A note on the equivalence of two semiparametric estimation methods for nonignorable nonresponse

DOI10.1016/J.SPL.2018.03.020zbMath1463.62011OpenAlexW2802743108WikidataQ129913747 ScholiaQ129913747MaRDI QIDQ1644174

Kosuke Morikawa, Jae Kwang Kim

Publication date: 21 June 2018

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2018.03.020

zbMATH Keywords

incomplete datasemiparametric estimationempirical likelihoodnonignorable nonresponsenot missing at random (NMAR)

Mathematics Subject Classification ID

Density estimation (62G07) Nonparametric robustness (62G35) Sampling theory, sample surveys (62D05) Missing data (62D10)

Related Items (6)

Statistical data integration in survey sampling: a review ⋮ Statistical matching of sample survey data: application to integrate Iranian time use and labour force surveys ⋮ Statistical inference with semiparametric nonignorable nonresponse models ⋮ Unnamed Item ⋮ On classification with nonignorable missing data ⋮ On the maximal deviation of kernel regression estimators with NMAR response variables

Cites Work

• Unnamed Item
• Large Sample Properties of Generalized Method of Moments Estimators
• Simulation and the Asymptotics of Optimization Estimators
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Estimation With Survey Data Under Nonignorable Nonresponse or Informative Sampling
• Using empirical likelihood methods to obtain range restricted weights in regression estimators for surveys
• Multiply Robust Estimation in Regression Analysis With Missing Data
• Empirical-Likelihood-Based Inference in Missing Response Problems and Its Application in Observational Studies
• Using Calibration Weighting to Adjust for Nonignorable Unit Nonresponse
• Covariate Balancing Propensity Score

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