Campus Units

Statistics

Document Type

Article

Publication Version

Published Version

Publication Date

2016

Journal or Book Title

The Annals of Applied Statistics

Volume

10

Issue

2

First Page

1063

Last Page

1085

DOI

10.1214/16-AOAS930

Abstract

Mixed-mode surveys are becoming more popular recently because of their convenience for users, but different mode effects can complicate the comparability of the survey results. Motivated by the Private Education Expenditure Survey (PEES) of Korea, we propose a novel application of fractional imputation to handle mixed-mode survey data. The proposed method is applied to create imputed values of the unobserved counterfactual outcome variables in the mixed-mode surveys. The proposed method is directly applicable when the choice of survey mode is self-selected. Variance estimation using Taylor linearization is developed. Results from a limited simulation study are also presented.

Comments

This article is published as Park, Seunghwan, Jae Kwang Kim, and Sangun Park. "An imputation approach for handling mixed-mode surveys." The Annals of Applied Statistics 10, no. 2 (2016): 1063-1085. doi:10.1214/16-AOAS930. Posted with permission.

Copyright Owner

Institute of Mathematical Statistics

Language

en

File Format

application/pdf

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