Long-term care insurance purchase decisions of registered nurses: Deep learning versus logistic regression models
Hon-Yi Shi,
Shu-Chuan Jennifer Yeh,
Hsueh-Chih Chou and
Wen Chun Wang
Health Policy, 2023, vol. 129, issue C
Abstract:
The purpose of this study was to use a deep learning model and a traditional statistical regression model to predict the long-term care insurance decisions of registered nurses.
Keywords: Long-term care insurance; Inverse probability of treatment weighting; Deep neural networks; Multiple logistic regression; Feature importance analysis (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:hepoli:v:129:y:2023:i:c:s0168851023000040
DOI: 10.1016/j.healthpol.2023.104709
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