Projects

Explore HILDA Survey research projects from the Melbourne Institute, examining economic and social issues including inequality, poverty, employment and wellbeing in Australia.

Graduate Education, Talent Mobility and Innovation in Latin America: The Colfuturo Research Collaboration

In partnership with Colfuturo, we examine the returns to graduate education investments, career trajectories of developing-country talent, and pathways to building domestic innovation capacity.
Australia’s First Comprehensive Multidimensional Poverty Index

To address multiple dimensions of poverty and disadvantage, the Melbourne Institute has constructed a comprehensive index using HILDA Survey data. The index was constructed using the Alkire-Foster method, adapted to Australian data and institutional context.
Inequality and intergenerational mobility: measuring what matters and why

Equality of opportunity is a key principle of our society. This project aims to provide a clear contemporary picture of Australian economic inequality and intergenerational mobility, and their drivers.
Economic Uncertainty and Child Well-being: The Developmental Consequences of Anticipated Income Insecurity

Economic disadvantage on children conflates actual income loss with anticipated income loss. Disentangling this requires a unique research design, which will inform cost-benefit and welfare-to-work policies.
Working from home and worker well-being

The prevalence of working from home has increased considerably and is likely to stay. This project will support employers and policy makers in developing strategies to enhance the well-being of the increasing number of people working from home.
Representativeness of the HILDA Survey sample

Given the HILDA Survey’s broad applicability, it is important to systematically review its representativeness. We demonstrate how differences may change over the life of the panel and how refreshment samples help correct particular biases.
Social Exclusion Monitor

Given the HILDA Survey’s broad applicability, it is important to systematically review its representativeness. We demonstrate how differences may change over the life of the panel and how refreshment samples help correct particular biases.