Max H Farrell
Names
| first: | Max |
| middle: | H |
| last: | Farrell |
Identifer
| RePEc Short-ID: | pfa702 |
Contact
Affiliations
-
University of California-Santa Barbara (UCSB)
/ Department of Economics
- EDIRC entry
- location:
Research profile
author of:
- On Binscatter (RePEc:aea:aecrev:v:114:y:2024:i:5:p:1488-1514)
by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng - Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations (RePEc:arx:papers:1309.4686)
by Max H. Farrell - On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference (RePEc:arx:papers:1508.02973)
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell - Large Sample Properties of Partitioning-Based Series Estimators (RePEc:arx:papers:1804.04916)
by Matias D. Cattaneo & Max H. Farrell & Yingjie Feng - Coverage Error Optimal Confidence Intervals for Local Polynomial Regression (RePEc:arx:papers:1808.01398)
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell - Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs (RePEc:arx:papers:1809.00236)
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell - Characteristic-Sorted Portfolios: Estimation and Inference (RePEc:arx:papers:1809.03584)
by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg - Regression Discontinuity Designs Using Covariates (RePEc:arx:papers:1809.03904)
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocio Titiunik - Deep Neural Networks for Estimation and Inference (RePEc:arx:papers:1809.09953)
by Max H. Farrell & Tengyuan Liang & Sanjog Misra - On Binscatter (RePEc:arx:papers:1902.09608)
by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng - Binscatter Regressions (RePEc:arx:papers:1902.09615)
by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng - nprobust: Nonparametric Kernel-Based Estimation and Robust Bias-Corrected Inference (RePEc:arx:papers:1906.00198)
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell - lspartition: Partitioning-Based Least Squares Regression (RePEc:arx:papers:1906.00202)
by Matias D. Cattaneo & Max H. Farrell & Yingjie Feng - Deep Learning for Individual Heterogeneity: An Automatic Inference Framework (RePEc:arx:papers:2010.14694)
by Max H. Farrell & Tengyuan Liang & Sanjog Misra - Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators (RePEc:arx:papers:2301.00277)
by Matias D. Cattaneo & Max H. Farrell & Michael Jansson & Ricardo Masini - Nonlinear Binscatter Methods (RePEc:arx:papers:2407.15276)
by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng - RDROBUST: Stata module to provide robust data-driven inference in the regression-discontinuity design (RePEc:boc:bocode:s458483)
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocio Titiunik - Optimal convergence rates, Bahadur representation, and asymptotic normality of partitioning estimators (RePEc:eee:econom:v:174:y:2013:i:2:p:127-143)
by Cattaneo, Matias D. & Farrell, Max H. - Robust inference on average treatment effects with possibly more covariates than observations (RePEc:eee:econom:v:189:y:2015:i:1:p:1-23)
by Farrell, Max H. - Efficient Estimation of the Dose–Response Function Under Ignorability Using Subclassification on the Covariates (RePEc:eme:aecozz:s0731-9053(2011)000027a007)
by Matias D. Cattaneo & Max H. Farrell - Characteristic-Sorted Portfolios: Estimation and Inference (RePEc:fip:fednsr:788)
by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg - On binscatter (RePEc:fip:fednsr:881)
by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng - Nonlinear Binscatter Methods (RePEc:fip:fednsr:98622)
by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng - Unknown item RePEc:oup:emjrnl:v:23:y:2020:i:2:p:192-210. (article)
- On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference (RePEc:taf:jnlasa:v:113:y:2018:i:522:p:767-779)
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell - Regression Discontinuity Designs Using Covariates (RePEc:tpr:restat:v:101:y:2019:i:3:p:442-451)
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocío Titiunik - Characteristic-Sorted Portfolios: Estimation and Inference (RePEc:tpr:restat:v:102:y:2020:i:3:p:531-551)
by Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg - rdrobust: Software for regression-discontinuity designs (RePEc:tsj:stataj:v:17:y:2017:i:2:p:372-404)
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Roc ́ıo Titiunik - Deep Neural Networks for Estimation and Inference (RePEc:wly:emetrp:v:89:y:2021:i:1:p:181-213)
by Max H. Farrell & Tengyuan Liang & Sanjog Misra