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This vignette walks through the four panel-ready transformations that take raw ATO fetches to a defensible longitudinal analysis:
year = vector input.ato_harmonise().ato_reconcile().ato_deflate()
and ato_per_capita().Column names drift: total_income in some years,
total_income_or_loss in others; state vs
state_territory. ato_harmonise() renames
columns to canonical names from ATO_COL_VARIANTS.
Before reporting a panel sum in a paper, check it against the Final Budget Outcome. A 1-3 per cent accrual-vs-cash gap is expected; larger gaps warrant investigation.
ATO values are nominal AUD of the reporting year. For time-series comparison, deflate to a common base year using the bundled ABS CPI series.
panel_annual$per_capita <- ato_per_capita(
panel_annual$real_2022_23,
year = panel_annual$year
)
panel_annualThe resulting four-column data frame (year, nominal, real, per capita) is the canonical shape for distributional and time-series tax papers.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.