IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

The Significance of the Shoulder Season of Hotel Nights - Evidence from Denmark

Listed author(s):
  • Nils Karl Sorensen


During the past decades, the role of the shoulder season has gained increasing attention. It is obvious that an expansion of the length of the high season with the shoulder season will have a positive effect on labor demand and income in a given region. The purpose of this paper is to address the issue of the shoulder season in a time series framework. Departing from a discussion of the nature of types of seasonal variation, a test is set up in order to examine the impact of the shoulder season. The test examines the impact on the mean share of hotel nights in the shoulder season months in two different periods. The method is applied on a monthly data set on hotel nights ranging for 37 years by regions of Denmark and by nationalities of visitors. At the regional level, a much-diversified picture is found. In general, the shoulder season of October has increased significance. For rural counties such as Storstroem, Ribe and North Jutland positive effects are observed for other months as well. However, we find for many other rural areas no significant effect. With regard to nationalities of tourists visiting Denmark, the shoulder season has a different interpretation. For nationalities close to Denmark we observe a quite similar pattern to the one observed by regions in Denmark. For oversea tourists like from the US or Japan the pattern is different and also much dependent on the price level and exchange rate fluctuations. In order to examine the validity of this approach an a comparison is made with data for Norway. Here a completely different picture is revealed highlighting the significance of Winter tourism relative to Denmark. Theme: Regional development JEL Classification: R15 Key words: Seasonality, Bays-Ballot plots, testing for equal mean shares

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:
Download Restriction: no

Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa10p150.

in new window

Date of creation: Sep 2011
Handle: RePEc:wiw:wiwrsa:ersa10p150
Contact details of provider: Postal:
Welthandelsplatz 1, 1020 Vienna, Austria

Web page:

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.:

in new window

  1. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
  2. Hylleberg, Svend, 1986. "Seasonality in Regression," Elsevier Monographs, Elsevier, edition 1, number 9780123634559 edited by Shell, Karl.
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:wiw:wiwrsa:ersa10p150. 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: (Gunther Maier)

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.