Random Attention Model
  University of California at San Diego, Economics Working Paper Series, Department of Economics, UC San Diego (2020)
  by Cattaneo, Matias D & Ma, Xinwei & Masatlioglu, Yusufcan & Suleymanov, Elchin
  (ReDIF-paper, cdl:ucsdec:qt34m788c3)
• Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)
  University of California at San Diego, Economics Working Paper Series, Department of Economics, UC San Diego (2023)
  by Cattaneo, Matias D & Ma, Xinwei & Masatlioglu, Yusufcan
  (ReDIF-paper, cdl:ucsdec:qt3f7644vj)
• Local regression distribution estimators
  University of California at San Diego, Economics Working Paper Series, Department of Economics, UC San Diego (2021)
  by Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei
  (ReDIF-paper, cdl:ucsdec:qt7416d3x8)
• Two-Step Estimation and Inference with Possibly Many Included Covariates
  University of California at San Diego, Economics Working Paper Series, Department of Economics, UC San Diego (2019)
  by Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei
  (ReDIF-paper, cdl:ucsdec:qt86c7x315)
• Simple Local Polynomial Density Estimators
  University of California at San Diego, Economics Working Paper Series, Department of Economics, UC San Diego (2020)
  by Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei
  (ReDIF-paper, cdl:ucsdec:qt9vt997qn)
• Small Bandwidth Asymptotics For Density-Weighted Average Derivatives
  Econometric Theory, Cambridge University Press (2014)
  by Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael
  (ReDIF-article, cup:etheor:v:30:y:2014:i:01:p:176-200_00)
• Bootstrapping Density-Weighted Average Derivatives
  Econometric Theory, Cambridge University Press (2014)
  by Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael
  (ReDIF-article, cup:etheor:v:30:y:2014:i:06:p:1135-1164_00)
• Alternative Asymptotics And The Partially Linear Model With Many Regressors
  Econometric Theory, Cambridge University Press (2018)
  by Cattaneo, Matias D. & Jansson, Michael & Newey, Whitney K.
  (ReDIF-article, cup:etheor:v:34:y:2018:i:02:p:277-301_00)
• Average Density Estimators: Efficiency And Bootstrap Consistency
  Econometric Theory, Cambridge University Press (2022)
  by Cattaneo, Matias D. & Jansson, Michael
  (ReDIF-article, cup:etheor:v:38:y:2022:i:6:p:1140-1174_5)
• Housing, Health and Happiness
  CEDLAS, Working Papers, CEDLAS, Universidad Nacional de La Plata (2008)
  by Matias Cattaneo & Sebastian Galiani & Paul Gertler & Sebastian Martinez & Rocio Titiunik
  (ReDIF-paper, dls:wpaper:0074)
• Efficient semiparametric estimation of multi-valued treatment effects under ignorability
  Journal of Econometrics, Elsevier (2010)
  by Cattaneo, Matias D.
  (ReDIF-article, eee:econom:v:155:y:2010:i:2:p:138-154)
• Optimal inference for instrumental variables regression with non-Gaussian errors
  Journal of Econometrics, Elsevier (2012)
  by Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael
  (ReDIF-article, eee:econom:v:167:y:2012:i:1:p:1-15)
• Optimal convergence rates, Bahadur representation, and asymptotic normality of partitioning estimators
  Journal of Econometrics, Elsevier (2013)
  by Cattaneo, Matias D. & Farrell, Max H.
  (ReDIF-article, eee:econom:v:174:y:2013:i:2:p:127-143)
• Local regression distribution estimators
  Journal of Econometrics, Elsevier (2024)
  by Cattaneo, Matias D. & Jansson, Michael & Ma, Xinwei
  (ReDIF-article, eee:econom:v:240:y:2024:i:2:s0304407621000427)
• A martingale decomposition for quadratic forms of Markov chains (with applications)
  Stochastic Processes and their Applications, Elsevier (2014)
  by Atchadé, Yves F. & Cattaneo, Matias D.
  (ReDIF-article, eee:spapps:v:124:y:2014:i:1:p:646-677)
• Unknown item RePEc:eme:aecopp:aeco.2017.38 (book)
• Efficient Estimation of the Dose–Response Function Under Ignorability Using Subclassification on the Covariates
  Advances in Econometrics, Emerald Group Publishing Limited (2011)
  by Matias D. Cattaneo & Max H. Farrell
  (ReDIF-chapter, eme:aecozz:s0731-9053(2011)000027a007)
• Bootstrapping density-weighted average derivatives
  Staff Reports, Federal Reserve Bank of New York (2010)
  by Matias D. Cattaneo & Richard K. Crump & Michael Jansson
  (ReDIF-paper, fip:fednsr:452)
• Characteristic-Sorted Portfolios: Estimation and Inference
  Staff Reports, Federal Reserve Bank of New York (2016)
  by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg
  (ReDIF-paper, fip:fednsr:788)
• On binscatter
  Staff Reports, Federal Reserve Bank of New York (2019)
  by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng
  (ReDIF-paper, fip:fednsr:881)
• Beta-Sorted Portfolios
  Staff Reports, Federal Reserve Bank of New York (2023)
  by Matias D. Cattaneo & Richard K. Crump & Weining Wang
  (ReDIF-paper, fip:fednsr:96510)
• Nonlinear Binscatter Methods
  Staff Reports, Federal Reserve Bank of New York (2024)
  by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng
  (ReDIF-paper, fip:fednsr:98622)
• Inference in linear regression models with many covariates and heteroskedasticity
  CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies (2017)
  by Matias Cattaneo & Michael Jansson & Whitney K. Newey
  (ReDIF-paper, ifs:cemmap:03/17)
• Alternative asymptotics and the partially linear model with many regressors
  CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies (2015)
  by Matias Cattaneo & Michael Jansson & Whitney K. Newey
  (ReDIF-paper, ifs:cemmap:36/15)
• Treatment effects with many covariates and heteroskedasticity
  CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies (2015)
  by Matias Cattaneo & Michael Jansson & Whitney K. Newey
  (ReDIF-paper, ifs:cemmap:37/15)
• Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs
  The Econometrics Journal, Royal Economic Society (2020)
  by Sebastian Calonico & Matias D Cattaneo & Max H Farrell
  (ReDIF-article, oup:emjrnl:v:23:y:2020:i:2:p:192-210.)
• Two-Step Estimation and Inference with Possibly Many Included Covariates
  The Review of Economic Studies, Review of Economic Studies Ltd (2019)
  by Matias D Cattaneo & Michael Jansson & Xinwei Ma
  (ReDIF-article, oup:restud:v:86:y:2019:i:3:p:1095-1122.)
• multi-valued treatment effects
  The New Palgrave Dictionary of Economics, Palgrave Macmillan (2010)
  by Matias D. Cattaneo
  (ReDIF-chapter, pal:dofeco:v:4:year:2010:doi:3825)
• Generalized Jackknife Estimators of Weighted Average Derivatives
  Journal of the American Statistical Association, Taylor & Francis Journals (2013)
  by Matias D. Cattaneo & Richard K. Crump & Michael Jansson
  (ReDIF-article, taf:jnlasa:v:108:y:2013:i:504:p:1243-1256)
• Rejoinder
  Journal of the American Statistical Association, Taylor & Francis Journals (2013)
  by Matias D. Cattaneo & Richard K. Crump & Michael Jansson
  (ReDIF-article, taf:jnlasa:v:108:y:2013:i:504:p:1265-1268)
• Optimal Data-Driven Regression Discontinuity Plots
  Journal of the American Statistical Association, Taylor & Francis Journals (2015)
  by Sebastian Calonico & Matias D. Cattaneo & Rocío Titiunik
  (ReDIF-article, taf:jnlasa:v:110:y:2015:i:512:p:1753-1769)
• On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference
  Journal of the American Statistical Association, Taylor & Francis Journals (2018)
  by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell
  (ReDIF-article, taf:jnlasa:v:113:y:2018:i:522:p:767-779)
• Inference in Linear Regression Models with Many Covariates and Heteroscedasticity
  Journal of the American Statistical Association, Taylor & Francis Journals (2018)
  by Matias D. Cattaneo & Michael Jansson & Whitney K. Newey
  (ReDIF-article, taf:jnlasa:v:113:y:2018:i:523:p:1350-1361)
• Simple Local Polynomial Density Estimators
  Journal of the American Statistical Association, Taylor & Francis Journals (2020)
  by Matias D. Cattaneo & Michael Jansson & Xinwei Ma
  (ReDIF-article, taf:jnlasa:v:115:y:2020:i:531:p:1449-1455)
• Introduction to the Special Section on Synthetic Control Methods
  Journal of the American Statistical Association, Taylor & Francis Journals (2021)
  by Alberto Abadie & Matias D. Cattaneo
  (ReDIF-article, taf:jnlasa:v:116:y:2021:i:536:p:1713-1715)
• Prediction Intervals for Synthetic Control Methods
  Journal of the American Statistical Association, Taylor & Francis Journals (2021)
  by Matias D. Cattaneo & Yingjie Feng & Rocio Titiunik
  (ReDIF-article, taf:jnlasa:v:116:y:2021:i:536:p:1865-1880)
• Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs
  Journal of the American Statistical Association, Taylor & Francis Journals (2021)
  by Matias D. Cattaneo & Luke Keele & Rocío Titiunik & Gonzalo Vazquez-Bare
  (ReDIF-article, taf:jnlasa:v:116:y:2021:i:536:p:1941-1952)
• Uniform Inference for Kernel Density Estimators with Dyadic Data
  Journal of the American Statistical Association, Taylor & Francis Journals (2024)
  by Matias D. Cattaneo & Yingjie Feng & William G. Underwood
  (ReDIF-article, taf:jnlasa:v:119:y:2024:i:548:p:2695-2708)
• Comment
  Journal of Business & Economic Statistics, Taylor & Francis Journals (2014)
  by Matias D. Cattaneo & Richard K. Crump
  (ReDIF-article, taf:jnlbes:v:32:y:2014:i:3:p:324-329)
• Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)
  Journal of Business & Economic Statistics, Taylor & Francis Journals (2023)
  by Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu
  (ReDIF-article, taf:jnlbes:v:41:y:2023:i:4:p:1030-1034)
• Regression Discontinuity Designs Using Covariates
  The Review of Economics and Statistics, MIT Press (2019)
  by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocío Titiunik
  (ReDIF-article, tpr:restat:v:101:y:2019:i:3:p:442-451)
• Characteristic-Sorted Portfolios: Estimation and Inference
  The Review of Economics and Statistics, MIT Press (2020)
  by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg
  (ReDIF-article, tpr:restat:v:102:y:2020:i:3:p:531-551)
• Estimation of multivalued treatment effects under conditional independence
  Stata Journal, StataCorp LLC (2013)
  by Matias D. Cattaneo & David M. Drukker & Ashley D. Holland
  (ReDIF-article, tsj:stataj:v:13:y:2013:i:3:p:407-450)
• Robust data-driven inference in the regression-discontinuity design
  Stata Journal, StataCorp LLC (2014)
  by Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik
  (ReDIF-article, tsj:stataj:v:14:y:2014:i:4:p:909-946)
• rdrobust: Software for regression-discontinuity designs
  Stata Journal, StataCorp LLC (2017)
  by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Roc ́ıo Titiunik
  (ReDIF-article, tsj:stataj:v:17:y:2017:i:2:p:372-404)
• Manipulation testing based on density discontinuity
  Stata Journal, StataCorp LLC (2018)
  by Matias D. Cattaneo & Michael Jansson & Xinwei Ma
  (ReDIF-article, tsj:stataj:v:18:y:2018:i:1:p:234-261)
• Power calculations for regression-discontinuity designs
  Stata Journal, StataCorp LLC (2019)
  by Matias Cattaneo & Rocio Titiunik & Gonzalo Vazquez-Bare
  (ReDIF-article, tsj:stataj:v:19:y:2019:i:1:p:210-245)
• Analysis of regression-discontinuity designs with multiple cutoffs or multiple scores
  Stata Journal, StataCorp LLC (2020)
  by Matias D. Cattaneo & Rocío Titiunik & Gonzalo Vazquez-Bare
  (ReDIF-article, tsj:stataj:v:20:y:2020:i:4:p:866-891)
• Binscatter regressions
  Stata Journal, StataCorp LLC (2025)
  by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng
  (ReDIF-article, tsj:stataj:v:25:y:2025:i:1:p:3-50)
• Inference in regression discontinuity designs under local randomization
  Stata Journal, StataCorp LLC (2016)
  by Matias D. Cattaneo & Roc ́ıo Titiunik & Gonzalo Vazquez-Bare
  (ReDIF-article, tsj:stataj:y:16:y:2016:i:2:p:331-367)
• A Random Attention Model
  Journal of Political Economy, University of Chicago Press (2020)
  by Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu & Elchin Suleymanov
  (ReDIF-article, ucp:jpolec:doi:10.1086/706861)
• Housing, health, and happiness
  Policy Research Working Paper Series, The World Bank (2007)
  by Cattaneo, Matias D. & Galiano, Sebastian & Gertler, Paul J. & Martinez, Sebastian & Titiunik, Rocio
  (ReDIF-paper, wbk:wbrwps:4214)
• Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs
  Econometrica, Econometric Society (2014)
  by Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik
  (ReDIF-article, wly:emetrp:v:82:y:2014:i::p:2295-2326)
• Kernel†Based Semiparametric Estimators: Small Bandwidth Asymptotics and Bootstrap Consistency
  Econometrica, Econometric Society (2018)
  by Matias D. Cattaneo & Michael Jansson
  (ReDIF-article, wly:emetrp:v:86:y:2018:i:3:p:955-995)
• Bootstrap‐Based Inference for Cube Root Asymptotics
  Econometrica, Econometric Society (2020)
  by Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa
  (ReDIF-article, wly:emetrp:v:88:y:2020:i:5:p:2203-2219)
• Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality
  Journal of Policy Analysis and Management, John Wiley & Sons, Ltd. (2017)
  by Burt S. Barnow & Matias D. Cattaneo & Rocío Titiunik & Gonzalo Vazquez‐Bare
  (ReDIF-article, wly:jpamgt:v:36:y:2017:i:3:p:643-681)