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
N1 - Funding Information:
The authors would like to thank anonymous referees for many helpful and insightful comments, which led to substantial improvement of the manuscript. This research was supported by the Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Young Scientists (B) (Grant Number 25870649, 17K18038).
Funding Information:
The authors would like to thank anonymous referees for many helpful and insightful comments, which led to substantial improvement of the manuscript. This research was supported by the Japan Society for the Promotion of Science ( JSPS ), Grant-in-Aid for Young Scientists (B) (Grant Number 25870649 , 17K18038 ).
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
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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 -