@misc{10109,
title = {A Primer for Applying Propensity-Score Matching},
author = {Heinrich, Carolyn and Maffioli, Alessandro and Vázquez, Gonzalo},
year = {2011},
doi = {10.18235/0008567},
abstract = {This document provides a guide to the key aspects of implementing Propensity-Score Matching (PSM) methodology. It summarizes the basic conditions under which PSM can be used to estimate the impact of a program and the data required, presenting examples of PSM applications. It explains how the Conditional Independence Assumption, combined with the Overlap Condition, reduces selection bias when participation in a program is determined by observable characteristics. It also describes different matching algorithms and some tests to assess the quality of the matching.},
url = {https://doi.org/10.18235/0008567}
}