Calibrate fungibility exchange rates from empirical data

[PlutoYork]

The 9×9 exchange rate matrix in hedonics/fungibility.py is currently based on reasonable estimates. These should be calibrated against empirical research.

Potential sources

• Labor economics: time → money exchange rates by occupation
• Consumer expenditure survey: how people actually trade money for time
• Health economics: financial → physical conversion rates
• Education research: time → knowledge acquisition curves
• Social capital research: time/attention → relationship building rates

Approach

• Literature review for each exchange path
• Parameterize rates by demographics (income, age, location)
• Make rates configurable per individual (your exchange rates differ from average)

This would make the fungibility calculus genuinely prescriptive rather than illustrative.