Campus Units
Statistics
Document Type
Article
Publication Version
Submitted Manuscript
Publication Date
10-31-2018
Journal or Book Title
arxiv
Abstract
How to deal with nonignorable response is often a challenging problem encountered in statistical analysis with missing data. Parametric model assumption for the response mechanism is often made and there is no way to validate the model assumption with missing data. We consider a semiparametric response model that relaxes the parametric model assumption in the response mechanism. Two types of efficient estimators, profile maximum likelihood estimator and profile calibration estimator, are proposed and their asymptotic properties are investigated. Two extensive simulation studies are used to compare with some existing methods. We present an application of our method using Korean Labor and Income Panel Survey data.
Copyright Owner
The Authors
Copyright Date
2018
Language
en
File Format
application/pdf
Recommended Citation
Uehara, Masatoshi and Kim, Jae Kwang, "Semiparametric response model with nonignorable nonresponse" (2018). Statistics Publications. 267.
https://lib.dr.iastate.edu/stat_las_pubs/267
Comments
This pre-print is made available through arxiv: https://arxiv.org/abs/1810.12519.