IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

List Prices, Sale Prices, and Marketing Time: An Application to U.S. Housing Markets

  • Haurin, Donald R.

    (Ohio State U)

  • Haurin, Jessica L.

    (Massachusetts Institute of Technology)

  • Nadauld, Taylor

    (Ohio State U)

  • Sanders, Anthony B.

    (Ohio State U)

Many goods are marketed after first stating a list price, with the expectation that the eventual sales price will differ. In this paper we first extend search theory to include the seller setting a list price. Holding constant the mean of the buyers’ distribution of potential offers for a good, we assume that the greater the list price, the slower the arrival rate of offers but the greater is the maximal offer. This tradeoff determines the optimal list price, which is set simultaneously with the seller’s reservation price. Comparative statics are derived through a set numerical sensitivity tests, where we show that the greater the variance of the distribution of buyers’ potential offers, the greater is the ratio of the list price to expected sales price. Thus, sellers of atypical goods will tend to set a relatively high list price compared with standard goods. We test this hypothesis using data from the Columbus, Ohio housing market and find substantial support. Other applications could include the market for fine art or autos.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.cob.ohio-state.edu/fin/dice/papers/2006/2006-22.pdf
Download Restriction: no

Paper provided by Ohio State University, Charles A. Dice Center for Research in Financial Economics in its series Working Paper Series with number 2006-22.

as
in new window

Length:
Date of creation: Oct 2006
Date of revision:
Handle: RePEc:ecl:ohidic:2006-22
Contact details of provider: Phone: (614) 292-8449
Web page: http://www.cob.ohio-state.edu/fin/dice/list.htmEmail:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Knight, John R & Sirmans, C F & Turnbull, Geoffrey K, 1994. "List Price Signaling and Buyer Behavior in the Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 9(3), pages 177-92, November.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ecl:ohidic:2006-22. 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: ()

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.