Random Recursive Partitioning: A Matching Method for the Estimation of the Average Treatment Effect (original) (raw)

Average Treatment Effect Estimation Via Random Recursive Partitioning

Stefano Iacus

SSRN Electronic Journal, 2000

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Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score

Geert Ridder

2000

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Simple and Bias-Corrected Matching Estimators for Average Treatment Effects

Guido Imbens

SSRN Electronic Journal, 2000

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The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators

Michael Lechner SEW

Journal of Business & Economic Statistics

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Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour

Michael Lechner

Empirical Economics, 2014

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Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation

Michael Lechner

2012

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The Finite Sample Performance of Semi-and Nonparametric Estimators for Treatment Effects and Policy Evaluation

Martin Huber

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New evidence on the finite sample properties of propensity score matching and reweighting estimators

Justin McCrary

2009

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The performance of estimators based on the propensity score

Michael Lechner

2012

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An Introduction to the Augmented Inverse Propensity Weighted Estimator

Adam Glynn

Political Analysis, 2010

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Matching on the Estimated Propensity Score

Guido Imbens

2009

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The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates

Michael Lechner

arXiv (Cornell University), 2022

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A Primer on Propensity Score Matching Estimators

Katja Vinha

2002

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Improved Estimation of Average Treatment Effects on the Treated: Local Efficiency, Double Robustness, and Beyond

Heng Shu

arXiv: Methodology, 2018

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Large Sample Properties of Matching Estimators for Average Treatment Effects

Guido Imbens

Econometrica, 2006

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Finite Sample Properties of Semiparametric Estimators of Average Treatment Effects

Justin McCrary

2009

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Dealing with Limited Overlap in Estimation of Average Treatment Effects

Guido Imbens

2004

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Bootstrap Inference for Propensity Score Matching

Shan Rana

2017

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Comparing Continuous Treatment Matching Methods in Policy Evaluation

Cristina Bernini, V. Adorno, Guido Pellegrini

Studies in Classification, Data Analysis, and Knowledge Organization, 2009

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Bounds for Average Treatment Effect : A Comparison of Non-parametric and Quasi Maximum Likelihood Estimators

Donald Poskitt

2019

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Matching to estimate the causal effects from multiple treatments

Roee Gutman

2014

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Matching As An Econometric Evaluation Estimator

Donghoon Kim

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A Wild Bootstrap Algorithm for Propensity Score Matching Estimators

Michael Lechner, Martin Huber

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Targeted Estimation and Inference for the Sample Average Treatment Effect

Mark Van Der Laan

2015

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Reconciling Conflicting Evidence on the Performance of Propensity-Score Matching Methods

Petra Todd

American Economic Review, 2001

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Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models

Andrea Rotnitzky

ArXiv, 2019

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Inference on Finite Population Treatment Effects Under Limited Overlap

Michael Leung

SSRN Electronic Journal, 2018

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PROPENSITY SCORE-MATCHING METHODS FOR NONEXPERIMENTAL CAUSAL STUDIES

Wilfredo Chacón Rodrigo

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Outliers in semi-parametric Estimation of Treatment Effects

Valor Público - Centro de estudios e incidencia, Darwin Ugarte Ontiveros

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Estimating Heterogeneous Treatment Effects with Observational Data

Jennie Brand

Sociological Methodology, 2012

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Efficient propensity score regression estimators of multivalued treatment effects for the treated

Ying-Ying Lee

Journal of Econometrics

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Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models

Andrea Rotnitzky

J. Mach. Learn. Res., 2020

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An Assessment of Propensity Score Matching as a Nonexperimental Impact Estimator

Juan Jose Diaz

Journal of Human Resources, 2006

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