Why Propensity Scores Should Not Be Used for Matching
Abstract
We show that propensity score matching (PSM), an enormously popular method of preprocessing data for causal inference, often accomplishes the opposite of its intended goal—thus increasing imbalance, inefficiency, model dependence, and bias. The weakness of PSM comes from its attempts to approximate a completely randomized experiment, rather than, as with other matching methods, a more efficient fully blocked randomized experiment. PSM is thus...
Paper Details
Title
Why Propensity Scores Should Not Be Used for Matching
Published Date
May 7, 2019
Journal
Volume
27
Issue
4
Pages
435 - 454
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