Results 1 to 10 of about 2,877,506 (191)
Marginal Treatment Effects from a Propensity Score Perspective. [PDF]
J Polit Econ, 2019 We offer a propensity score perspective to interpret and analyze the marginal treatment effect (MTE). Specifically, we redefine MTE as the expected treatment effect conditional on the propensity score and a latent variable representing unobserved ...
Zhou X, Xie Y.
europepmc +5 more sources
Partial Identification of Marginal Treatment Effects with Discrete Instruments and Misreported Treatment* [PDF]
Oxford Bulletin of Economics and Statistics, 2021 This paper provides partial identification results for the marginal treatment effect (MTE) when the binary treatment variable is potentially misreported and the instrumental variable is discrete.
Santiago Acerenza
semanticscholar +3 more sources
Estimating marginal treatment effects under unobserved group heterogeneity [PDF]
Journal of Causal Inference, 2022 This article studies the treatment effect models in which individuals are classified into unobserved groups based on heterogeneous treatment rules. By using a finite mixture approach, we propose a marginal treatment effect (MTE) framework in which the ...
Hoshino Tadao, Yanagi Takahide
doaj +3 more sources
Identifying Marginal Treatment Effects in the Presence of Sample Selection [PDF]
SSRN Electronic Journal, 2019 This article presents identification results for the marginal treatment effect (MTE) when there is sample selection. We show that the MTE is partially identified for individuals who are always observed regardless of treatment, and derive uniformly sharp ...
Otávio Bartalotti +2 more
semanticscholar +3 more sources
BMC Medical Research Methodology, 2012 Background Due to time-dependent confounding by blood pressure and differential loss to follow-up, it is difficult to estimate the effectiveness of aggressive versus conventional antihypertensive combination therapies in non-randomized comparisons ...
Gerhard Tobias +7 more
doaj +2 more sources
Marginal Treatment Effects in the Absence of Instrumental Variables
Journal of Applied EconometricsWe propose a method for defining, identifying, and estimating the marginal treatment effect (MTE) without imposing the instrumental variable (IV) assumptions of independence, exclusion, and separability (or monotonicity).
Zhi-Wei Pan +3 more
semanticscholar +3 more sources
Identification of Marginal Treatment Effects Using Subjective Expectations
SSRN Electronic JournalWe develop a method to identify the individual latent propensity to select into treat-ment and marginal treatment effects. Identification is achieved with survey data on individuals’ subjective expectations of their treatment propensity and of their ...
Joseph Briggs +3 more
semanticscholar +3 more sources
Comparative Advantage, Segmentation and Informal Earnings: A Marginal Treatment Effects Approach [PDF]
SSRN Electronic Journal, 2009 This paper employs recently developed econometric models of marginal treatment effects to analyze the relevance of labor market comparative advantage and segmentation in the participation and earnings performance of workers in formal and informal jobs in
O. Arias, Melanie Khamis
semanticscholar +4 more sources
Ivmte: An R Package for Implementing Marginal Treatment Effect Methods [PDF]
SSRN Electronic Journal, 2020 Instrumental variable (IV) strategies are widely used to estimate causal effects in economics, political science, epidemiology, and many other fields. When there is unobserved heterogeneity in causal effects, standard linear IV estimators only represent ...
J. Shea, Alexander Torgovitsky
semanticscholar +2 more sources
Estimating Marginal Treatment Effects using Parametric and Semiparametric Methods [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2014 We describe the new command margte, which computes marginal and average treatment effects for a model with a binary treatment and a continuous outcome given selection on unobservables and returns.
Scott A. Brave, Thomas Walstrum
semanticscholar +2 more sources