E0092: Demand Shock Transmission Framework

Quality / Updated / COI

Quality

Reviewed

Updated

02/14/2026

Source

Citations & Trust

COI

none

TL;DR

Demand Shock Transmission Framework frames mapping demand shock effects on output and prices across sectors with sector output gap, price elasticity, and inventory drawdown rate and clarifies the tension of speed of adjustment versus price stability. It keeps inputs auditable and yields a reusable decision log.

Applicability

Use it for mapping demand shock effects on output and prices across sectors where consumer spending data, sector capacity, and policy response are inconsistent across teams. It fits decisions needing shared metrics, auditability, and explicit criteria, especially when changing course is expensive.

Steps

1. Clarify scope and horizon, then lock success metrics (sector output gap, price elasticity, and inventory drawdown rate) and data definitions so teams compare the same baseline.
2. Assemble inputs (consumer spending data, sector capacity, and policy response) and normalize timing, units, and ownership to remove inconsistencies before analysis.
3. Model scenarios to test how the balance of speed of adjustment versus price stability shifts; record thresholds that would change the recommendation.
4. Choose a preferred path, document decision criteria, and list required approvals or constraints before execution.
5. Set monitoring cadence, owners, and revisit triggers so the decision log can be updated as evidence changes.

Template

Template: Background and objective; Scope and time horizon; Success metrics (sector output gap, price elasticity, and inventory drawdown rate); Key assumptions (consumer spending data, sector capacity, and policy response); Options A/B/C; Scenario ranges; Trade-off summary (speed of adjustment versus price stability); Risks and mitigations; Decision criteria; Recommendation; Owner and timeline; Review triggers. Add data sources, confidence notes, and variables that would change the conclusion.

Pitfalls

• Defining sector output gap, price elasticity, and inventory drawdown rate differently across teams creates false comparisons and undermines trust.
• Overweighting one side of speed of adjustment versus price stability can reopen the decision when priorities shift.
• Leaving consumer spending data, sector capacity, and policy response unverified increases the chance of audit challenges or reversal.

Case

Case: During mapping demand shock effects on output and prices across sectors, leaders mapped sector output gap, price elasticity, and inventory drawdown rate and compared consumer spending data, sector capacity, and policy response. The team used sector capacity constraints to prioritize stabilization measures. The team documented how speed of adjustment versus price stability shaped the final call and added review dates to avoid repeating the debate.

Citations & Trust

• CORE Econ