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Searching for a Model of Multiple‐Site Recreation Demand that Admits Interior and Boundary Solutions
Author(s) -
Morey Edward R.,
Waldman Donald,
Assane Djeto,
Shaw Douglass
Publication year - 1995
Publication title -
american journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.949
H-Index - 111
eISSN - 1467-8276
pISSN - 0002-9092
DOI - 10.2307/1243895
Subject(s) - recreation , boundary (topology) , multinomial logistic regression , multinomial distribution , mathematics , norm (philosophy) , econometrics , set (abstract data type) , geography , mathematical economics , statistics , computer science , mathematical analysis , ecology , political science , law , biology , programming language
For most recreation demand data sets, different individuals visit different subsets of the available sites. Interior solutions (i.e, individuals who visit all recreational sites) are not the norm. Boundary solutions (i.e., individuals who do not participate, or who visit some, but not all, of the sites) predominate. We critique eight demand models in terms of their ability to accommodate boundary solutions. Three models are recommended for consideration when there are multiple sites and the data set includes a significant number of boundary solutions: a repeated nested‐logit model, a multinomial share model, and a Kuhn‐Tucker model.