Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model

We study the identification and estimation of statistical functionals of multivariate data missing non-monotonically and not-at-random, taking a semiparametric approach. Specifically, we assume that the missingness mechanism satisfies what has been previously called "no self-censoring" or...

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Veröffentlicht in:	arXiv.org 2022-12
Hauptverfasser:	Malinsky, Daniel, Shpitser, Ilya, Eric J Tchetgen Tchetgen
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer simulation Economic models Mathematics - Statistics Theory Multivariate analysis Parameterization Statistical analysis Statistics - Methodology Statistics - Theory
Online-Zugang:	Volltext
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