Using machine learning to uncover the relation between age and life satisfaction

This study applies a machine learning (ML) approach to around 400,000 observations from the German Socio-Economic Panel to assess the relation between life satisfaction and age. We show that with our ML-based approach it is possible to isolate the effect of age on life satisfaction across the lifecy...

Descripción completa

Detalles Bibliográficos
Autores principales: Kaiser, Micha, Otterbach, Steffen, Sousa-Poza, Alfonso
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960822/
https://www.ncbi.nlm.nih.gov/pubmed/35347178
http://dx.doi.org/10.1038/s41598-022-09018-x
_version_ 1784677462584590336
author Kaiser, Micha
Otterbach, Steffen
Sousa-Poza, Alfonso
author_facet Kaiser, Micha
Otterbach, Steffen
Sousa-Poza, Alfonso
author_sort Kaiser, Micha
collection PubMed
description This study applies a machine learning (ML) approach to around 400,000 observations from the German Socio-Economic Panel to assess the relation between life satisfaction and age. We show that with our ML-based approach it is possible to isolate the effect of age on life satisfaction across the lifecycle without explicitly parameterizing the complex relationship between age and other covariates—this complex relation is taken into account by a feedforward neural network. Our results show a clear U-shape relation between age and life satisfaction across the lifespan, with a minimum at around 50 years of age.
format Online
Article
Text
id pubmed-8960822
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-89608222022-03-30 Using machine learning to uncover the relation between age and life satisfaction Kaiser, Micha Otterbach, Steffen Sousa-Poza, Alfonso Sci Rep Article This study applies a machine learning (ML) approach to around 400,000 observations from the German Socio-Economic Panel to assess the relation between life satisfaction and age. We show that with our ML-based approach it is possible to isolate the effect of age on life satisfaction across the lifecycle without explicitly parameterizing the complex relationship between age and other covariates—this complex relation is taken into account by a feedforward neural network. Our results show a clear U-shape relation between age and life satisfaction across the lifespan, with a minimum at around 50 years of age. Nature Publishing Group UK 2022-03-28 /pmc/articles/PMC8960822/ /pubmed/35347178 http://dx.doi.org/10.1038/s41598-022-09018-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kaiser, Micha
Otterbach, Steffen
Sousa-Poza, Alfonso
Using machine learning to uncover the relation between age and life satisfaction
title Using machine learning to uncover the relation between age and life satisfaction
title_full Using machine learning to uncover the relation between age and life satisfaction
title_fullStr Using machine learning to uncover the relation between age and life satisfaction
title_full_unstemmed Using machine learning to uncover the relation between age and life satisfaction
title_short Using machine learning to uncover the relation between age and life satisfaction
title_sort using machine learning to uncover the relation between age and life satisfaction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960822/
https://www.ncbi.nlm.nih.gov/pubmed/35347178
http://dx.doi.org/10.1038/s41598-022-09018-x
work_keys_str_mv AT kaisermicha usingmachinelearningtouncovertherelationbetweenageandlifesatisfaction
AT otterbachsteffen usingmachinelearningtouncovertherelationbetweenageandlifesatisfaction
AT sousapozaalfonso usingmachinelearningtouncovertherelationbetweenageandlifesatisfaction

Ejemplares similares