Leveraging auxiliary information on marginal distributions in nonignorable models for item and unit nonresponse

Journal Article (Journal Article)

Often, government agencies and survey organizations know the population counts or percentages for some of the variables in a survey. These may be available from auxiliary sources, for example administrative databases or other high-quality surveys. We present and illustrate a model-based framework for leveraging such auxiliary marginal information when handling unit and item nonresponse. We show how one can use the margins to specify different missingness mechanisms for each type of nonresponse. We use the framework to impute missing values in voter turnout in a subset of data from the US Current Population Survey. In doing so, we examine the sensitivity of results to different assumptions about the unit and item nonresponse.

Full Text

Duke Authors

Cited Authors

  • Akande, O; Madson, G; Hillygus, DS; Reiter, JP

Published Date

  • April 1, 2021

Published In

Volume / Issue

  • 184 / 2

Start / End Page

  • 643 - 662

Electronic International Standard Serial Number (EISSN)

  • 1467-985X

International Standard Serial Number (ISSN)

  • 0964-1998

Digital Object Identifier (DOI)

  • 10.1111/rssa.12635

Citation Source

  • Scopus