Beyond Hours: Hidden Profiles of Underemployment in Australia

Underemployment in Australia represents a critical facet of precarious work, shaped not only by insufficient hours and skill underutilisation but also by care responsibilities and financial insecurity. Using data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey, this study employed latent class analysis (LCA), a person-centred, model-based clustering method, to uncover hidden subgroups within the underemployed population. Previous studies identify different profiles, but few embed care burden and financial stress as core latent dimensions. This study extends latent class approaches by integrating multidimensional vulnerabilities into subgroup analysis. The LCA analysis revealed four distinct classes. These findings confirmed three hypotheses: (H1) Care burden is a core latent dimension of underemployment (Classes 1 and 2), (H2) economic insecurity is a second defining dimension (Class 3), and (H3) a mental health/social isolation subgroup exists (Class 4). Class 1 exhibits dual care burdens and high representation from culturally and linguistically diverse (CALD) backgrounds. Class 2, Parents with Children, forms the largest group and is defined by intensive childrearing and caregiving roles. Class 3, Financially Strained Undereducated, includes individuals with low educational attainment experiencing pronounced financial hardship. Class 4, Socially Isolated with Poor Mental Health, represents the smallest yet most disadvantaged group, characterised by severe psychological distress, lack of social support, and acute financial vulnerability. Together, these findings highlight the need for tailored policy responses for diverse experiences among the underemployed and reveal intersecting social and economic disadvantages.

Authors

Institutions

Publication Details

Journal
Social Sciences
Published
2025-10-13
DOI
https://doi.org/10.3390/socsci14100603
Primary Topic
Employment and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond Hours: Hidden Profiles of Underemployment in Australia

Sora Lee, Woojin Kang
Social Sciences
Employment and Welfare Studies
article

Beyond Hours: Hidden Profiles of Underemployment in Australia

Sora Lee, Woojin Kang
article en

Abstract

Underemployment in Australia represents a critical facet of precarious work, shaped not only by insufficient hours and skill underutilisation but also by care responsibilities and financial insecurity. Using data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey, this study employed latent class analysis (LCA), a person-centred, model-based clustering method, to uncover hidden subgroups within the underemployed population. Previous studies identify different profiles, but few embed care burden and financial stress as core latent dimensions. This study extends latent class approaches by integrating multidimensional vulnerabilities into subgroup analysis. The LCA analysis revealed four distinct classes. These findings confirmed three hypotheses: (H1) Care burden is a core latent dimension of underemployment (Classes 1 and 2), (H2) economic insecurity is a second defining dimension (Class 3), and (H3) a mental health/social isolation subgroup exists (Class 4). Class 1 exhibits dual care burdens and high representation from culturally and linguistically diverse (CALD) backgrounds. Class 2, Parents with Children, forms the largest group and is defined by intensive childrearing and caregiving roles. Class 3, Financially Strained Undereducated, includes individuals with low educational attainment experiencing pronounced financial hardship. Class 4, Socially Isolated with Poor Mental Health, represents the smallest yet most disadvantaged group, characterised by severe psychological distress, lack of social support, and acute financial vulnerability. Together, these findings highlight the need for tailored policy responses for diverse experiences among the underemployed and reveal intersecting social and economic disadvantages.

Social SciencesVol. 14(10)
Hanbat National University (KR), La Trobe University (AU)
Openalex Percentile: Top 54%
Employment and Welfare 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.