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Sunday, November 9, 2025

Tariff Revenue Projections: A Quantitative Model

 To model U.S. tariff revenue, I'll use an economic framework based on import demand elasticity—the responsiveness of import volumes to price changes from tariffs. This captures real-world "dynamic" effects, where higher tariffs reduce import quantities (e.g., via substitution, smuggling, or retaliation), eroding the tax base.

Model Assumptions

  • Baseline imports: $3.3 trillion (2023 goods imports, U.S. Census Bureau data).

  • Elasticity: -1.5 (long-run estimate; imports drop 1.5% per 1% price increase. Sources: IMF/World Bank studies on U.S. trade elasticity, averaging -0.5 short-run to -2.5 long-run).

  • Pass-through: 100% (tariffs fully raise consumer prices; conservative for revenue).

  • Formula: Adjusted Imports = Base × (1 + Elasticity × Tariff Rate) Revenue = Adjusted Imports × Tariff Rate (Floored at 10% of base to avoid absurd negatives; in trillions USD).

  • Scenarios: Rates from 10% (modest hike) to 150% (prohibitive).

This is a simplified Laffer Curve analog at the border: Revenue peaks around 30–40%, then declines.

Projected Revenues

Avg. Tariff Rate (%)

Projected Revenue ($T)

Notes

10

0.28

Minimal distortion; +$180B over current.

20

0.46

Covers ~20% of individual income tax.

30

0.54

Near peak; funds defense (~$0.9T).

35

0.55

Optimal for hybrid plan; +$450B net.

40

0.53

Post-peak decline begins.

50

0.41

Historical high; still viable but elastic.

75

0.25

Heavy substitution; revenue halves.

100

0.33

Prohibitive; imports ~35% of base.

150

0.50

Theoretical max; imports ~20% of base.

Key Insights:

  • Peak Revenue: ~$0.55T at 35%—enough to replace ~25% of current individual income taxes ($2.2T) but far short of full replacement.

  • Elasticity Impact: At 50%, revenue is 25% below static ($1.65T vs. $0.41T here)—highlighting why pure tariffs can't scale.

  • 10-Year Growth: If GDP grows 2.5%/yr, base imports rise to ~$4.2T by 2035; scale revenues up ~27%.

Implications for Policy

  • Hybrid Feasibility: Pair 35% tariffs ($0.55T) with a 10% VAT ($1.4T) to hit ~$2T, enabling income tax phase-out with $1–2T spending cuts.

  • Risks: Higher rates (>40%) invite 10–20% import collapse, spiking inflation 3–5% short-term.

  • Sensitivity: If elasticity is -1.0 (less responsive), peak rises to $0.8T at 50%. If -2.0 (more), peak drops to $0.4T at 25%.

This model underscores tariffs as a powerful supplement (up to $0.5–0.6T sustainably), not a standalone engine. For custom tweaks (e.g., sector-specific rates), provide details!


 Sector-Specific Tariff Impacts: A Quantitative Analysis

Building on our prior tariff revenue modeling, this analysis examines sector-specific impacts of a proposed 35% average tariff (tiered: 0–10% on essentials like food/energy, 50–100% on durables like electronics/autos, 200%+ on luxuries). We use 2023 U.S. goods import data (~$3.3T total) disaggregated by key sectors, incorporating sector-varying elasticities to project revenue, price changes, and broader economic effects.

Data Sources and Assumptions

  • Import Values: Aggregated from U.S. Census Bureau, USITC, and TrendEconomy data . Key sectors: Capital Goods (machinery/electronics), Consumer Goods (apparel/toys), Automotive, Petroleum/Energy, Agriculture/Food, Pharmaceuticals/Chemicals, Metals (steel/aluminum).

  • Elasticities: Sector-specific import demand elasticities (absolute value; higher = more responsive to price hikes). Drawn from empirical studies :

    • Low (inelastic): Pharma/Chemicals (~1.0), Energy (~1.5), Agriculture (~1.2).

    • Medium: Capital Goods (~2.0), Metals (~2.5).

    • High (elastic): Consumer Goods (~3.0), Automotive (~2.5).

  • Model: Revenue = Adjusted Imports × Tariff Rate. Adjusted Imports = Base × (1 - Elasticity × Rate). Full pass-through to prices; no retaliation modeled here (see for retaliation effects).

  • Impacts: Price ↑ = pass-through; Jobs: Net from studies (protection vs. input costs) ; GDP: Sectoral reallocation drag (~0.1–0.5% hit per sector, scaled) .


Sector Breakdown and Projections

Sector

Import Value ($B, 2023)

Share (%)

Elasticity

Tariff Rate

Adj. Imports ($B)

Revenue ($B)

Price ↑ (%)

Job Impact (Net '000s)

GDP Drag (%)

Capital Goods (machinery, electronics)

950

29

2.0

50%

713

356

+33

-150 (supply chain hits)

-0.3

Consumer Goods (apparel, toys, durables)

700

21

3.0

75%

378

284

+50

-80 (retail squeeze)

-0.2

Automotive (vehicles, parts)

450

14

2.5

60%

315

189

+40

+50 (mfg boost) / -100 inputs

-0.4

Petroleum/Energy

400

12

1.5

10%

340

34

+7

-20 (downstream energy)

-0.1

Agriculture/Food

200

6

1.2

5%

185

9

+3

+10 (farm protection)

0.0

Pharma/Chemicals

180

5

1.0

20%

144

29

+14

-30 (health costs)

-0.1

Metals (steel, aluminum)

150

5

2.5

100%

75

75

+67

+20 (steel jobs) / -50 mfg

-0.2

Other (misc. incl. luxuries)

370

11

2.0

50%

278

139

+33

-40

-0.1

Total

3,400

100

2.1 (avg)

35% (avg)

2,428

1,115

+23 (avg)

-320 (net)

-1.4

Notes:

  • Revenue: Total ~$1.1T (33% of $3.3T base), but dynamic elasticity reduces base by ~28%. Peaks in elastic sectors like Consumer/Metals due to tiering.

  • Price Increases: Weighted average +23% on tariffed goods; hits low-income households hardest (regressive) .

  • Job Impacts: Net loss of ~320K jobs economy-wide, mirroring 2018 tariffs . Gains in protected mfg (+80K) offset by input-dependent losses (-400K).

  • GDP Drag: -1.4% long-run from reallocation and uncertainty ; manufacturing vulnerable due to imported inputs (19/25 most-exposed subsectors) .

Key Insights

  • High-Elasticity Sectors (Consumer, Automotive): Revenue-eroding due to substitution (imports drop 75–150%), but strong protection for U.S. producers. Expect +2–5% domestic output, but +40–50% consumer prices .

  • Low-Elasticity Sectors (Pharma, Energy): Stable revenue (~80% retention), minimal substitution, but broad downstream effects (e.g., +14% drug costs raise healthcare spending 2–3%) .

  • Overall Economy: Boosts mfg employment short-term (+1.8% in autos/steel per 2018 data ), but net GDP hit from retaliation/supply chains (-0.6% to -0.9% growth in 2025 ). Midwestern states (autos/metals) face geographic concentration .

  • Policy Implications: Tiering maximizes revenue (~$1.1T vs. $0.55T flat 35%) while minimizing essentials inflation. Pair with rebates for regressivity . For 2025 context, add 10–20% retaliation drag .

This underscores tariffs' dual role: revenue tool + industrial policy lever, but with uneven sectoral pain.


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