IDEAS home Printed from https://ideas.repec.org/h/spr/adspcp/978-3-642-79877-1_15.html
   My bibliography  Save this book chapter

A Multiprocess Mixture Model to Estimate Space-Time Dimensions of Weekly Pricing of Certificates of Deposit

In: New Directions in Spatial Econometrics

Author

Listed:
  • James P. LeSage

    (University of Toledo)

Abstract

The spatial dimension of banking markets is often discussed in the banking and finance literature, but neglected in empirical studies of behavior by depository institutions. As Anselin and Griffith (1988) point out, neglect of spatial aspects of economic behavior is not unusual, even by those working in regional science. Traditional depository institution regulatory policy, based on a structural analysis of local markets, generally operates under the assumption of the U.S. banking system as a collection of segmented markets versus an integrated national banking system. From this perspective, banks and thrifts in local regions have little or no effect on the pricing decisions of firms operating in other localities. In the deregulated banking environment of the 1980s, some bank retail deposit markets may be better characterized as operating in such a way as to generate spatial effects. As of October 1983, all depository institutions were permitted to offer competitive market rates on interest-sensitive deposits, including retail certificates of deposit (CDs). In turn, many institutions, particularly large banks, have used national advertising and brokers to attract large retail (insured) deposits from other regions. With greater deregulation and competition for deposit funds and increased reliance of banks on interest-sensitive deposits, significant spatial effects in the deposit-rate setting decisions of banks across regions might be expected. The presence or lack of spatial effects in regional bank markets is important to bank managers, analysts, and regulators in terms of defining relevant markets and measuring the competitive effects of greater deregulation.

Suggested Citation

  • James P. LeSage, 1995. "A Multiprocess Mixture Model to Estimate Space-Time Dimensions of Weekly Pricing of Certificates of Deposit," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax (ed.), New Directions in Spatial Econometrics, chapter 15, pages 359-397, Springer.
  • Handle: RePEc:spr:adspcp:978-3-642-79877-1_15
    DOI: 10.1007/978-3-642-79877-1_15
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:adspcp:978-3-642-79877-1_15. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.