Generalizability of heterogeneous treatment effect estimates across samples
Alexander Coppock; Thomas J. Leeper; Kevin Mullinix · 2018 · Proceedings of the National Academy of Sciences
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
The extent to which survey experiments conducted with nonrepresentative convenience samples are generalizable to target populations depends critically on the degree of treatment effect heterogeneity. Recent inquiries have found a strong…
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Metadata source: OpenAlex · DOI 10.1073/pnas.1808083115