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The Housing Market(s) of San Diego

Author Info

Listed author(s):
  • Tim Landvoigt
  • Monika Piazzesi
  • Martin Schneider

Abstract

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.

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File URL: http://www.nber.org/papers/w17723.pdf
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 17723.

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Length:
Date of creation: Jan 2012
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)
Handle: RePEc:nbr:nberwo:17723
Note: AP EFG ME
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Keywords:

Find related papers by 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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  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.
  2. Jack Favilukis & Sydney C. Ludvigson & Stijn Van Nieuwerburgh, 2017. "The Macroeconomic Effects of Housing Wealth, Housing Finance, and Limited Risk Sharing in General Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 125(1), pages 140-223.
  3. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, July.
  4. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2007. "A Unified Framework for Measuring Preferences for Schools and Neighborhoods," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 588-638, 08.
  5. Nobuhiro Kiyotaki & Alexander Michaelides & Kalin Nikolov, 2011. "Winners and Losers in Housing Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 255-296, 03.
  6. Caplin, Andrew & Leahy, John, 2014. "A graph theoretic approach to markets for indivisible goods," Journal of Mathematical Economics, Elsevier, vol. 52(C), pages 112-122.
  7. Atif Mian & Amir Sufi, 2009. "The Consequences of Mortgage Credit Expansion: Evidence from the U.S. Mortgage Default Crisis," The Quarterly Journal of Economics, Oxford University Press, vol. 124(4), pages 1449-1496.
  8. Chatterjee, Satyajit & Eyigungor, Burcu, 2009. "Foreclosures and house price dynamics: a quantitative analysis of the mortgage crisis and the foreclosure prevention policy," Working Papers 09-22, Federal Reserve Bank of Philadelphia.
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Cited by:

  1. Agarwal, Sumit & Amromin, Gene & Ben-David, Itzhak & Chomsisengphet, Souphala & Piskorski, Tomasz & Seru, Amit, 2012. "Policy Intervention in Debt Renegotiation: Evidence from the Home Affordable Modification Program," Working Paper Series 2012-20, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
  2. Dominik Menno & Tommaso Oliviero, 2014. "Financial Intermediation, House Prices and the Welfare Effects of the U.S. Great Recession," CSEF Working Papers 373, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 04 Oct 2016.
  3. Diego Escobari & Damian Damianov & Andres Bello, 2015. "A time series test to identify housing bubbles," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(1), pages 136-152, January.
  4. Määttänen, Niku & Terviö, Marko, 2014. "Income distribution and housing prices: An assignment model approach," Journal of Economic Theory, Elsevier, vol. 151(C), pages 381-410.
  5. Bulent Guler, 2015. "Innovations in Information Technology and the Mortgage Market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(3), pages 456-483, July.
  6. Yongqiang Chu, 2014. "Credit constraints, inelastic supply, and the housing boom," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(1), pages 52-69, January.
  7. Marcelo M. de Oliveira & Alexandre C. L. Almeida, 2014. "Testing for rational speculative bubbles in the Brazilian residential real-estate market," Papers 1401.7615, arXiv.org.
  8. Lars Nesheim & Florian Oswald & Jonathan Halket, 2015. "A Selection Model of Hedonic House Values and Rents," 2015 Meeting Papers 961, Society for Economic Dynamics.
  9. Eugene Amromin & Jennifer Huang & Clemens Sialm & Edward Zhong, 2010. "Complex mortgages," Working Paper Series WP-2010-17, Federal Reserve Bank of Chicago.
  10. Damian S. Damianov & Diego Escobari, 2016. "Long-run Equilibrium Shift and Short-run Dynamics of U.S. Home Price Tiers During the Housing Bubble," The Journal of Real Estate Finance and Economics, Springer, vol. 53(1), pages 1-28, July.

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