EconPapers    
Economics at your fingertips  
 

Using Count Data Models in Travel Cost Analysis with Aggregate Data

Daniel Hellerstein

MPRA Paper from University Library of Munich, Germany

Abstract: 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.

Keywords: Boundary Waters Canoe Area; count data; negative binomial; Poisson; travel cost (search for similar items in EconPapers)
JEL-codes: C25 O13 Q51 (search for similar items in EconPapers)
Date: 1991
References: Add references at CitEc
Citations: View citations in EconPapers (71)

Published in American Journal of Agricultural Economics 73.3(1991): pp. 860-866

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/25264/1/MPRA_paper_25264.pdf original version (application/pdf)

Related works:
Journal Article: Using Count Data Models in Travel Cost Analysis with Aggregate Data (1991) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:25264

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-30
Handle: RePEc:pra:mprapa:25264