regional-economics

What problem does it solve?

Regional-economics helps you quantify how and why regional economies change over time by decomposing employment/output shifts, measuring industrial concentration, estimating multiplier effects, and testing spatial patterns that affect policy outcomes.

Core Features & Use Cases

• Location Quotients (LQ): Identify industry specialization and potential export-base candidates from regional versus national employment shares.
• Shift-Share Decomposition (Dunn 1960): Break regional industry employment/output change into national share, industry mix, and competitive effects for actionable interpretation.
• Input-Output (Leontief) Modeling: Convert a technical coefficient matrix into Leontief inverses to compute output multipliers and demand-shock impacts.
• Convergence & Spatial Econometrics: Estimate beta-convergence and assess sigma-convergence, while supporting spatial autocorrelation and spatial dependence concepts for regional datasets.
• Use Case: You have regional employment and industry breakdowns across two years and want a policy-ready report distinguishing whether growth is driven by national trends, sector composition, or local competitiveness, including indirect effects from sectoral demand shocks.

Quick Start

Use the regional-economics skill to compute location quotients, run a Dunn shift-share decomposition, estimate convergence metrics, and simulate an input-output demand shock for the specified regions and industries.