IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v33y1997i2p117-127.html
   My bibliography  Save this article

Estimation of Swiss railway demand with computation of elasticities

Author

Listed:
  • Rolle, Jean-Daniel

Abstract

We adapt the 'Almost Ideal Demand System' (AIDS) from consumer expenditure theory to estimate an equation explaining demand for rail passsenger travel. The motivation for using an AIDS is essentially empirical: (1) The model is flexible enough to easily enable the insertion of specific variables to take account of variation in the characteristics of goods (examples cited include 'speed of transportation' and 'density of the railway network'); (2) the obtained equation ensures a good fit to the data and compares favorably with other specifications. We derive a demand function and formulas for the elasticities and other parameters. The model is applied to Swiss data, using a three-way error components model on cross-section and time series data. We apply a linear, simplified, version of the AIDS and we use an iterative approximation of the true AIDS price index. Thanks to bootstrap replications, we simulate the distribution of the most relevant estimates of the elasticities.

Suggested Citation

  • Rolle, Jean-Daniel, 1997. "Estimation of Swiss railway demand with computation of elasticities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 33(2), pages 117-127, June.
    • Handle: RePEc:eee:transe:v:33:y:1997:i:2:p:117-127
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554597000094
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Wardman, Mark & Lythgoe, William & Whelan, Gerard, 2007. "Rail Passenger Demand Forecasting: Cross-Sectional Models Revisited," Research in Transportation Economics, Elsevier, vol. 20(1), pages 119-152, January.

    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:eee:transe:v:33:y:1997:i:2:p:117-127. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    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.