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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Detaylı Bibliyografya
Asıl Yazarlar:	Anantha Narayanan, Tom Stewart, Scott Duncan, Gail Pacheco
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Nature Portfolio 2025-02-01
Seri Bilgileri:	Scientific Reports
Konular:	Subjective wellbeing Machine learning Predictive models Administrative data Census
Online Erişim:	https://doi.org/10.1038/s41598-025-90852-0
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

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