Proxy variables and nonparametric identification of causal effects

DOI10.1016/J.ECONLET.2016.11.018zbMath1400.62152OpenAlexW2492571472WikidataQ61885511 ScholiaQ61885511MaRDI QIDQ1672778

Philip Fowler, Xavier de Luna, Per-Olov Johansson

Publication date: 11 September 2018

Published in: Economics Letters (Search for Journal in Brave)

Full work available at URL: http://www.ifau.se/globalassets/pdf/se/2016/wp2016-12-proxy-variables-and-nonparametric-identification-of-causal-effects.pdf

zbMATH Keywords

linear regressionobservational studiespotential outcomesaverage treatment effectproxy variablesunobserved confounders

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Linear regression; mixed models (62J05)

Cites Work

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