Semiparametric Estimation with Data Missing Not at Random Using an Instrumental Variable
نویسندگان
چکیده
منابع مشابه
A general instrumental variable framework for regression analysis with outcome missing not at random.
The instrumental variable (IV) design is a well-known approach for unbiased evaluation of causal effects in the presence of unobserved confounding. In this article, we study the IV approach to account for selection bias in regression analysis with outcome missing not at random. In such a setting, a valid IV is a variable which (i) predicts the nonresponse process, and (ii) is independent of the...
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ژورنال
عنوان ژورنال: Statistica Sinica
سال: 2018
ISSN: 1017-0405
DOI: 10.5705/ss.202016.0324