IDEAS home Printed from
   My bibliography  Save this article

An Integer-Valued Time Series Model for Hotels that Accounts for Constrained Capacity


  • Brannas Kurt

    () (Umea University)

  • Nordstrom Jonas

    () (Umea University)


Many service industry firms strive hard to fill free capacity in order to cover their costs for a fixed capital stock. This paper presents a time series model where the capacity constraint is an integral part. The integer-valued autoregressive model builds on a simple idea of how daily time series arise for hotels and other similar establishments. Measures that follow naturally from the time series model are the occupancy probability and the duration of stay for the visitor. Empirically, we study the effects of price changes and a large festival, on these measures.

Suggested Citation

  • Brannas Kurt & Nordstrom Jonas, 2004. "An Integer-Valued Time Series Model for Hotels that Accounts for Constrained Capacity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(4), pages 1-11, December.
  • Handle: RePEc:bpj:sndecm:v:8:y:2004:i:4:n:6

    Download full text from publisher

    File URL:
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

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


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

    Cited by:

    1. Krishnan, Trichy V. & Feng, Shanfei & Beebe, Tony, 2011. "Modeling the demand and supply in a new B2B-upstream market using a knowledge updating process," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1160-1177, October.

    More about this item


    Access and download statistics


    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:bpj:sndecm:v:8:y:2004:i:4:n:6. 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: (Peter Golla). General contact details of provider: .

    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 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.

    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.