annotated bibliography of fisheries economics literature - Office of ...

commercial fisheries. Larkin's first law is "People go sport fishing so that
they can tell fish stories." This paper will accept this "Law" and examine
what information is needed, what the modes of communication are and, more
importantly, the role of this information in marine recreational fisheries
development which will allow for the best fish stories to be told.
Moore, Charles J. and Charles H. Farmer, III (1981). "An Angler s Guide
to South Carolina Sharks." Recreational Fisheries, Office of
Conservation, Management and Marketing, South Carolina Wildlife
and Marine Resources Department, P.O. Box 12559, Charleston, South
Carolina, May, 65 pp.
A guide for the sportsman and general reference to sharks taken in South
Carolina waters.
Morey, Edward R. (1981). "The Demand for Site-Specific Recreational
Activities: A Characteristics Approach." Journal of Environmental
Economics and Management, 8:345-371.
A model of constrained utility maximizing behavior is developed to
explain how a representative individual allocates his ski days among
alternative sites. The physical characteristics of the ski areas and the
individual's skiing ability are explicit arguments in the utility function;
the budget allocation is given along with the parametric costs to ski
(including travel costs, entrance fees, equipment costs, and the opportunity
cost of his time). Shares (a site's share being the proportion of ski days
that the individual spends at that site) are derived and assumed multinomially
distributed, a stochastic specification that maintains the inherent properties
of the shares. Maximum likelihood estimation confirms the basic hypothesis
that costs, ability, and characteristics all are important determinants of the
sites' shares. The model explains a large proportion of the skier's
allocation of ski days. A multinomial logit model of skier behavior is also
developed and maximum likelihood estimates of its parameters are obtained.
Examination of the summary statistics from my model and the logit model
indicates that my model predicts the skier's choice of sites better than the
logit model.
Morey, Edward R. (1984). "The Choice of Ski Areas: Estimation of a
Generalized CES Preference Ordering with Characteristics." The
Review of Economics and Statistics, ??: 584-590.
A generalized CES (GENCES) preference ordering is developed and
estimated. It incorporates characteristics of both the individual and the
activities. The GENCES is used to explain the share of ski time an individual
allocates to each ski area as a function of site characteristics, skiing
ability, and costs. The stochastic specification limited the shares to the 0-
1 simplex. This specification was found to be more appropriate than the
conventional normality assumption. The null hypothesis that preferences are
homothetic and additive is rejected. Characteristics, ability, and costs are
important determinants of demand. The estimated elasticities provide numerous
insights into skier behavior.
Morey, Edward R., Donald Waldman, Djeto Assane, and Douglass Shaw
(1995). "Searching for a Model of Multiple-Site Recreation Demand
that Admits Interior and Boundary Solutions." American Journal of
Agricultural Economics, 77(!): 129-140.
For most recreation demand data sets, different individuals visit
different subsets of the available sites. Interior solutions (i.e.,
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