Online Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 281 - The State-of-the-Art Developments with Nonignorable Nonresponse
Type: Invited
Date/Time: Wednesday, August 5, 2020 : 10:00 AM to 11:50 AM
Sponsor: Survey Research Methods Section
Abstract #309461
Title: Semiparametric Response Model with Nonignorable Nonresponse
Author(s): Jae-kwang Kim*
Companies: Iowa State University
Keywords: Profile maximum likelihood method; Calibration estimation; Instrumental variable
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 model assumption in the response mechanism. Two types of efficient estimators, pro file maximum likelihood estimator and pro file 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.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2020 program