Max H Farrell

Datos Biográficos

ID5540172
NOMBREMax H Farrell
NOMBRESMax H
APELLIDOFarrell
FIRMAFARRELL M H
AFILIACIONESUniversity of Chicago
VERIFICADONo
TOTAL DE OBRAS8
TOTAL DE CITAS0
TOTAL COMO AUTOR8
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2009
AÑO MÁS RECIENTE DE PUBLICACIÓN2020
ÍNDICE H0

  • Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs

    Open AccessSebastian Calonico, Matias D Cattaneo et al.ARTICLEThe Econometrics Journal2020

    Modern empirical work in regression discontinuity (RD) designs often employs local polynomial estimation and inference with a mean square error (MSE) optimal bandwidth choice. This bandwidth yields an MSE-optimal RD treatment effect estimator, but is by construction invalid for inference. Robust bias-corrected (RBC) inference methods are valid when using the MSE-optimal bandwidth, but we show that they yield suboptimal confidence intervals in ter…

  • Characteristic-Sorted Portfolios

    Matias D Cattaneo, Richard K Crump et al.ARTICLEThe Review of Economics and…2020

    Portfolio sorting is ubiquitous in the empirical finance literature, where it has been widely used to identify pricing anomalies. Despite its popularity, little attention has been paid to the statistical properties of the procedure. We develop a general framework for portfolio sorting by casting it as a nonparametric estimator. We present valid asymptotic inference methods and a valid mean square error expansion of the estimator leading to an opt…

  • Regression Discontinuity Designs Using Covariates

    Sebastian Calonico, Matias D Cattaneo et al.ARTICLEThe Review of Economics and…2019

    We study regression discontinuity designs when covariates are included in the estimation. We examine local polynomial estimators that include discrete or continuous covariates in an additive separable way, but without imposing any parametric restrictions on the underlying population regression functions. We recommend a covariate-adjustment approach that retains consistency under intuitive conditions and characterize the potential for estimation a…

  • On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference

    Sebastian Calonico, Matias D Cattaneo et al.ARTICLEJournal of the American…2018

    Nonparametric methods play a central role in modern empirical work. While they provide inference procedures that are more robust to parametric misspecification bias, they may be quite sensitive to tuning parameter choices. We study the effects of bias correction on confidence interval coverage in the context of kernel density and local polynomial regression estimation, and prove that bias correction can be preferred to undersmoothing for minimizi…

  • Rdrobust

    Open AccessSebastian Calonico, Matias D Cattaneo et al.ARTICLEThe Stata Journal: Promoting…2017

    We describe a major upgrade to the Stata (and R) rdrobust package, which provides a wide array of estimation, inference, and falsification methods for the analysis and interpretation of regression-discontinuity designs. The main new features of this upgraded version are as follows: i) covariate-adjusted bandwidth selection, point estimation, and robust bias-corrected inference, ii) cluster–robust bandwidth selection, point estimation, and robust …

  • Is Survival Better at Hospitals With Higher “End-of-Life” Treatment Intensity

    Amber E Barnato, Chung-Chou H Chang et al.ARTICLEMedical Care2010Referencias: 18

    BACKGROUND: Concern regarding wide variations in spending and intensive care unit use for patients at the end of life hinges on the assumption that such treatment offers little or no survival benefit. OBJECTIVE: To explore the relationship between hospital "end-of-life" (EOL) treatment intensity and postadmission survival. RESEARCH DESIGN: Retrospective cohort analysis of Pennsylvania Health Care Cost Containment Council discharge data April 2001…

  • Development and Validation of Hospital “End-of-Life” Treatment Intensity Measures

    Amber E Barnato, Max H Farrell et al.ARTICLEMedical Care2009Referencias: 12

    BACKGROUND: Health care utilization among decedents is increasingly used as a measure of health care efficiency, but decedent-based measures may be biased estimates of care received by "dying" patients. OBJECTIVE: To develop and validate new measures of hospital "end-of-life" treatment intensity. RESEARCH DESIGN: Retrospective cohort study using Pennsylvania Health Care Cost Containment Council (PHC4) discharge data (April 2001-March 2005) and Ce…

  • Organizational Determinants of Hospital End-of-Life Treatment Intensity

    Caroline Y Lin, Max H Farrell et al.ARTICLEMedical Care2009Referencias: 21

    BACKGROUND: There is substantial hospital-level variation in end-of-life (EOL) treatment intensity. OBJECTIVE: To explore the association between organizational factors and EOL treatment intensity in Pennsylvania (PA) hospitals. RESEARCH DESIGN: Cross-sectional mixed-mode survey of Chief Nursing Officers of PA hospitals linked to hospital-level measures of EOL treatment intensity calculated from PA Health Care Cost Containment Council (PHC4) hosp…