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

Caillouet, Charles W., Jr., Marcel J. Duronslet, Andre M. Landry, Jr.,
Dickie B. Revera, Donna J. Shaver, Kerry M. Stanley, Erich K.
Stabenau, and Robert W. Heinly (1990). "Sea Turtle Strandings and
Shrimping Effort in the Northwestern Gulf of Mexico, 1986-1989."
Draft report, National Marine Fisheries Service, Galveston
Laboratory, Galveston, Texas 77551-5997.
The purpose of this paper was an examination of sea turtle strandings
and shrimping effort in the northwestern Gulf of Mexico during 1986-1989 to
determine the relationship if any between them. The study confuses
correlation with causation.
Caillouet, Charles W., Jr., Marcel J. Duronslet, Andre M. Landry, Jr.,
Dickie B. Revera, Donna J. Shaver, Kerry M. Stanley, Robert W.
Heinly, and Erich K. Stabenau (1991). "Sea Turtle Strandings and
Shrimp Fishing Effort in the Northwestern Gulf of Mexico, 1986-
1989." Fishery Bulletin, 89(4):712-718.
Incidental capture of sea turtles in shrimp trawls is the most important
human cause of sea turtle mortality. In this study, a product-moment
correlation analysis to test the null hypothesis that there was no
relationship between monthly sea turtle strandings and shrimp fishing effort
on the northwestern Gulf of Mexico coast during 1986-89. A positive,
statistically significant result was found causing the null hypothesis to be
rejected. Several caveats to the analysis are cited including the effects of
wind, waves, tides, and scavengers on the stranding levels of turtles. These
caveats tend to reduce the implied causation that shrimp fishing effort levels
affects turtle stranding levels.
Cameron, Trudy Ann (1988). "A New Paradigm for Valuing Non-market Goods
Using Referendum Data: Maximum Likelihood Estimation by Censored
Logistic Regression." Journal of Environmental Economics and
Management, 15:355-379.
This paper challenges the W.M. Hanemann (1984) and C. Sellar, J.P.
Chavas, and J.R. Stoll (1986) utilizations of logit models to estimate the
value of nonmarket resources from "referendum" survey data. These data are
more informative than conventional choice data. The "random utility"
interpretation of logit models is therefore too restrictive. Bypassing the
utility function entirely, it will be shown that parameters and standard
errors for utility-theoretic inverse Hicksian demand functions can be
extracted directly and much more simply. Estimated demand functions need not
be limited to those corresponding to the linear in parameters utility
difference specification that can be handled by packaged logit programs.
Cameron, Trudy Ann (1992). "Combining Contingent Valuation and Travel
Cost Data for the Valuation of Nonmarket Goods. Land Economics,
68(3):302-317.
The travel cost method (TCM) has long been used to infer the economic
value of nonmarket resources and public goods. More recently, contingent
valuation (CVM) survey methods have gained popularity for eliciting these
values. Here, CVM survey responses are combined with TCM data on actual
market behavior to estimate jointly both the parameters of the underlying
utility function and its corresponding ordinary demand function. This is a
prototypical empirical example of a new modeling strategy, variants of which
should provide useful in many applications, especially where reliance on a
single valuation method is undesirable.
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