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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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Citations: View citations in EconPapers (1)

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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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