Inequality of Opportunity in Body Mass: Evidence From Australia

This paper extends current knowledge about inequality of opportunity in body mass in Australia. Drawing on 2013 and 2017 Household, Income, and Labour Dynamics in Australia survey data, our empirical strategy comprises of mean-based and unconditional quantile regression techniques. We find that inequality of opportunity accounts for a non-trivial share of body mass inequality. Our results based on waist-to-height ratio reveal estimates of 10%-14%, which are much larger than previously published estimates based on body mass index (BMI). Our estimates are lower-bound values based on 13 observable circumstance variables. Relaxing the homogeneity assumption, for instance, increases estimates by 1.7-3 percentage points. Applying the Shapley-Shorrocks decomposition procedure, age and parents' socio-economic status are identified as leading circumstance factors. This finding is refined when quantiles of the body mass distribution are evaluated. Age's role is diminished at the clinically risky upper quantiles. By contrast, parents' socio-economic status is the single most important circumstance factor at the upper quantiles. Investigating by gender groups, inequality of opportunity is greater among women than men, with parents' socio-economic status playing a critical role in this disparity. Taking a life course perspective, circumstances' influence shows weakening over time, while effort is more impactful at later life stages. Overall, our findings underscore that anti-obesity campaigns should tackle early life social inequality, in addition to empowering personal responsibility later in life.

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Publication Details

Journal
Health Economics
Published
2025-04-12
DOI
https://doi.org/10.1002/hec.4966
Primary Topic
Income, Poverty, and Inequality
Type
article
Field-Weighted Citation Impact
0.00

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article

Inequality of Opportunity in Body Mass: Evidence From Australia

Anushiya Vijayasivajie, Pundarik Mukhopadhaya, Chris Heaton
Health Economics
Income, Poverty, and Inequality
article

Inequality of Opportunity in Body Mass: Evidence From Australia

Anushiya Vijayasivajie, Pundarik Mukhopadhaya, Chris Heaton
article en

Abstract

This paper extends current knowledge about inequality of opportunity in body mass in Australia. Drawing on 2013 and 2017 Household, Income, and Labour Dynamics in Australia survey data, our empirical strategy comprises of mean-based and unconditional quantile regression techniques. We find that inequality of opportunity accounts for a non-trivial share of body mass inequality. Our results based on waist-to-height ratio reveal estimates of 10%-14%, which are much larger than previously published estimates based on body mass index (BMI). Our estimates are lower-bound values based on 13 observable circumstance variables. Relaxing the homogeneity assumption, for instance, increases estimates by 1.7-3 percentage points. Applying the Shapley-Shorrocks decomposition procedure, age and parents' socio-economic status are identified as leading circumstance factors. This finding is refined when quantiles of the body mass distribution are evaluated. Age's role is diminished at the clinically risky upper quantiles. By contrast, parents' socio-economic status is the single most important circumstance factor at the upper quantiles. Investigating by gender groups, inequality of opportunity is greater among women than men, with parents' socio-economic status playing a critical role in this disparity. Taking a life course perspective, circumstances' influence shows weakening over time, while effort is more impactful at later life stages. Overall, our findings underscore that anti-obesity campaigns should tackle early life social inequality, in addition to empowering personal responsibility later in life.

Health EconomicsVol. 34(7)
Macquarie University (AU)
Australian Government, Department of Social Services, Australian Government, Macquarie University
Openalex Percentile: Top 90%
Income, Poverty, and Inequality
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Inequality of Opportunity in Body Mass: Evidence From Australia — Anushiya Vijayasivajie, Pundarik Mukhopadhaya, et al. · Health Economics (2025) | TGRS Research Map | TGRS