The Housing Market(s) of San Diego
This paper uses an assignment model to understand the cross section of house prices within a metro area. Movers' demand for housing is derived from a lifecycle problem with credit market frictions. Equilibrium house prices adjust to assign houses that differ by quality to movers who differ by age, income and wealth. To quantify the model, we measure distributions of house prices, house qualities and mover characteristics from micro data on San Diego County during the 2000s boom. The main result is that cheaper credit for poor households was a major driver of prices, especially at the low end of the market.
|Date of creation:||Jan 2012|
|Date of revision:|
|Publication status:||published as “The Housing Market(s) of San Diego” (with Tim Landvoigt and Martin Schneider) American Economic Review, vol. 105, no. 4, April 2015 (pp. 1371-1407)|
|Note:||AP EFG ME|
|Contact details of provider:|| Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.|
Web page: http://www.nber.org
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