IDEAS home Printed from https://ideas.repec.org/p/hhs/cbsnow/2009_006.html
   My bibliography  Save this paper

Non-Linear Mixed Logit and the Characterization of Individual Heterogeneity

Author

Listed:
  • Andersen, Steffen

    (Department of Economics, Copenhagen Business School)

  • Harrison, Glenn W.
  • Hole, Arne Risa
  • Rutström, Elisabet E.

Abstract

Experimental data exhibit considerable individual heterogeneity. We review the econometric methods employed to characterize that heterogeneity. We pay particular attention to the trade-off between collecting and allowing for observable characteristics, such as the familiar demographics, and the use of statistical methods to allow for unobserved individual heterogeneity. We demonstrate that these tools are complementary.

Suggested Citation

  • Andersen, Steffen & Harrison, Glenn W. & Hole, Arne Risa & Rutström, Elisabet E., 2009. "Non-Linear Mixed Logit and the Characterization of Individual Heterogeneity," Working Papers 06-2009, Copenhagen Business School, Department of Economics.
    • Handle: RePEc:hhs:cbsnow:2009_006
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10398/7802
    File Function: Full text
    Download Restriction: Full text not avaiable
    ---><---

    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. Antoni Bosch-Domènech & José Montalvo & Rosemarie Nagel & Albert Satorra, 2010. "A finite mixture analysis of beauty-contest data using generalized beta distributions," Experimental Economics, Springer;Economic Science Association, vol. 13(4), pages 461-475, December.
    2. Zheng Li & David Hensher, 2010. "Prospect Theoretic Contributions in Understanding Traveller Behaviour: A Review and Some Comments," Transport Reviews, Taylor & Francis Journals, vol. 31(1), pages 97-115, May.
    3. Martin Achtnicht, 2012. "German car buyers’ willingness to pay to reduce CO 2 emissions," Climatic Change, Springer, vol. 113(3), pages 679-697, August.
    4. Achtnicht, Martin, 2011. "Do environmental benefits matter? Evidence from a choice experiment among house owners in Germany," Ecological Economics, Elsevier, vol. 70(11), pages 2191-2200, September.
    5. Hensher, David A. & Greene, William H. & Li, Zheng, 2011. "Embedding risk attitude and decision weights in non-linear logit to accommodate time variability in the value of expected travel time savings," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 954-972, August.

    More about this item

    Keywords

    econometrics; demography;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

    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:hhs:cbsnow:2009_006. 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: CBS Library Research Registration Team (email available below). General contact details of provider: https://edirc.repec.org/data/incbsdk.html .

    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.