Imputation And Estimation Under Nonignorable Nonresponse For Household Surveys With Missing Covariate Information

Abstract

In this paper we develop and apply new methods for handling not missing at random (NMAR) nonresponse. We assume a model for the outcome variable under complete response and a model for the response probability, which is allowed to depend on the outcome and auxiliary variables. The two models define the model holding for the outcomes observed for the… (More)

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