Scoring and prediction of early retirement using machine learning techniques: application to private pension plans

Rocha Salazar, Jose de Jesús, Rocha Salazar, Jose de Jesus and Boado-Penas, María del Carmen (2019) Scoring and prediction of early retirement using machine learning techniques: application to private pension plans. Anales del Instituto de Actuarios Españoles, 25 (25). pp. 119-145.

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Official URL: http://dx.doi.org/10.26360/2019_6

Abstract

<jats:p>Artificial intelligence techniques have become very popular in public and private organizations since they allow a more accurate decision-making process. Private insurance companies have ventured into this field by implementing algorithms that allow a better understanding of available data. The knowledge of retirement decisions allows the insurance companies to detect early retirement at a given time so that they have the adequate budgetary provision in place. In this paper, machine learning algorithms and data from private pension plans are used to predict whether a person retires before or after 65 years old in function of both individual characteristics and macroeconomic factors.</jats:p>

Item Type:	Article
Uncontrolled Keywords:	Basic Behavioral and Social Science, Behavioral and Social Science, Aging
Depositing User:	Symplectic Admin
Date Deposited:	21 Feb 2020 11:48
Last Modified:	17 Mar 2024 07:28
DOI:	10.26360/2019_6
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3074450