IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v24y2017i19p1351-1357.html
   My bibliography  Save this article

Modelling movie attendance with seasonality: evidence from China

Author

Listed:
  • Xu Zhang
  • Guangming Hou
  • Weijia Dong

Abstract

High-frequency data improves the timeliness of movie attendance forecasts, but also results in the issue of seasonality. The main objective of this article is to build and test a novel movie attendance model that considers seasonality. Based on the Bass model, we combine an intertemporal demand shift pattern and the binary elements of seasonality – weekends and holidays – and propose a model called DISBM. We chose a sample of 58 movies released in China in 2013 to evaluate our proposal. The empirical results suggest that DISBM has better performance than other seasonal models. We demonstrate that the intertemporal demand shift results in weekend fluctuations, while the extra demand causes the seasonal holiday effect. The intent of this study is to better understand various movie attendance diffusions given different seasonal effects, in order to develop corresponding marketing strategies.

Suggested Citation

  • Xu Zhang & Guangming Hou & Weijia Dong, 2017. "Modelling movie attendance with seasonality: evidence from China," Applied Economics Letters, Taylor & Francis Journals, vol. 24(19), pages 1351-1357, November.
    • Handle: RePEc:taf:apeclt:v:24:y:2017:i:19:p:1351-1357
    DOI: 10.1080/13504851.2017.1279260
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2017.1279260
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504851.2017.1279260?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. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.

    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:apeclt:v:24:y:2017:i:19:p:1351-1357. 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/RAEL20 .

    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.