---
title: Modeling Paid-Ups in Life Insurance
url: https://www.ml-quant.com/papers/repec/pal-risman-v-26-y-2024-i-3-d-10-1057-s41283-024-00146-4/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:pal:risman:v:26:y:2024:i:3:d:10.1057_s41283-024-00146-4
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1057%2Fs41283-024-00146-4%3Bh%3Drepec%3Apal%3Arisman%3Av%3A26%3Ay%3A2024%3Ai%3A3%3Ad%3A10.1057_s41283-024-00146-4
featured: 2024-05-15
citations: unknown
topic: Risk, Credit & Banking
---


# Modeling Paid-Ups in Life Insurance

Predictive models are being used to forecast the future of premium payment policies in life insurance, identifying less likely payers and the effect of surrender fees.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1057%2Fs41283-024-00146-4%3Bh%3Drepec%3Apal%3Arisman%3Av%3A26%3Ay%3A2024%3Ai%3A3%3Ad%3A10.1057_s41283-024-00146-4
- Identifier: RePEc:pal:risman:v:26:y:2024:i:3:d:10.1057_s41283-024-00146-4
- Released: 2024-05-15
- First featured: Quant Letter No. 49 (2024-05-15): https://www.ml-quant.com/issues/2024-05-15/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

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