Semiparametric maximum likelihood inference for nonignorable nonresponse with callbacks
We model the nonresponse probabilities as logistic functions ofthe outcome variable and other covariates in the survey sampling study withcallback. The identification aspect of this callback model is investigated. Semiparametricmaximum likelihood estimators of the parameters in the responseprobabili...
Saved in:
Main Authors: | GUAN, Zhong, LEUNG, Denis H. Y., QIN, Jing |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2018
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soe_research/2217 https://ink.library.smu.edu.sg/context/soe_research/article/3216/viewcontent/semiparametric_maximum_likelihood_inference.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Estimation procedures for categorical survey data with nonignorable nonresponse
by: Kuk, A.Y.C., et al.
Published: (2014) -
Nonignorable missing data, single index propensity score and profile synthetic distribution function
by: CHEN, Xuerong, et al.
Published: (2022) -
An empirical likelihood approach to quantile regression with auxiliary information
by: Tang, C.Y., et al.
Published: (2014) -
Empirical likelihood and quantile regression in longitudinal data analysis
by: Tang, C.Y., et al.
Published: (2014) -
A hybrid pairwise likelihood method
by: Kuk, A.Y.C.
Published: (2014)