Calibrated regression estimation using empirical likelihood under data fusion-Reference-Cited by-同舟云学术

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Calibrated regression estimation using empirical likelihood under data fusion

Published:2024-02 Issue: Volume:190 Page:107871
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Li Wei,Luo Shanshan,Xu Wangli^ORCID

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Renmin University of China

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference45 articles.

1. Consumption inequality and partial insurance;Blundell;Am. Econ. Rev.,2008

2. Housing wealth, financial wealth, and consumption: new evidence from micro data;Bostic;Reg. Sci. Urban Econ.,2009

3. Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data;Cao;Biometrika,2009

4. A simple multiply robust estimator for missing response problem;Chan;Stat,2013

5. Multiply robust imputation procedures for the treatment of item nonresponse in surveys;Chen;Biometrika,2017

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