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The Two-Economy Gauge

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The Two-Economy Gauge

Builds-on: how-inflation-dies-the-empty-reservoir, demand-side-audit-may-2026 Related: failure-cascade-index (matched pair — this doc watches the fuel, that one watches the failures), normalization-vs-destruction-test, cyclical-20-and-the-ai-capex-mask Informs: regime-check rotation

Purpose

Solve the two-pools measurement problem from how-inflation-dies-the-empty-reservoir: aggregate consumer statistics average two economies with opposite states — a drained bottom pool and an asset-fed top pool — so every aggregate series (retail sales, PCE, savings rate) is structurally biased toward "fine." This gauge reads each pool separately, plus the spread between them. It is the household-side twin of failure-cascade-index: same tiering principle, one stage earlier in the sequence (this watches the fuel draining, stages 1-3; that one watches the failures, stage 4).

The one-line operating rule: the aggregate breaks only when the top pool rolls. The bottom pool already broke without moving the aggregate. So the most important single line on this dashboard is top-cohort spending — and its upstream driver is asset prices, which makes this gauge the bridge between the consumer data and the "last full reservoir" (AI-equity complex) watch.

The leading/lagging trap

Timing tags below are relative to the aggregate demand break (the moment total consumption visibly rolls). The classic trap in consumer data: the scariest-looking series (delinquencies, defaults, bankruptcies) are the most lagging — they record damage from 6-18 months ago. Meanwhile the leading series (budget shares, elasticity, top-cohort flows) look boring. A reader who weights by scariness will always be late.

Components

Pool flows (the water lines)

# Series Source Freq Timing vs. aggregate break Reading (July 2026)
1 Two-economy spread: lower-income minus higher-income spending growth, per-household card data BofA Institute Consumer Checkpoint, monthly Monthly Coincident per pool; the top-cohort line is the leading edge of the aggregate break March: lower-income +1.1% YoY vs higher-income +2.9% — spread -1.8pts, K intact. June: partial convergence (lower-income after-tax wage growth rose above middle) — watch whether convergence is bottom healing or top rolling. Top-5% strength is transaction-size driven, a wealth-effect signature
2 Top-pool funding: equity drawdown × equity share of household assets S&P/breadth + Fed Z.1 (equities 47% of household financial assets) Weekly proxy Leading (the top pool's refill valve) Index at highs = valve open. The normalization-vs-destruction-test forced-selling gauges are the early warning on this valve
3 Fed Distributional Financial Accounts: wealth by percentile Fed DFA, quarterly, ~10-week lag Quarterly Lagging (slow, revised) — canonical pool-level confirmation, never recognition First-run task: baseline bottom-50% net worth ex-housing vs 2019
4 Consumption concentration: top-decile share of total consumption Moody's Analytics estimates (~50% as of 2025) Ad hoc Structural fragility meter, not a timing signal — the higher it goes, the more scenario B's transmission amplifies ~50%, a record. Each point up = the aggregate more hostage to the last reservoir

Bottom-pool state (how drained, how fast)

# Series Source Freq Timing Reading (July 2026)
5 Bottom-half basket CPI: reweight CPI to rent/food/energy/insurance shares of the bottom two quintiles (CEX weights), compare to their wage growth BLS CEX + CPI components, computable monthly Monthly Coincident for the bottom pool; leading for aggregate via the "already further along" thesis First-run computation. Prior: bottom-half real spending has been negative for several quarters — i.e., the bottom pool is at stage 4 while the aggregate reads stage 2-3
6 Credit-tier stack: card 90+ DPD, small-bank delinquency, subprime auto, BNPL NY Fed HHDC quarterly, Equifax monthly Quarterly Lagging — damage report, not warning. Useful for confirming pool depth, never for timing Cards 90+ at 13.1% (15-yr high); small-bank 6.43%; subprime auto ~6.2%; savings rate 4.0%
7 Survival-debt share: revolving balance growth in essentials categories BofA/Equifax categorizations Quarterly Coincident — the credit pump running on necessities is the last-pump signature $1.33T record balances, growth concentrated in groceries/utilities
7b The fiscal pump / Kalecki flow: federal deficit trajectory + transfer outlays (the deficit → consumption → corporate margins chain) Treasury monthly statement; CBO updates Monthly Leading for corporate margins, coincident for the bottom pool — the one pump that refills the reservoir and manufactures the profit margins; its throttling (gov payrolls -53K July) hits both ends Added 2026-08-12 via EPB/Kalecki addendum in how-inflation-dies-the-empty-reservoir

The demand-snap ladder (energy budget shares + kink detection)

The empty-reservoir doc's open question — where is the non-linear rationing threshold — is operationalized here, because the threshold is a household-budget phenomenon, not an oil-market one.

# Series Source Freq Timing Reading (July 2026)
8 Energy budget-share ladder by quintile: energy spend ÷ after-tax income, per quintile CEX shares × current EIA prices Monthly approximation Leading for the demand snap — Hamilton's threshold: energy above ~6% of consumer outlays historically precedes recessions (was ~8-9% in 1980) First-run computation at ~$90 WTI / current gas prices. The question is which quintile is at its 2008 share, not what the gas price is
9 Kink detection: weekly gasoline product-supplied vs price → rolling measured elasticity EIA weekly, 2-week lag Weekly Coincident with the snap; leading for the CPI rollover — in 2008 volumes went negative YoY ~3 months before the price peak Stand up the rolling regression on first run. Normal reading ~-0.05; the kink is a jump toward -0.2/-0.3
10 Micro trade-down tells: premium-to-regular gasoline mix, FHWA miles driven, dollar-store traffic EIA, FHWA TVT monthly, retailer comps Monthly Leading (snapped before aggregate demand in 2008) First-run baseline

The EV/electrification modifier (structural, one-directional). Rising EV share + heat-pump adoption raises long-run gasoline/gas demand elasticity: every substitution installed is a household with a permanent exit ramp, which means the kink arrives at lower prices each year. This is the benign form of demand destruction — post-1979 efficiency all over again, when US oil intensity per dollar of GDP fell permanently and consumption didn't regain its 1978 peak for over a decade. It doesn't change the ladder's month-to-month reading, but it lowers the snap threshold secularly, and it means each oil spike now accelerates its own demand destruction through EV adoption (gas prices 38% higher YoY are already visibly bidding up used EVs and compacts at Manheim). Track annually: EV share of fleet (not sales), heat-pump installed base.

Reading protocol

Monthly, light (components 1, 5, 9); quarterly, full stack, alongside failure-cascade-index:

  1. Report the two pools separately, then the spread. Never lead with an aggregate.
  2. State the bottom pool's stage (per the empty-reservoir sequence) and the top pool's funding condition (asset valve open/closing).
  3. The alarm configuration is specific: top-cohort spending decelerating two consecutive months + an asset-side forced-selling gauge widening (normalization-vs-destruction-test). That combination is the earliest observable form of "the last reservoir is draining," ahead of any labor print.

First-run tasks

Sources

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