Earlier we mentioned how Goldman Sachs had constructed a new model to predict housing prices.
The model anticipates prices based on the following factors.
Long term factors
- Income: A 1% increase in per capita income is associated with a 0.61% increase in home values.
- User costs: Every 1% increase in user costs (taxes, maintenance, etc.) depresses values by 1.2%.
- Construction costs: The higher they are, the more expensive they are.
- Population: This matters, but only in areas where land supply is inelastic (like San Francisco or New York, as opposed to Dallas).
Short term factors
- Momentum.
- Mean reversion.
- Excess supply.
- Health of the mortgage market.
Anyway, the team -- lead by top economist Jan Hatzius -- published this chart to show which big metro areas are over and undervalued.
The cheapest? Vegas! Then Detroit. The hardest hit are now the best deals.
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