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

Jose de Jesus Rocha Salazar; María del Carmen Boado-Penas

doi:10.26360/2019_6

Autores/as

Jose de Jesus Rocha Salazar University of Liverpool (United Kingdom)
María del Carmen Boado-Penas University of Liverpool (United Kingdom)

DOI:

https://doi.org/10.26360/2019_6

Palabras clave:

compañía de seguros, aprendizaje automático, retiro temprano, aprendizaje supervisado

Resumen

Las técnicas de inteligencia artificial se han vuelto muy populares en las organizaciones públicas y privadas debido a que permiten un proceso de toma de decisiones más preciso. Las compañías de seguros privadas se han aventurado en este campo mediante la implementación de algoritmos que permiten una mejor comprensión de los datos disponibles. El conocimiento de las decisiones de jubilación permite a las compañías de seguros detectar el retiro temprano en un momento dado para tener una provisión presupuestaria adecuada. En este documento, los algoritmos de aprendizaje automático y datos de planes de pensiones privados se utilizan para predecir si una persona se jubila antes o después de los 65 años en función de características individuales y factores macroeconómicos.

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Citas

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