Intergenerational financial literacy transmission: Sources of bias using national survey data

Abstract Social scientists are often interested in evaluating evidence of intergenerational or intra-family transmission of skills, knowledge, attitudes, values and behaviours. Nationally representative household surveys often contain information about both children and their parents over time, hence they are valuable for evaluating sources of variation and commonalities within and across family clusters. Analyses of these data introduce choices regarding how family dyads and clusters are defined. We examine consequences of different approaches to research design, in the context of financial literacy. Using data from the Household, Income and Labour Dynamics in Australia (HILDA) survey, we show that decisions regarding the definition of parent-child clusters can have unintended and important consequences for sample composition, and thereby for how we evaluate sources of commonality and differences in financial literacy; with important consequences for how we understand intergenerational transmission.

Institutions

Publication Details

Journal
Review of Economics of the Household
Published
2026-03-24
DOI
https://doi.org/10.1007/s11150-026-09842-4
Primary Topic
Intergenerational and Educational Inequality Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intergenerational financial literacy transmission: Sources of bias using national survey data

Review of Economics of the Household
Intergenerational and Educational Inequality Studies
article

Intergenerational financial literacy transmission: Sources of bias using national survey data

article en

Abstract

Abstract Social scientists are often interested in evaluating evidence of intergenerational or intra-family transmission of skills, knowledge, attitudes, values and behaviours. Nationally representative household surveys often contain information about both children and their parents over time, hence they are valuable for evaluating sources of variation and commonalities within and across family clusters. Analyses of these data introduce choices regarding how family dyads and clusters are defined. We examine consequences of different approaches to research design, in the context of financial literacy. Using data from the Household, Income and Labour Dynamics in Australia (HILDA) survey, we show that decisions regarding the definition of parent-child clusters can have unintended and important consequences for sample composition, and thereby for how we evaluate sources of commonality and differences in financial literacy; with important consequences for how we understand intergenerational transmission.

Review of Economics of the Household
The University of Western Australia (AU)
Quality Education
Openalex Percentile: Top 14%
Intergenerational and Educational Inequality Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.