Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Estimating recreation demand with on-site panel data: An application of a latent class truncated and endogenously stratified count data model

    Access Status
    Fulltext not available
    Authors
    Hynes, S.
    Greene, William
    Date
    2011
    Type
    Working Paper
    
    Metadata
    Show full item record
    Citation
    Hynes, S. and Greene, W. 2011. Estimating recreation demand with on-site panel data: An application of a latent class truncated and endogenously stratified count data model, Socio-Economic Marine Research Unit, National University of Ireland Working Paper Series, Curtin University of Technology, School of Economics and Finance.
    School
    School of Economics and Finance
    URI
    http://hdl.handle.net/20.500.11937/27440
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we present an extension of Shaw’s (1988) and Englin and Shonkwiler’s (1995) count data travel cost models corrected for on-site sampling to a panel data setting. We develop a panel data negative binomial count data model that corrects for endogenous stratification and truncation. We also incorporate a latent class structure into our panel specification which assumes that the observations are drawn from a finite number of segments, where the distributions differ in the intercept and the coefficients of the explanatory variables. Results of this model are compared to some of the more common modelling approached in the literature. The chosen models are applied to revealed and contingent travel data obtained from a survey of visitors to a beach on the outskirts of Galway city in Ireland. The paper argues that count data panel models corrected for on-site sampling may still be inadequate and potentially misleading if the population of interest is heterogeneous with respect to the impact of the chosen explanatory variables.

    Related items

    Showing items related by title, author, creator and subject.

    • Modelling recreation demand with revealed and stated preference panel data under conditions of endogenous stratification and truncation: A latent class approach
      Greene, William; Hynes, S. (2011)
      In this paper, we present an extension of Shaw’s (1988) and Englin and Shonkwiler’s (1995) count data travel cost models corrected for on-site sampling to a panel data setting. We develop a panel data negative binomial ...
    • A Panel Travel Cost Model Accounting for Endogenous Stratification and Truncation: A Latent Class Approach
      Greene, William; Hynes, S. (2013)
      In this paper, we develop a panel data negative binomial count model that corrects for endogenous stratification and truncation. We also incorporate a latent class structure into our panel specification, which assumes ...
    • A panel travel cost model accounting for endogenous stratification and truncation: A latent class approach
      Hynes, S.; Greene, William (2013)
      In this paper, we develop a panel data negative binomial count model that corrects for endogenous stratification and truncation. We also incorporate a latent class structure into our panel specification, which assumes ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.