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 resistance to treatment. As with the original MTE, the redefined MTE can be used as a building block for constructing standard causal estimands. The weights associated with the new MTE, however, are simpler, more intuitive, and easier to compute. Moreover, the redefined MTE immediately reveals treatment effect heterogeneity among individuals at the margin of treatment, enabling us to evaluate a wide range of policy effects.
Description
Marginal Treatment Effects from a Propensity Score Perspective | Journal of Political Economy: Ahead of Print
%0 Journal Article
%1 doi:10.1086/702172
%A Zhou, Xiang
%A Xie, Yu
%D 0
%J Journal of Political Economy
%K effect marginal treatment
%N 0
%P 000-000
%R 10.1086/702172
%T Marginal Treatment Effects from a Propensity Score Perspective
%U https://doi.org/10.1086/702172
%V 0
%X 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 resistance to treatment. As with the original MTE, the redefined MTE can be used as a building block for constructing standard causal estimands. The weights associated with the new MTE, however, are simpler, more intuitive, and easier to compute. Moreover, the redefined MTE immediately reveals treatment effect heterogeneity among individuals at the margin of treatment, enabling us to evaluate a wide range of policy effects.
@article{doi:10.1086/702172,
abstract = { 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 resistance to treatment. As with the original MTE, the redefined MTE can be used as a building block for constructing standard causal estimands. The weights associated with the new MTE, however, are simpler, more intuitive, and easier to compute. Moreover, the redefined MTE immediately reveals treatment effect heterogeneity among individuals at the margin of treatment, enabling us to evaluate a wide range of policy effects. },
added-at = {2019-10-29T08:07:23.000+0100},
author = {Zhou, Xiang and Xie, Yu},
biburl = {https://www.bibsonomy.org/bibtex/23dc4f9b40cf4f15184e6b5d9c6095faf/fghdfgh},
description = {Marginal Treatment Effects from a Propensity Score Perspective | Journal of Political Economy: Ahead of Print},
doi = {10.1086/702172},
eprint = {https://doi.org/10.1086/702172},
interhash = {fa8ebd2efe933da5a4836dc8cacbc212},
intrahash = {3dc4f9b40cf4f15184e6b5d9c6095faf},
journal = {Journal of Political Economy},
keywords = {effect marginal treatment},
number = 0,
pages = {000-000},
timestamp = {2019-10-29T08:07:23.000+0100},
title = {Marginal Treatment Effects from a Propensity Score Perspective},
url = {https://doi.org/10.1086/702172},
volume = 0,
year = 0
}