Nonparametric and Semi-Nonparametric Recreational Demand Analysis

Joseph Cooper ()

MPRA Paper from University Library of Munich, Germany

Abstract: This paper addresses issues of specification testing for the travel cost method (TCM). Two nonparametric approaches to TCM analysis are presented. In addition, semi- nonparametric count models for TCM are developed.A numerical illustration isprovided in which the three methodsare applied to an actual TCM data set on waterfowl hunting and the results are compared to those from a parametric analysis.

Keywords: bootstrap; count model; Fourier; kernel; nonparametric; PAVA; semi-nonparametric; travel cost method (search for similar items in EconPapers)
JEL-codes: Q0 (search for similar items in EconPapers)
Date: 1999-06-29
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/24780/2/MPRA_paper_24780.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/25886/1/MPRA_paper_25886.pdf revised version (application/pdf)

Related works:
Journal Article: Nonparametric and Semi-Nonparametric Recreational Demand Analysis (2000)
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:24780

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 ().