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- de Luna, XavierUmeå universitet,Statistik,Stat4Reg,Umea Univ, Dept Stat, USBE, SE-90187 Umea, Sweden. (author)
Proxy variables and nonparametric identification of causal effects
- Article/chapterEnglish2017
Publisher, publication year, extent ...
- Elsevier BV,2017
- printrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:umu-129519
- https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-129519URI
- https://doi.org/10.1016/j.econlet.2016.11.018DOI
- https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-316421URI
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- Language:English
- Summary in:English
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- Proxy variables are often used in linear regression models with the aim of removing potential confounding bias. In this paper we formalise proxy variables within the potential outcomes framework, giving conditions under which it can be shown that causal effects are nonparametrically identified. We characterise two types of proxy variables and give concrete examples where the proxy conditions introduced may hold by design.
Subject headings and genre
- NATURVETENSKAP Matematik Sannolikhetsteori och statistik hsv//swe
- NATURAL SCIENCES Mathematics Probability Theory and Statistics hsv//eng
- SAMHÄLLSVETENSKAP Ekonomi och näringsliv hsv//swe
- SOCIAL SCIENCES Economics and Business hsv//eng
- Average treatment effect
- Observational studies
- Potential outcomes
- Unobserved confounders
- Statistics
- statistik
Added entries (persons, corporate bodies, meetings, titles ...)
- Fowler, Philip,1986-Umeå universitet,Statistik,Stat4Reg,Umea Univ, Dept Stat, USBE, SE-90187 Umea, Sweden.(Swepub:umu)phfo0001 (author)
- Johansson, PerUppsala universitet,Statistiska institutionen,Institutet för arbetsmarknadspolitisk utvärdering (IFAU),Inst Study Labor IZA, Bonn, Germany.(Swepub:uu)perjohan (author)
- Umeå universitetStatistik (creator_code:org_t)
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- In:Economics Letters: Elsevier BV150, s. 152-1540165-17651873-7374
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