This document catalogues every numeric configuration value in the model, in two parts:
Values are identical between model-runner.js (Node.js verification harness) and agi-economic-model-v12_0.jsx (interactive React artefact); both source files use the same definitions.
Name | Value | Use & significance |
GDP | 3200 | Real GDP in 2030, $B (2026$). Anchor for all macro calcs. Sourced from Treasury MYEFO Dec 2025 trajectory (Australia ~$2.8T 2024 + ~3% p.a. growth → ~$3.2T 2030). All subsequent years compound from here via realGrowth + agiProdBonus × af. |
POP_A | 23.4 | Adult population in 2030, millions. Per ABS projection series B (medium fertility, medium net migration). |
POP_C | 6.6 | Child population in 2030, millions. Same projection. Total 30.0M, growing to 31.5M by 2035. |
BASE_EMP | ≈13.45 | Total 2030 employment, derived from INDUSTRIES.reduce() over per-industry employment. Used as denominator for displacement %. Model total of 13.45M vs ABS actual ~14.3M; gap is informal/gig workers. |
WAGE_GROWTH_SHARE | 0.50 | Fraction of real GDP growth flowing to wages (rest → profits/super/other). 50% reflects the post-2000 wage share trend. Per RBA wages-and-productivity research; sensitivity not modelled but materially affects medium-run income tax. |
Name | Value | Use & significance |
PASSTHROUGH | 0.65 | Share of labour-cost saving that flows to consumer prices (deflation). Was 0.60 in v5.2; raised to 0.65 in v6+. Calibrated against historical productivity-event evidence (telecoms 1995-2010, retail logistics 2000-2015) where ~60-70% of cost saving became price reduction in competitive markets. Key parameter — directly determines AGI's deflationary impact on prices and PP. |
PROFIT_SHARE | 0.20 | Share of labour-cost saving captured as additional corporate profit (taxed at compRate). Was 0.15 in v5.2; raised to 0.20 in v6+. Counterpart to PASSTHROUGH. Together (65% + 20% + 15%) accounts for 100% of labour cost saving. |
AI_IMPORT_SHARE | 0.15 | Share of labour-cost saving paid to overseas AI-service providers (mostly US compute/model providers). Reduces domestic-economy benefit. New in Draft 6.0. Important for revenue calcs — that 15% leaves the domestic tax base entirely. Sensitive to AGI-supplier nationality assumptions. |
EMPLOYER_SUPER_RATE | 0.115 | 11.5% Australian Superannuation Guarantee. Used to compute employer's super contribution savings when displaced workers exit. Will rise to 12% in 2025-26 per legislation; current value reflects 2024-25 statutory rate. |
Name | Value | Use & significance |
EXISTING_DEBT | 2050 | Whole-of-government gross debt (Cwlth + State + Territory) at start of transition, $B. Per PBO 2025-26 NFO: national gross debt reaches 57.5% of GDP (~$1,905B) in 2028-29; projected forward to 2030 with continued borrowing ~$2,050B. Anchor for debt-to-GDP computation; all transition deficits accumulate against this. Uses gross not net to avoid double-counting asset returns that already appear in non-tax revenue. |
INTEREST_RATE | 0.04 | 4% blended cost of borrowing. Mid-range Treasury 10-yr bond yield 2020-2025. Applied uniformly to debt; doesn't track inflation or risk premia. |
DOMESTIC_DEBT_SHARE | 0.55 | 55% of debt held by private domestic investors (excluding intra-government). Per Treasury debt management statistics. Lower than the ~70% share of net debt because government financial assets are predominantly domestic. Affects how debt-servicing dollars circulate domestically vs leak overseas. |
ABOLISHED_TRANSFERS | 153 | $B/yr current transfers (welfare, pensions, family payments, JobSeeker) all abolished day 1 of GDI introduction. Per Treasury Budget 2024-25 transfer-payment categories that are entirely replaced by GDI. Major fiscal saving — but note GDI cost typically dwarfs this. |
transitionCosts | 25 | $B/yr fixed cost: retraining programs, social cohesion initiatives, communication campaigns. Applies for all 6 transition years. Loose calibration; could be 15-50 depending on programme scope. Modest sensitivity. Local constant inside calcModel. |
Name | Value | Use & significance |
SUPER_POOL | 6000 | $B former superannuation pool taken over by gov't-managed investment fund at 2030. Per APRA superannuation-industry stats Dec 2024 ($3.7T) + 5% p.a. growth → ~$6T 2030. Big number — fund returns and reinvestment are a major revenue line. |
FUND_RETURN_RATE | 0.05 | 5% real annual return on fund assets. Conservative vs historical balanced-fund returns (~7% nominal, ~4-5% real). Used for non-wage income tax base. |
FUND_SPEND_DRAWDOWN | 0.03 | 3% annual capital drawdown by retirees and pension drawdown. Reduces fund pool over time. Consistent with minimum drawdown rates under current Australian super regs (4-7% age-graded). |
BASE_NON_WAGE_INCOME | 160 | $B/yr from non-fund sources: small-business income ($90B), non-fund investment ($45B), domestic debt interest (~$25B). Per ABS National Accounts. Adds to fund income for the non-wage-income tax base. |
Fund reinvestment rate | 0.30 | 30% of after-tax fund returns reinvested back into the fund pool each year. Embedded in calcModel as fundReinvest = afterTaxFundReturns * 0.30. Drives pool dynamics: $6.0T → ~$5.3T over 6 years (vs $5.0T without reinvestment). |
Per-industry calibrated values. Each industry has 7 attributes:
Attribute | Range | Use & significance |
gdp | 1.0 - 10.0 | Industry's % of GDP. From ABS industry value-added stats. Sums to ~92% of total GDP (missing 8% = product taxes + imputed rent, correctly excluded). |
emp | 0.15 - 2.00 | Industry's employment level (M employees). From ABS labour-force-by-industry data. Sums to 13.45M total. |
labInt | 0.20 - 0.70 | Labour intensity — labour cost as % of industry value-added. Key driver of variable RST/GST rate via the wage-ratio formula. Education 0.70 (most labour-intensive); Mining 0.20 (most capital-intensive). |
maxAGI | 0.25 - 0.85 | Industry-specific upper bound on AGI displacement at full adoption. Speculative. IT/telecom 0.85 (most automatable), Construction 0.25 (least). Most uncertain inputs — small changes produce large revenue effects per §9 sensitivity discussion. |
exp | 0.00 - 0.85 | Export share of output. Mining 0.85 (mostly exported); Public admin 0.00 (purely domestic). Affects domestic-tax-base size. |
gov | 0.00 - 1.00 | Government final-consumption share. Public admin 1.00 (entirely government), Health care 0.70, Education 0.60; private services 0.05-0.15. |
ret | 0.00 - 0.95 | Retail/household-final share for variable RST/GST. Retail 0.95, Hospitality 0.80; Mining 0.00. Per §9.62: functions as broad-based VAT including currently-exempt categories (financial 40%, IT 35%). |
B2B share is implied as 1 - exp - gov - ret.
Group | Frac | Wage ($) | Days | Significance |
1 | 0.10 | 35,000 | 180 | PT, casual |
2 | 0.15 | 55,000 | 230 | Mid-PT or low FT |
3 | 0.25 | 80,000 | 250 | FT median area (ATO p50 ~$96K FT) |
4 | 0.20 | 105,000 | 250 | FT p60-p70 |
5 | 0.15 | 140,000 | 250 | FT p80 ~$141K |
6 | 0.10 | 175,000 | 250 | FT p90 ~$174K, just into top bracket |
7 | 0.04 | 250,000 | 250 | FT p95+ |
8 | 0.01 | 450,000 | 250 | FT p99+ |
Calibrated against ATO 2018-19 percentile data (Grattan 2022 cheat sheet). Average wage $105K preserved; top-bracket mass falls from v11.5's 20% to 15%; top-1% mass from 2% to 1%. Drives the §7.3 finding that top-bracket extension is fiscally near-zero.
Per §9.61. Calibrated assumption — material headline impact (~±$50B/yr at ±30% calibration uncertainty). Local constant inside calcModel.
Category | Base spend ($B) | agiAm | Spend × agiAm | Notes |
Healthcare | 250 | 0.20 | 50.0 | Patient care dominates; admin/diagnostics amenable |
Education | 130 | 0.40 | 52.0 | AI tutoring, content creation, admin |
Defence | 55 | 0.15 | 8.25 | Operations dominate; embedded AI not modelled |
Infrastructure | 80 | 0.10 | 8.0 | Construction-heavy; limited AI reach |
Public admin & safety | 180 | 0.35 | 63.0 | Information-processing-heavy |
Aged care (non-GDI) | 100 | 0.15 | 15.0 | Direct care dominates |
NDIS & disability svcs | 55 | 0.10 | 5.5 | Disability support |
Other govt services | 147 | 0.20 | 29.4 | Mixed |
Total | 997 | 0.234 (weighted avg) | 231 | Yields ~$162B/yr at 70% govtEffCap |
Two further govt-spend lines are appended at runtime: Interest on debt (computed) and Transition costs ($25B/yr).
Replaces the former hardcoded $305B with itemised categories from PBO Australia's Tax Mix 2022-23 (×1.08 for ~2024-25 levels). Payroll tax ($34B in 2022-23) is excluded — abolished under the new system. Each item carries:
Item | Base ($B) | agiEff | Cat | Notes |
Fuel excise | 18 | −0.70 | FE | Sharply down with EV uptake |
Tobacco excise | 7 | −0.20 | FE | Revised down from $15B reflecting illicit market collapse |
Alcohol excise | 6 | −0.05 | FE | Modest |
Customs duties | 16 | −0.15 | FE | Lower as imports rebalance to AGI-services |
Other fed indirect | 16 | −0.10 | FE | Aggregated remainder |
Stamp duties | 31 | −0.15 | SL | Slowing property turnover |
Land tax | 16 | +0.05 | SL | Corrected down from PBO actuals |
Gambling taxes | 10 | −0.10 | SL | Corrected up from PBO actuals |
Motor vehicle taxes | 15 | −0.40 | SL | Heavy decline with EV/autonomous |
Insurance levies | 9 | −0.05 | SL | Broken out from former "Other state/local" |
Municipal rates | 24 | +0.03 | SL | Broken out; rises slightly |
Other state/local taxes | 8 | −0.10 | SL | Residual |
Federal non-tax revenue | 65 | +0.10 | FN | Future Fund returns, GBE dividends, fees |
State/local non-tax | 55 | −0.15 | SN | Includes mining royalties |
Total (OTHER_REV_BASE) | ≈302 | Per OTHER_REV_ITEMS.reduce. Items scale with real GDP growth; AGI effects scale with adoption × sensitivity slider. |
const agiCurve = [0, 0.10, 0.30, 0.55, 0.80, 1.0];
Local constant inside the transition loop (not at file scope).
Year | af | Significance |
2030 | 0% | Pre-AGI baseline |
2031 | 10% | Early adoption, mostly piloting |
2032 | 30% | Acceleration |
2033 | 55% | Mid-transition (steepest year) |
2034 | 80% | Saturation approaching |
2035 | 100% | Full AGI penetration |
S-curve shape — slow start, rapid middle, asymptote. Calibrated against major-technology adoption curves (smartphones 2007-2015, ICT 1995-2002). Could be slower (e.g. 0/5/15/35/65/95) or faster (0/15/40/70/90/100); v12.0 retains the moderate 6-year baseline. A configurable timeline slider is in the queued next-steps list.
Constant | Value | Use & significance |
Population growth | +1.5M over 6 years | Linear growth from 30M to 31.5M (popTotal = (POP_A + POP_C) + 1.5 * frac). ABS series B baseline. |
Adult share start | 0.78 | Adults as fraction of total population in 2030. |
Adult share end | 0.795 | Adults as fraction in 2035 (0.78 + 0.015 * frac). Reflects ageing population. |
Name | Value | Use & significance |
IU | 1.04 | 4% income uplift to 2026 dollars from earlier-year HH_TYPES baseline. Applied to w1, w2, cw, invInc, si. Reflects ABS WPI growth from 2024 to 2026. Transfers (ct) and super pension (cs) left at nominal. |
20 ABS-derived household types (Draft ≤11.8) plus 4 ATO-calibrated high-income types (Draft 11.9 §9.64) plus 4 renter-sensitive variants (hhK=0; for distributional comparison). Each type carries ~14 attributes including household count (hhK, thousands), adult count (a), child count (c), wages (w1, w2), days worked (d1, d2), super income (si), investment income (invInc), combined wage (cw), current-system transfer (ct), super-pension (cs), AGI exposure (agiExp), renter percentage (renPct), and rent ($).
Draft 12.0 calibration update: child counts now use ABS Census 2021 averages (1.85 for couple+kids categories, 1.71 for lone-parent). HI types use 1.85 (CC equivalent) or 1.0 (per ATO data on the high-income segment). All wage figures are pre-IU; multiplied by 1.04 in the post-build map.
TOTAL_HHK: sum of hhK across non-RV types ≈ 10,480 (thousand HH = 10.48M households), within the ABS estimate of ~10.5M private households for 2026.
Category code | Types in v12.0 | Total HHK |
CC (Couple + children) | 4 | 2,970 |
CN (Couple, no children) | 5 | 2,540 |
LP (Lone parent) | 3 | 1,050 |
LS (Lone person / single) | 6 | 2,640 |
OT (Other) | 2 | 780 |
HI (High income, ATO-derived; Draft 11.9) | 4 | 500 |
RV (Renter variants, hhK=0; for comparison) | 4 | 0 |
The 4 HI types (Draft 11.9, calibrated to ATO Taxation Statistics 2022-23):
Type | hhK | Gross 2026$ | AGI exposure |
Couple+kids: senior prof | 200 | ~$295K | 0.55 |
Couple no kids: senior prof | 100 | ~$290K | 0.55 |
Specialist / senior partner | 150 | ~$405K | 0.45 |
Top exec / partner | 50 | ~$605K | 0.35 |
Per Draft 11.2 §9.42. Each household type's effective variable GST rate depends on its consumption mix across the 18 IO industries. ABS HES 2015-16 data shows quintile-level variation in spending shares; the model condenses this to 3 income bands (Low = Q1+Q2, Mid = Q3, High = Q4+Q5).
Constant | Shape | Source |
HH_BASKET_BY_QUINTILE | 3 × 18 array (3 bands × 18 industries; each row sums to 1.0) | ABS HES 2015-16 expenditure tilts mapped to 18 IO industries via hand-built mapping (see quintile_design.py). |
HH_QCONS_SHARE | [0.2316, 0.1855, 0.5829] | Share of total household consumption from each band. Derived from ABS SIH quintile income shares × spend rate, normalised. |
Income-to-band mapping (incomeBand function):
Band | Gross income range | Quintiles |
0 (Low) | < $75K | Q1 + Q2 |
1 (Mid) | $75K – $115K | Q3 |
2 (High) | ≥ $115K | Q4 + Q5 |
Used in both 2026 baseline and new-system calculations. Responds to income changes at runtime.
Quintile (by gross HH income) | Threshold | Spend rate |
Q1 | < $45K | 100% (capped; actually dissaves) |
Q2 | $45K – $75K | 92% |
Q3 | $75K – $115K | 85% |
Q4 | $115K – $170K | 78% |
Q5 | ≥ $170K | 67% |
Source: ABS HES 2015-16 expenditure as proportion of gross income.
Stage 3 brackets in force from 1 July 2024, with LITO and Medicare levy:
Threshold | Marginal rate |
$0 – $18,200 | 0% |
$18,201 – $45,000 | 16% |
$45,001 – $135,000 | 30% |
$135,001 – $190,000 | 37% |
$190,001+ | 45% |
Plus Medicare levy 2% on income above $26,000 (singles threshold; family thresholds not modelled). LITO $700 for income ≤ $45K, phasing out at 3.25c/$ to ~$66.5K.
Effective tax-free threshold ~$22,575 once LITO is included. Used to derive 2026 baseline disposable income for the equivalised-quintile sort and PP comparisons.
Used in GST mode to compute input credits. 18-sector aggregation of ABS IO Tables 2022-23 (114-sector source). Fields are all 18-element arrays:
Field | Meaning |
b2bShare[i][j] | Proportion of sector i's output purchased by sector j as intermediate input |
hhShare[i] | Proportion to household final consumption |
otherFinalShare[i] | Proportion to other final demand (gov + investment + exports) |
exportShare[i] | Proportion to exports specifically |
otherFinalNonExportShare[i] | Other final demand minus exports (gov + investment) |
b2bShareSum[i] | Row sum of b2bShare (total intermediate use share) |
vaShare[i] | Value-added share of gross output (converts GVA to gross output) |
The b2b matrix alone is 18 × 18 = 324 cells, plus 6 vector fields × 18 = 108 cells. About 432 calibrated values in this dataset, sourced from ABS aggregation.
These live inside applyInvestmentResponse, applyVoluntaryWithdrawal, applyTaxArbitrage. §9.60 fixed the most material former one (hardcoded GST rate); these remain as documented embedded calibrations.
Constant | Value | Used in | Significance |
Job density | 4.5 | applyInvestmentResponse | 4500 jobs per $B of investment activity, calibrated from Construction/Manufacturing/Professional services ABS data. Used to compute investEmp = totalInvest * 4.5 / 1000. |
Capital-goods profit margin | 0.12 | applyInvestmentResponse | 12% margin on capital-goods producers. Used for investCompTax. Mid-range industry-average for capital-goods manufacturing. |
Investment representative wage | $80,000 | applyInvestmentResponse | The "average" investment-driven worker. Calibrated to Construction/Manufacturing/Prof svcs blended median. |
Investment representative days | 250 | applyInvestmentResponse | Full-time work days for new investment workers. |
Voluntary-exit representative wage | $55,000 | applyVoluntaryWithdrawal | The "average" exiting worker — lower than investment because UBI evidence shows exits skew toward low-wage and secondary earners. |
Voluntary-exit representative days | 230 | applyVoluntaryWithdrawal | Mid PT/FT (vs 250 for investment which is FT-heavy). |
Spending rate of disposable income | 0.85 | both | 85% of disposable income spent (vs saved). Used for GST flow calcs. Matches v6 macro consShare 60 after derived calculations. |
Profit shift growth coefficient | 0.5 | applyTaxArbitrage Channel B | effProfitShift = profitShiftRate × (1 + 0.5 × af). At full adoption (af=1.0), profit shifting is 1.5× baseline. The 0.5 reflects "AGI makes IP/services moderately easier to misprice" — bounded growth. |
Initial state for the interactive PSC. Users can override any field; these defaults sketch a moderately-affluent couple+0-kids working scenario.
Field | Default | Meaning |
children | 0 | Children in household |
rent | 0 | Annual rent $ |
hasA2 | false | Whether household has a second adult |
a1w | 82,000 | Adult 1 annual wage |
a1nw | 3,000 | Adult 1 annual non-wage income |
a1s | 150,000 | Adult 1 super balance |
a1t | 0 | Adult 1 current-system transfer |
a1hr | 42 | Adult 1 hourly rate ($) |
a1h | [8,8,8,8,8,0,0] | Adult 1 hours by day-of-week |
a2w | 45,000 | Adult 2 annual wage |
a2nw | 1,000 | Adult 2 annual non-wage income |
a2s | 80,000 | Adult 2 super balance |
a2t | 0 | Adult 2 current-system transfer |
a2hr | 38 | Adult 2 hourly rate ($) |
a2h | [6,6,6,6,0,0,0] | Adult 2 hours by day-of-week |
All sliders are exposed in the JSX UI with the values below. Defaults are unchanged from v11.7 to v12.0 (" v12.0 defaults" align with " v11.7 defaults"). Every slider has an info icon tooltip in the JSX showing concise context.
Slider | Default | Min | Max | Step | Unit | Use & significance |
Adult GDI start | 80 | 0 | 250 | 5 | $/day in 2030 | Guaranteed Daily Income for adults at start of transition (2030). Replaces all welfare/pension/unemployment payments. Each adult receives this regardless of work status. |
Adult GDI end | 105 | 0 | 250 | 5 | $/day in 2035 | Adult GDI rate at end of transition. Linearly interpolated between start and end. Higher values increase fiscal burden but reduce inequality. |
Child GDI start | 20 | 0 | 200 | 5 | $/day in 2030 | Per-child GDI rate at start. Replaces all child-related transfers. Paid to parent/guardian. Lower than adult to reflect lower per-child expenditure needs. |
Child GDI end | 45 | 0 | 200 | 5 | $/day in 2035 | Per-child GDI rate at 2035. Family with 2 kids gets 2× this/day on top of adult GDI. |
Slider | Default | Min | Max | Step | Unit | Use & significance |
Base RST/GST | 12 | 10 | 25 | 1 | % | Fixed base GST rate, applied uniformly to all consumption. Stacks with the variable AGI levy. Higher rates raise revenue but are mildly regressive. |
Household consumption | 60 | 35 | 70 | 1 | % of GDP | Total household consumption as % of GDP (national-accounts basis). Higher values raise macro RST/GST collections. |
Company tax | 30 | 20 | 40 | 1 | % | Standard company tax rate on profits. Higher rates raise revenue but increase incentive for profit-shifting. Mid-OECD: ~24%. v12.0 default unchanged from 2026 to counter offshoring. |
Max AGI levy | 100 | 0 | 250 | 5 | % max var GST | Maximum variable GST rate on AGI-intensive industries. Bound by §9.47 break-even cap; above ~120% creates "make-work" distortion. 100-120% is the defensible range. |
Import leakage | 25 | 10 | 50 | 2 | % | Fraction of consumption leaking to imports rather than domestic GVA. Reduces the domestic tax base. Partly offset by §9.56 import levy collection. |
Slider | Default | Min | Max | Step | Unit | Use & significance |
Real GDP growth | 3 | 0 | 6 | 0.5 | % p.a. | Baseline growth from non-AGI sources. AGI productivity bonus added on top. Australian historical: 2-3% p.a. |
AGI productivity bonus | 2.0 | 0 | 5 | 0.1 | pp/yr | Additional GDP growth from AGI deployment, scales with adoption. ICT 1995-2002: ~1.5pp. Higher values (3-5pp) plausible if AGI drives major advances in materials science, robotics, or new algorithms. |
Investment response | 2.0 | 0 | 5 | 0.5 | % of GDP | Productivity-boom-driven capex. Generates direct jobs in Construction/Mfg/Prof svcs (~4500/$B GVA). ICT boom ~1.5pp; default 2pp moderate. Per §9.53. |
Slider | Default | Min | Max | Step | Unit | Use & significance |
Import levy collection | 80 | 0 | 100 | 5 | % | Fraction of variable GST successfully collected on AGI-intensive imports. Builds on the 2017 low-value-import GST regime. Higher values reduce the unprecedented-tax credibility risk. |
Import basket factor | 75 | 50 | 100 | 5 | % | Imports' relative AGI-intensity vs domestic mix. Imports skew toward goods (lower labour-intensity × maxAGI). 75% reflects 60% goods + 40% services in import composition. |
Profit shifting rate | 7 | 0 | 20 | 1 | % | Baseline % of company tax base lost to transfer pricing. Grows with AGI adoption (×(1+0.5×af)) since AGI/IP services are easier to misprice. ATO transfer-pricing audits suggest 5-10% currently. |
Slider | Default | Min | Max | Step | Unit | Use & significance |
Voluntary withdrawal | 3 | 0 | 8 | 0.5 | % | Fraction of employed workers exiting voluntarily when GDI provides an unconditional floor. UBI evidence (Finland, Stockton, Kenya): 2-5%. Negative fiscal direction. |
Foreign firm share | 30 | 0 | 50 | 5 | % | Share of variable GST base from foreign-owned firms (ABS: ~25-30% of corporate value). Skews higher in mining, finance, retail, tech. |
Foreign incidence to consumer | 40 | 0 | 100 | 10 | % | Fraction of variable GST on foreign firms passed through to AU consumers via prices. Fiscally neutral but distributionally regressive (consumer-borne). Per §9.59 redistributed across HH types via spend rate. |
Slider | Default | Min | Max | Step | Unit | Use & significance |
Other rev AGI sens | 50 | 0 | 100 | 5 | % | How sensitive non-major-tax revenue (excise, fees, royalties) is to AGI adoption. 0% = no AGI impact, 100% = full modelled adjustment per OTHER_REV_ITEMS agiEff values. |
Demand elasticity | 40 | 10 | 80 | 5 | % | How much consumption volume rises when AGI deflation lowers prices. Higher values mean more productivity benefit translates to consumption (vs savings). Empirical: ~30-50%. |
Levy demand elasticity | 50 | 0 | 100 | 5 | % | How much consumers substitute away from high-levy industries. Higher values reduce variable GST revenue but mean less production distortion. Per §9.42. |
Adoption price sensitivity | 60 | 0 | 100 | 5 | % | When the AGI levy makes a deployment uneconomic vs human labour (per §9.47 break-even), how strongly is adoption suppressed? Higher values preserve more human jobs but lose efficiency. |
Govt efficiency capture | 70 | 20 | 80 | 5 | % | How much of available AGI productivity gain government captures in service delivery. Higher values reduce govt expenditure but require political will. Combined with 23.4% weighted amenability → ~$162B/yr at peak. |
The v12.0 default tax structure — flatter than 2026 because GDI replaces some progressivity at the bottom.
Slider | Default | Min | Max | Step | Unit | Use & significance |
Tax-free threshold | 45 | 0 | 120 | 5 | $K | Income below this earns no tax. Higher values increase progressivity but cost revenue. v12.0 default $45K reflects the GDI-supplemented baseline. |
Bracket 2 ceiling | 90 | 30 | 200 | 5 | $K | Top end of bracket 2. Income from tax-free threshold to here is taxed at the bracket 2 rate. |
Bracket 2 rate | 30 | 0 | 50 | 1 | % | Marginal rate on bracket 2. Most middle-income earners' marginal rate. |
Bracket 3 ceiling | 120 | 60 | 300 | 5 | $K | Top end of bracket 3. Higher values reduce revenue from upper-middle earners. |
Bracket 3 rate | 35 | 0 | 50 | 1 | % | Marginal rate on bracket 3. Affects upper-middle earners (~p70-p85 by ATO data). |
Bracket 4 ceiling | 150 | 100 | 500 | 5 | $K | Top end of bracket 4. ATO data: ~5% of FT earners are above $150K. |
Bracket 4 rate | 40 | 0 | 60 | 1 | % | Marginal rate on bracket 4. Affects high earners (~p85-p95 by ATO data). |
Top rate | 45 | 0 | 70 | 1 | % | Marginal rate above bracket 4. Per §7.3, fiscal impact <$1B because few taxpayers above $150K. Mostly a political signal. |
The bracket ceilings have soft-clamping in the UI: each subsequent ceiling slider is constrained to be ≥ the previous one (so the user cannot create an inverted bracket order).
The v12.0 calibration surface is substantially broader than v11.7's, mainly due to the IO model and the expanded household taxonomy.
Bucket | Count |
Macro / baseline (A) | 5 |
Productivity mechanics (B) | 4 |
Govt finance (C) | 5 |
Fund (D) | 5 |
Industry attributes (E) | 18 × 7 = 126 |
Wage groups (F) | 8 × 3 = 24 |
Govt categories (G) | 8 × 2 = 16 |
Other-revenue items (H) | 14 × 3 = 42 |
Transition curve (I) | 6 |
Population drift (J) | 3 |
Income uplift (K) | 1 |
Household types (L) | 28 types × ~14 attrs ≈ 390 |
Quintile basket (M) | 3 × 18 + 3 + 3 thresholds ≈ 60 |
Spend rate thresholds (N) | 5 thresholds + 5 rates = 10 |
2026 tax brackets (O) | 5 brackets + 2% Medicare + LITO = ~7 |
IO model (P) | ≈ 432 |
Post-hoc magic numbers (Q) | 8 |
PSC defaults (R) | 16 |
Total | ≈ 1,160 |
Sliders: 4 income floor + 5 tax/consumption + 3 productivity + 3 tax arbitrage + 3 asymmetric + 5 elasticities + 8 personal-tax brackets = 31 numerical sliders (plus 4 boolean toggles for view options: useGST, showInd, showHH, showRevExp, showTax, showTrans — these don't affect macro outcomes).
The sliders are how a user explores; the constants are the calibration baseline. The v12.0 default result (+$25B endpoint, −$1,399B cumulative, 88% debt/GDP, Gini 0.222 → 0.176) is moderately sensitive to bucket C (govt finance), G (govt amenability), and parts of E (industry maxAGI). A coordinated 30% downward shift across the most-uncertain constants would push the result to roughly −$30B endpoint.