IDEAS home Printed from https://ideas.repec.org/a/aea/aecrev/v102y2012i3p134-40.html
   My bibliography  Save this article

Heterogeneity in Neighborhood-Level Price Growth in the United States, 1993-2009

Author

Listed:
  • Fernando Ferreira
  • Joseph Gyourko

Abstract

Examination of detailed geographical information on U.S. housing transactions from 1993 to 2009 find much heterogeneity at the neighborhood level in when the recent boom began, how big the initial jumps in price growth were, how long the booms lasted, and what types of neighborhoods boomed first. There is less neighborhood-level heterogeneity in when the bust began and in aggregate price appreciation during the boom. This heterogeneity suggests that there was no one dominant cause of the boom. We also comment on how very local data may help understand the role of contagion, among other housing market phenomena.

Suggested Citation

  • Fernando Ferreira & Joseph Gyourko, 2012. "Heterogeneity in Neighborhood-Level Price Growth in the United States, 1993-2009," American Economic Review, American Economic Association, vol. 102(3), pages 134-140, May.
    • Handle: RePEc:aea:aecrev:v:102:y:2012:i:3:p:134-40
    as

    Download full text from publisher

    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/aer.102.3.134
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David Card & Alexandre Mas & Jesse Rothstein, 2008. "Tipping and the Dynamics of Segregation," The Quarterly Journal of Economics, Oxford University Press, vol. 123(1), pages 177-218.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Glaeser, Edward L. & Nathanson, Charles G., 2015. "Housing Bubbles," Handbook of Regional and Urban Economics, Elsevier.
    2. Jing Wu & Yongheng Deng, 2015. "Intercity Information Diffusion and Price Discovery in Housing Markets: Evidence from Google Searches," The Journal of Real Estate Finance and Economics, Springer, vol. 50(3), pages 289-306, April.
    3. John Cotter & Stuart Gabriel & Richard Roll, 2012. "Can Metropolitan Housing Risk be Diversified? A Cautionary Tale from the Recent Boom and Bust," Papers 1208.0371, arXiv.org.
    4. repec:eee:regeco:v:68:y:2018:i:c:p:98-114 is not listed on IDEAS
    5. Shao, Adam W. & Hanewald, Katja & Sherris, Michael, 2015. "Reverse mortgage pricing and risk analysis allowing for idiosyncratic house price risk and longevity risk," Insurance: Mathematics and Economics, Elsevier, vol. 63(C), pages 76-90.
    6. Paul E. Carrillo & Eric R. Wit & William Larson, 2015. "Can Tightness in the Housing Market Help Predict Subsequent Home Price Appreciation? Evidence from the United States and the Netherlands," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(3), pages 609-651, September.
    7. Edward L. Glaeser & Charles G. Nathanson, 2014. "Housing Bubbles," NBER Working Papers 20426, National Bureau of Economic Research, Inc.
    8. Paul E. Carrillo & Erik Robert De Wit & William D. Larson, 2012. "Can Tightness in the Housing Market Help Predict Subsequent Home Price Appreciation? Evidence from the U.S. and the Netherlands," Working Papers 2012-11, The George Washington University, Institute for International Economic Policy.
    9. Katja Hanewald & Michael Sherris, 2013. "Postcode-Level House Price Models for Banking and Insurance Applications," The Economic Record, The Economic Society of Australia, vol. 89(286), pages 411-425, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:aecrev:v:102:y:2012:i:3:p:134-40. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jane Voros) or (Michael P. Albert). General contact details of provider: http://edirc.repec.org/data/aeaaaea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.