labor-markets

Model unemployment dynamics, NAIRU, and inflation linkages for labor-market analysis.

2|1|Updated Mar 14, 2026

Search Tags:#unemployment #macroeconomics #labor-market #nairu #phillips-curve #okuns-law #wage-dynamics

Ready to run

npx skills add https://github.com/brainbytes-dev/everything-claude-finance --skill labor-markets

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: labor-markets
Source: https://github.com/brainbytes-dev/everything-claude-finance/tree/main/skills/economics/labor-markets
Command: npx skills add https://github.com/brainbytes-dev/everything-claude-finance --skill labor-markets

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a structured framework to analyze labor-market dynamics, enabling consistent interpretation of unemployment, wage trends, and inflation relationships for analysts, policymakers, and researchers.

Core Features & Use Cases

Model unemployment types (frictional, structural, cyclical, seasonal) and assess their policy implications
Estimate NAIRU and evaluate its impact on monetary and fiscal policy
Apply Phillips Curve analysis and Okun's Law to forecast inflation and output gaps
Analyze wage dynamics and labor share to inform policy and forecasting
Conduct cross-country comparisons of labor-market institutions and outcomes

Quick Start

Ask the AI to estimate NAIRU and illustrate a simple Phillips Curve scenario using recent data

Frequently Asked Questions about labor-markets

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I estimate NAIRU and model its impact on monetary policy?▼

To estimate NAIRU, provide explicit inputs including the unemployment rate, inflation, GDP gap, and policy context. The framework models unemployment dynamics and inflation linkages to produce guidance on NAIRU estimation and its trade-offs for monetary and fiscal policy decisions.

What is the Phillips Curve and how does it relate to wage dynamics and inflation?▼

The Phillips Curve models the inverse relationship between unemployment and inflation. This framework applies Phillips Curve specification alongside wage dynamics and labor share analysis to forecast inflation trends and interpret wage movements across macroeconomic scenarios.

How do I apply Okun's Law to forecast the output gap during a cyclical downturn?▼

Okun's Law links unemployment changes to GDP gaps. By inputting the unemployment rate and GDP gap, the framework applies Okun's Law alongside Phillips Curve analysis to forecast output gaps and assess policy responses during cyclical downturns.

Can I use this framework for cross-country comparisons of labor-market institutions?▼

Yes, cross-country comparisons of labor-market institutions and outcomes are supported. Provide the unemployment rate, inflation, GDP gap, and policy context for each country to analyze differing labor-market dynamics and institutional impacts on policy trade-offs.

What inputs do I need to analyze unemployment types and their policy implications?▼

You need to provide explicit inputs: the unemployment rate, inflation, GDP gap, and policy context. The framework then models frictional, structural, cyclical, and seasonal unemployment types to assess their distinct policy implications.

What are the limitations of using NAIRU estimation for labor-market forecasting?▼

NAIRU estimation requires accurate inputs for unemployment, inflation, and GDP gap, and assumes stable inflation linkages. Limitations arise during structural policy reforms or institutional shifts where the Phillips Curve relationship may break down, making cross-country comparisons less reliable.