# Phillips Curve

> YogoQ Core AI-readable term handoff. Preview, read-only, Reviewed/Verified only.

- Canonical URL: https://core.yogoq.com/en-US/core/phillips-curve
- Locale: en-US
- Content tier: db_backed
- Quality: reviewed
- Publication status: published_reviewed
- Schema version: core-reviewed-term-ai-handoff-v2
- Compatible with: core-reviewed-term-ai-handoff-v1
- Content hash: e81f45f0ff04f2f7e8a9d9a5532f4d6ec721f795ed6709ce91efb228ba1a4f88
- Trust policy: core-trust-policy-v1-2026-06-22

## Short Definition

The Phillips Curve helps assess inflation-employment trade-offs by clarifying the relationship between inflation and unemployment and the trade-offs between price stability and employment goals. It keeps scope and assum…

## 一言でいうと

The Phillips Curve helps assess inflation-employment trade-offs by clarifying the relationship between inflation and unemployment and the trade-offs between price stability and employment goals. It keeps scope and assumptions aligned.

## 意味

The Phillips Curve describes the short-run relationship between inflation and unemployment, influenced by expectations and supply shocks. It specifies the unit of analysis and the assumptions behind that relationship, including inflation expectations and wage-setting behavior. The concept separates what is in scope (short-run trade-offs and expectation dynamics) from what is out of scope (long-run natural rate outcomes), so comparisons stay consistent. Applied well, it turns a vague debate into a measurable choice and makes the drivers of results explicit.

## 役立つ場面

Use the Phillips Curve to decide policy trade-offs, because it exposes inflation-unemployment dynamics and the trade-off with price stability versus employment goals. It changes budgeting and prioritization by making inflation expectations and wage dynamics explicit and reviewable. It informs adjustments when expectations de-anchor or supply shocks occur, so the decision stays grounded in current conditions.

- Use the Phillips Curve to decide policy trade-offs, because it exposes inflation-unemployment dynamics and the trade-off with price stability versus employment goals.
- It changes budgeting and prioritization by making inflation expectations and wage dynamics explicit and reviewable.
- It informs adjustments when expectations de-anchor or supply shocks occur, so the decision stays grounded in current conditions.

## 使い方のポイント

- Define the unit and time horizon before comparing inflation-unemployment dynamics across options.
- Track the primary driver (inflation expectations) separately from secondary noise.
- Run sensitivity checks on shock persistence and wage responses to avoid false precision.
- Document data sources and calculation steps so results are auditable.
- Revisit the model when the business model or market context changes.

## よくある誤解 / 落とし穴

- The Phillips Curve is not stable over time; it can shift.
- It does not imply a permanent trade-off in the long run.
- Supply shocks can break the expected relationship.

## 最小例

A central bank models inflation at 3% with unemployment at 4.5% and compares a slow tightening path versus a faster one. They estimate how expectations respond to a 25 bp rate increase and test supply-shock scenarios. The analysis suggests expectations are drifting, so they tighten gradually while communicating a clear target. After implementation, they monitor wage growth and survey expectations to recalibrate the curve.

## 似ている言葉との違い

Compare Phillips Curve with adjacent concepts before deciding. Phillips Curve | Current concept | Use when the team needs the primary decision lens Adjacent metric or framework | Supporting lens | Use when the team needs evidence or process detail General vocabulary | Broad explanation | Use only for orientation, not final decision-making

- Phillips Curve | Current concept | Use when the team needs the primary decision lens
- Adjacent metric or framework | Supporting lens | Use when the team needs evidence or process detail
- General vocabulary | Broad explanation | Use only for orientation, not final decision-making

## Aliases

- Phillips Curve (display_name, en-US)
- フィリップス・カーブ (katakana, en-US)
- フィリップス曲線 (localized_title, ja-JP)
- Phillips Curve (english_name, en-US)

## RAG Chunks

- core:chunk:phillips-curve:en-US:definition:7d2be7b009a911d4
- core:chunk:phillips-curve:en-US:meaning:3c836bb7872413f4
- core:chunk:phillips-curve:en-US:usage:e0e2ebf19edfaf0a
- core:chunk:phillips-curve:en-US:usage:55c22ca08d977021
- core:chunk:phillips-curve:en-US:misunderstandings:4995193688a1eba8
- core:chunk:phillips-curve:en-US:examples:5d751b6aff3138b7
- core:chunk:phillips-curve:en-US:comparisons:9ccfd1c06c1c1580
- core:chunk:phillips-curve:en-US:faq:44b4f0aa4c9fb19f
- core:chunk:phillips-curve:en-US:faq:53d65689f5418f2e
- core:chunk:phillips-curve:en-US:faq:c3660282e3cc2119

## FAQ

### When should I use Phillips Curve?

Use it when the team needs to decide scope, priority, owner, or trade-off, not when it only needs a short definition.

### What makes Phillips Curve useful in practice?

It becomes useful when it is tied to evidence, a decision owner, and a concrete next operating choice.

### What should I avoid?

Avoid using the term as a label without clarifying assumptions, boundaries, and how success will be judged.

## Sources

- CORE Econ (The Economy) - https://www.core-econ.org/
- Principles of Marketing (Open Textbook Library) - https://open.umn.edu/opentextbooks/textbooks/principles-of-marketing
- Principles of Management (OpenStax) - https://openstax.org/details/books/principles-management

## Limitations

This page is reference information for research and learning. For accounting, legal, finance, health, security, or other individual decisions, confirm against primary sources or qualified professionals.

- Public pages support general understanding and practical context; they are not professional advice for individual cases.
- Fast-changing information such as regulations, accounting standards, prices, product specs, and legal requirements should be checked against primary sources before final decisions.
- Even when AI-assisted drafting or audit is used, publication relies on quality gates and human-readable evidence.