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The Housing Market(s) of San Diego

Author

Listed:
  • Monika Piazzesi

    (Stanford)

  • Martin Schneider

    (Stanford)

  • Tim Landvoigt

    (Stanford)

Abstract

We study a quantitative asset pricing model with a continuum of house types. Equilibrium house prices match the inventory of available houses and housing demand from households that differ by age, income, wealth, and access to credit markets. The shape of the house price function reflects households' preferences across segments of the housing market in a nonlinear way. This is in contrast to the standard model with homogenous housing capital where Euler equations of all households help determine the per-unit price of housing capital. To implement the model quantitatively, we measure the inventory of houses and the distribution of household characteristics using micro data on the San Diego Metro Area during the recent boom-bust episode. We show that easier access to credit for poor agents played an important role in driving up house prices for low quality housing, but did not matter much for the overall price level.

Suggested Citation

  • Monika Piazzesi & Martin Schneider & Tim Landvoigt, 2010. "The Housing Market(s) of San Diego," 2010 Meeting Papers 1309, Society for Economic Dynamics.
  • Handle: RePEc:red:sed010:1309
    as

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    References listed on IDEAS

    as
    1. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 2016. "Understanding Booms and Busts in Housing Markets," Journal of Political Economy, University of Chicago Press, vol. 124(4), pages 1088-1147.
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    9. Atif Mian & Amir Sufi, 2009. "The Consequences of Mortgage Credit Expansion: Evidence from the U.S. Mortgage Default Crisis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1449-1496.
    10. Edward L. Glaeser & Joseph Gyourko & Raven E. Saks, 2005. "Why Have Housing Prices Gone Up?," American Economic Review, American Economic Association, vol. 95(2), pages 329-333, May.
    11. Kaneko, Mamoru, 1982. "The central assignment game and the assignment markets," Journal of Mathematical Economics, Elsevier, vol. 10(2-3), pages 205-232, September.
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    More about this item

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

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