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• W2081014255 abstract "The purpose of this paper is to consider the problem of controlling for on-site sampling in the context of a system (or panel) of demand equations. Specifically, in the context of recreation demand, we are concerned with the situation in which survey respondents are asked to provide information not only about the actual trips to a specific site (observed behavior), but also their anticipated trips (either under current conditions or given price and quality changes). A Multivariate Poisson-log normal (MPLN) model and a seemingly unrelated negative binomial (SUNB) model are used to jointly model the observed and contingent behavior data and to correct for on-site sampling." @default.
• W2081014255 created "2016-06-24" @default.
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• W2081014255 creator A5058137453 @default.
• W2081014255 date "2006-09-01" @default.
• W2081014255 modified "2023-09-23" @default.
• W2081014255 title "Multivariate count data regression models with individual panel data from an on-site sample" @default.
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• W2081014255 doi "https://doi.org/10.1016/j.jeem.2006.03.002" @default.
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