IDEAS home Printed from https://ideas.repec.org/a/taf/houspd/v15y2004i2p347-383.html
   My bibliography  Save this article

Fueling the fire: Information technology and housing price appreciation in the San Francisco Bay area and the Twin Cities

Author

Listed:
  • Karen Chappie
  • John Thomas
  • Dena Belzer
  • Gerald Autler

Abstract

Fueled by the information technology industry, many regions saw rapid economic growth in the late 1990s, accompanied by upward pressure on housing prices. Yet housing price appreciation varies significantly within metropolitan areas. This article uses the San Francisco Bay Area and the Twin Cities to examine the variation in appreciation in order to determine the role of intrametropolitan sectoral location patterns in shaping hot and cold local housing markets. It first develops livability indicators at the ZIP code and city levels, as well as economic indicators based on each city's commute‐shed (a geographic region defined by the average travel time between homes and jobs). It then uses discriminant analysis to identify the key indicators that differentiate between rapidly appreciating and slower‐growth areas. Findings suggest the particular importance of information‐intensive start‐up firms in shaping price appreciation in the Bay Area; however, traditional amenities better explain appreciation in the Twin Cities.

Suggested Citation

  • Karen Chappie & John Thomas & Dena Belzer & Gerald Autler, 2004. "Fueling the fire: Information technology and housing price appreciation in the San Francisco Bay area and the Twin Cities," Housing Policy Debate, Taylor & Francis Journals, vol. 15(2), pages 347-383.
    • Handle: RePEc:taf:houspd:v:15:y:2004:i:2:p:347-383
    DOI: 10.1080/10511482.2004.9521505
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10511482.2004.9521505
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10511482.2004.9521505?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    Citations

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


    Cited by:

    1. Karen Chapple & Jae Sik Jeon, 2021. "Big Tech on the Block: Examining the Impact of Tech Campuses on Local Housing Markets in the San Francisco Bay Area," Economic Development Quarterly, , vol. 35(4), pages 351-369, November.

    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:taf:houspd:v:15:y:2004:i:2:p:347-383. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RHPD20 .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.