Using Count Data Models in Travel Cost Analysis with Aggregate Data
In order to control for censoring and the integer nature of trip demand, the use of count ata models in travel cost analysis is attractive. Two such models, the Poisson and negative binomial, are discussed. Robust estimation techniques that loosen potentially stringent distributional assumptions are also reviewed. For illustrative purposes, several ount data models are used to estimate a county-level travel cost model using permit ata from the Boundary Waters Canoe Area.
|Date of creation:||1991|
|Date of revision:|
|Publication status:||Published in American Journal of Agricultural Economics 73.3(1991): pp. 860-866|
|Contact details of provider:|| Postal: |
Web page: http://mpra.ub.uni-muenchen.de
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:25264. 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: (Ekkehart Schlicht)
If references are entirely missing, you can add them using this form.