Working paper Tier C Pandemic / Cultural / Methods-Applied

Who Do We Turn To?

Culture, Trust, and Financial Advice-Seeking in Aotearoa

Balloch + Fin-Ed team

Who Do We Turn To?

Abstract

New Zealand households turn to remarkably different advisors when they make financial decisions, and the patterns map onto cultural ancestry in ways that financial-literacy and demographic models alone do not adequately explain. Pacific and Asian respondents in the NZ Fin-Ed Centre survey report relying on family members and community members for routine money-management decisions at roughly twice the rate of Pākehā respondents, and the gap survives education, income, and language-proficiency controls.

The behavioural-finance literature has long treated advice-seeking as a financial-capability behaviour shaped by information and access constraints; the cross-cultural psychology literature has independently argued that the disposition is rooted in **cultural orientation** along the collectivism–individualism continuum. This paper combines the two literatures and frames the question as a cultural advice-seeking map: who seeks help, who is trusted, which channels are used, and where capability support may fail to reach people. Collectivist cultural orientation privileges in-group trust: family and community advisors carry a high trust premium that may offset the information premium of formal sources. Individualist cultural orientation inverts this.

The empirical setting is the NZ Fin-Ed Centre ethnicity-segmented survey, supplemented by RBNZ household-finance indicators and Stats NZ ethnic-composition data. The existing March 2026 working draft applies descriptive segmentation and a Power BI / WhiteMode reporting framework that has already surfaced the headline advice-source gap.

We propose extending the existing analysis with three complementary ML layers: BERTopic latent-topic modelling of the open-text 'where do you turn for financial advice' responses to recover the data-driven advice-source typology; latent-class analysis of the multi-item advice-seeking battery to identify typological advice-seeking profiles that the standard categorical approach suppresses; and a Causal Forest decomposition of the ethnicity-gap to recover the conditional effect of ethnicity on advice-source choice after partialling out demographic and capability controls. The proposed extensions, once implemented, would supply culturally-segmented targets for NZ financial-capability programme design and identify which informal-advice channels need formal-system bridging support.

Data & Methods

Data Source
NZ Fin-Ed Centre ethnicity-segmented survey + RBNZ household-finance indicators + Stats NZ ethnic-composition data
Methods (existing)
Descriptive segmentation; Power BI / WhiteMode reporting; March 2026 working draft
Proposed extensions
BERTopic latent-topic modelling of open-text advice-source responses; latent-class analysis of advice-seeking profiles; Causal Forest decomposition of the ethnicity-gap (planned extensions; not yet implemented)
Primary target
Journal of Consumer Affairs (fallback: Journal of Family and Economic Issues, Journal of Cross-Cultural Psychology)
ResearchGate (forthcoming) Discuss this paper