Measurement & reconstruction
Build historical series from prices, wages, output, population and trade while keeping missing data and changing definitions explicit.
Subject
Purpose
Economic change studied historically through production, prices, institutions, technology, trade, inequality and living standards.
Structure
Periodization → sources → causation → continuity → change
Economic history connects quantitative series and institutional evidence to questions about growth, distribution and structural change without treating present economic categories as timeless.
Build historical series from prices, wages, output, population and trade while keeping missing data and changing definitions explicit.
Study how law, states, firms, households and property regimes shape incentives and distribution over time.
Connect innovation, energy, skills and organization to productivity while distinguishing invention from diffusion.
Trace market integration, capital flows and monetary systems across local, imperial and global scales.
Compare changes in output and living standards with who gains, who loses and how distribution is measured.
These separations prevent nearby ideas from collapsing into one another before the subject is understood.
GDP growth ≠ welfare
correlation ≠ historical cause
market integration ≠ equalization
Use these to test whether the model is becoming explanatory rather than merely familiar.
Which institutions explain persistent differences in growth without becoming catch-all causes?
How reliable are historical estimates when sources were collected for other purposes?
When did technological change improve broad living standards rather than only aggregate output?
Triangulate archival records with reconstructed quantitative series, sensitivity analysis and institutional history; measurement uncertainty is part of the result.