Home / Statistics and data
Empirical resources

Statistics and data resources

The lab's empirical work depends on administrative records, household surveys, macroeconomic aggregates, and official reference databases relevant to Australian fiscal policy.

Data strategy

Empirical inputs for quantitative public finance

The goal of this page is to clarify the evidence base behind the lab's modelling and empirical analysis.

Research in macro public finance depends on combining detailed household-level information with broader macroeconomic and institutional data. The lab uses these sources to discipline structural models, document heterogeneity, and evaluate policy counterfactuals.

Some sources are public and easy to access, while others involve formal data arrangements through the relevant institutions. This page therefore functions as a data map rather than a repository.

Administrative records

Used to study earnings, taxes, transfer interactions, and long-run distributional patterns.

Household surveys

Used to capture demographic, labour-market, and lifecycle variation not visible in aggregate statistics alone.

Official macro data

Used for calibration, benchmarking, and the interpretation of fiscal aggregates and broader economic trends.

Public statistics archive

Statistics from ATO tax records

Growth

Uneven growth across groups over time

Published figure result: higher growth at the bottom and top of the distribution, with stagnation in the middle.

Growth incidence figure from the MPF Lab statistics page
Inequality

Rising trend in income inequality

Published figure result: the Gini rises over time, and the P90/P50 ratio shows a widening gap between the top and the middle.

Gini figure from the MPF Lab statistics page
Redistribution

More progressive tax and slightly smaller transfers

Published figure result: the personal income tax system becomes more redistributive, while the redistributive index for transfers declines slightly over the period.

Tax redistributive effect figure from the MPF Lab statistics page
Transfer design

Means-tested transfers remain highly progressive

Published figure result: the transfer system is very progressive, but the average size of transfers declines slightly over the sample period.

Transfer progressivity figure from the MPF Lab statistics page
Key datasets

Core data sources used in the research program

These are the main empirical inputs named in the current site materials.

Administrative data

ATO tax records

Longitudinal administrative information on earnings, taxes paid, and related variables used to study distributional dynamics and fiscal design.

Household panel

HILDA Survey

The Household, Income and Labour Dynamics in Australia survey provides rich longitudinal information on labour, demographics, and household behaviour.

Macro aggregates

ABS national accounts

Australian Bureau of Statistics data are used for macroeconomic calibration, benchmarking, and the interpretation of aggregate fiscal outcomes.

Health data

Medicare and PBS records

Health expenditure and claims information supports the lab's work on insurance design, medical spending, and health-related inequality.

Retirement data

ASFA superannuation statistics

These sources help inform work on retirement savings, superannuation balances, and pension-system analysis.

International reference

OECD tax database

Comparative international statistics support cross-country benchmarking and broader discussion of fiscal-system design.

Empirical domains

The kinds of statistics the lab works with

Rather than freezing potentially dated point estimates into the page, this section highlights the empirical dimensions central to the lab's work.

Fiscal system

Taxes, transfers, and effective marginal rates

The lab studies how statutory policy interacts with withdrawal rules and household circumstances to shape incentives and redistribution.

Retirement system

Pensions, superannuation, and ageing

Research tracks retirement savings, pension design, and the long-run fiscal implications of population ageing.

Distribution

Earnings, wealth, and inequality

Distributional outcomes are studied across the lifecycle, across families, and across generations using microdata and structural models.

Health and insurance

Health spending and economic security

The lab also examines the relation between health shocks, insurance design, savings behaviour, and wealth inequality.

Need a more detailed data inventory?

The redesigned page now gives a cleaner overview of empirical sources. If you want, the next step can be a more technical data catalogue organised by project or research theme.