Post-AGI Australia Model — Constants and Sliders Reference (Draft 12.0)

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.


Part 1: Hardcoded Constants

A. Macro-economic baseline (2030 starting state)

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.

B. Productivity-event mechanics (calcModel core)

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.

C. Government finance baseline

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.

D. Investment fund (replaces superannuation)

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).

E. Industry-level inputs (INDUSTRIES array, 18 industries)

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.

F. Wage distribution (WAGE_GROUPS, recalibrated v11.6 to ATO 2018-19 data)

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.

G. Government category amenability (govtCats)

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).

H. Other-revenue decomposition (OTHER_REV_ITEMS, 14 categories)

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.

I. Transition curve (agiCurve)

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.

J. Population drift parameters (transition loop)

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.

K. Income uplift factor

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.

L. Household types (HH_TYPES and _HH, 24 main + 4 renter variants)

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

M. Quintile-weighted household consumption basket

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

N. Quintile spending rates (spendRate function)

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.

O. Personal income tax — 2026 baseline (calcTax2026, tax2026Approx)

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.

P. Input-Output model (IO_MODEL18)

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.

Q. Post-hoc adjustment magic numbers

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.

R. Personal Scenario Calculator defaults (ps state)

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


Part 2: Sliders

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.

A. Income floor (Guaranteed Daily Income)

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.

B. Tax / consumption parameters

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.

C. Productivity & macro

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.

D. Tax arbitrage (§9.56)

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.

E. Asymmetric feedbacks (§9.57, §9.58)

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.

F. Behavioural elasticities

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.

G. Personal income tax brackets

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).


Summary count

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.