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.
| Original language | English |
|---|---|
| Pages (from-to) | 238-246 |
| Number of pages | 9 |
| Journal | Journal of Environmental Management |
| Volume | 211 |
| DOIs | |
| Publication status | Published - Apr 1 2018 |
Fingerprint
Keywords
- Contingent behavior
- Count data model
- Inverse Gaussian distribution
- Random-effects model
- Travel cost method
- Zero truncation
ASJC Scopus subject areas
- Environmental Engineering
- Waste Management and Disposal
- Management, Monitoring, Policy and Law
Cite this
Zero-truncated panel Poisson mixture models : Estimating the impact on tourism benefits in Fukushima Prefecture. / Narukawa, Masaki; Nohara, Katsuhito.
In: Journal of Environmental Management, Vol. 211, 01.04.2018, p. 238-246.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Zero-truncated panel Poisson mixture models
T2 - Estimating the impact on tourism benefits in Fukushima Prefecture
AU - Narukawa, Masaki
AU - Nohara, Katsuhito
PY - 2018/4/1
Y1 - 2018/4/1
N2 - 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.
AB - 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.
KW - Contingent behavior
KW - Count data model
KW - Inverse Gaussian distribution
KW - Random-effects model
KW - Travel cost method
KW - Zero truncation
UR - http://www.scopus.com/inward/record.url?scp=85041555251&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85041555251&partnerID=8YFLogxK
U2 - 10.1016/j.jenvman.2017.12.082
DO - 10.1016/j.jenvman.2017.12.082
M3 - Article
C2 - 29408072
AN - SCOPUS:85041555251
VL - 211
SP - 238
EP - 246
JO - Journal of Environmental Management
JF - Journal of Environmental Management
SN - 0301-4797
ER -