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Using machine learning to explore the efficacy of administrative variables in prediction of subjective-wellbeing outcomes in New Zealand

Abstract The growing acknowledgment of population wellbeing as a key indicator of societal prosperity has propelled governments worldwide to devise policies aimed at improving their citizens’ overall wellbeing. In New Zealand, the General Social Survey provides wellbeing metrics for a representative...

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Uloženo v:
Hlavní autoři: Anantha Narayanan, Tom Stewart, Scott Duncan, Gail Pacheco
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Portfolio 2025-02-01
Edice:Scientific Reports
Témata:
Subjective wellbeing
Machine learning
Predictive models
Administrative data
Census
On-line přístup:https://doi.org/10.1038/s41598-025-90852-0
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