Campus Units
Statistics
Document Type
Article
Publication Version
Submitted Manuscript
Publication Date
7-6-2012
Journal or Book Title
Biometrika
Volume
99
Issue
3
First Page
631
Last Page
648
DOI
10.1093/biomet/ass026
Abstract
Panel attrition is frequently encountered in panel sample surveys. When it is related to the observed study variable, the classical approach of nonresponse adjustment using a covariate-dependent dropout mechanism can be biased. We consider an efficient method of estimation with monotone panel attrition when the response probability depends on the previous values of study variable as well as other covariates. Because of the monotone structure of the missing pattern, the response mechanism is missing at random. The proposed estimator is asymptotically optimal in the sense that it minimizes the asymptotic variance of a class of estimators that can be written as a linear combination of the unbiased estimators of the panel estimates for each wave, and incorporates all available information using generalized least squares. Variance estimation is discussed and results from a simulation study are presented.
Copyright Owner
Biometrika Trust
Copyright Date
2012
Language
en
File Format
application/pdf
Recommended Citation
Zhou, Ming and Kim, Jae Kwang, "An efficient method of estimation for longitudinal surveys with monotone missing data" (2012). Statistics Publications. 106.
https://lib.dr.iastate.edu/stat_las_pubs/106
Included in
Design of Experiments and Sample Surveys Commons, Longitudinal Data Analysis and Time Series Commons, Statistical Methodology Commons
Comments
This is a pre-copyedited, author-produced PDF of an article accepted for publication in Biometrika following peer review. The version of record (Zhou, Ming, and Jae Kwang Kim. "An efficient method of estimation for longitudinal surveys with monotone missing data." Biometrika 99, no. 3 (2012): 631-648) is available online at doi:10.1093/biomet/ass026. Posted with permission.