Zero-truncated panel Poisson mixture models: Estimating the impact on tourism benefits in Fukushima Prefecture. (1st April 2018)

• Record Type: Journal Article
• Authors: Narukawa, Masaki; Nohara, Katsuhito
• Is Part Of: Journal of environmental management. Volume 211(2018)
• Page Start: 238
• Page End: 246
• Publication Date: 2018-04-01
• Subjects: Contingent behavior -- Count data model -- Inverse Gaussian distribution -- Random-effects model -- Travel cost method -- Zero truncation; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2017.12.082
• Languages: English
• ISSNs: 0301-4797

Abstract

Abstract: This study proposes an estimation approach to panel count data, truncated at zero, in order to apply a contingent behavior travel cost method to revealed and stated preference data collected via a web-based survey. We develop zero-truncated panel Poisson mixture models by focusing on respondents who visited a site. In addition, we introduce an inverse Gaussian distribution to unobserved individual heterogeneity as an alternative to a popular gamma distribution, making it possible to capture effectively the long tail typically observed in trip data. We apply the proposed method to estimate the impact on tourism benefits in Fukushima Prefecture as a result of the Fukushima Nuclear Power Plant No. 1 accident. Highlights: A panel model approach to a travel cost method via a web-based survey is proposed. We apply an inverse Gaussian distribution to unobserved individual heterogeneity. We analyze the impact on tourism benefits in Fukushima Prefecture. The inverse Gaussian distribution approach will work better in long-tailed data.