Showing 1 - 7 of 7
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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 that the observations are drawn from a finite number of segments, where the...
Persistent link: https://www.econbiz.de/10010610190
In this paper, we examine heterogeneity in the trip preferences of recreationists by applying a random parameters negative binomial model and a latent class negative binomial model to a panel data set of beach users at a site on the west coast of Ireland. This is the first such attempt in the...
Persistent link: https://www.econbiz.de/10010879097
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...
Persistent link: https://www.econbiz.de/10010879098
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...
Persistent link: https://www.econbiz.de/10010910121
Persistent link: https://www.econbiz.de/10009383287