Overlap Assumption
The Overlap Assumption is a foundational condition in propensity score methods that requires every unit in a study sample to have a nonzero probability of being assigned to either treatment or control, ensuring that the distributions of covariates in the treated and control groups have common support, thereby enabling valid causal comparisons.
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Stephen M. Barnett, Sarah Croke · Advances in Optics and Photonics · 2009 · 473 citations
Contemporary Physics · 2000 · 411 citations · Full text
A Primer for Applying Propensity-Score Matching
Carolyn J. Heinrich, Alessandro Maffioli, Gonzalo Vázquez · 2010 · 278 citations · Full text
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Duke University
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Inter-American Development Bank
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National Bureau of Economic Research
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The Abdus Salam International Centre for Theoretical Physics (ICTP)
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Texas A&M University
College Station, United States
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