Analysing Preference Heterogeneith using Random Parameter Logit and Latent Class Modelling Techniques
Multi-attribute revealed preference data is used to investigate the heterogeneity of tastes in a sample of kayakers, in relation to eleven whitewater sites in Ireland. The paper focuses on a comparison of the analysis of preference heterogeneity using a random parameter logit model and a latent class model. We assess and contrast the evidence for the presence of a finite number of 2, 3, 4 and 5 latent preference groups (classes), and contrast these with the presence of a continuous distribution of parameter estimates using the random parameter logit model. Welfare estimates associated with changes in the attributes of particular whitewater sites are also presented, and are found to vary considerably depending on the approach taken..
|Date of creation:||2005|
|Date of revision:||2005|
|Contact details of provider:|| Postal: St. Anthony's College, Newcastle Road, Galway|
Phone: +353-91 524411 ext. 2501
Fax: +353-91 524130
Web page: http://economics.nuigalway.ie
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:nig:wpaper:0091. 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: (Srinivas Raghavendra)
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.