Multi-population mortality modeling: When the data is too much and not enough-Reference-Cited by-同舟云学术

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Multi-population mortality modeling: When the data is too much and not enough

Published:2022-03 Issue: Volume:103 Page:41-55
ISSN:0167-6687
Container-title:Insurance: Mathematics and Economics
language:en
Short-container-title:Insurance: Mathematics and Economics

Author:

Kung Ko-Lun^ORCID,MacMinn Richard D.^ORCID,Kuo Weiyu,Tsai Chenghsien Jason

Funder

Ministry of Science and Technology

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Statistics and Probability

Reference49 articles.

1. Inferential theory for factor models of large dimensions;Bai;Econometrica,2003

2. Estimating cross-section common stochastic trends in nonstationary panel data;Bai;Journal of Econometrics,2004

3. Efficient estimation of approximate factor models via penalized maximum likelihood;Bai;Journal of Econometrics,2016

4. Determining the number of factors in approximate factor models;Bai;Econometrica,2002

5. Forecast disagreement among FOMC members;Banternghansa,2009

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mortality improvement neural-network models with autoregressive effects;The Geneva Papers on Risk and Insurance - Issues and Practice;2024-04

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