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

Gu, Guang and James L. Anderson (1995). "Deseasonalized State-Space
Time Series Forecasting with Application to the U.S. Salmon
Market." Marine Resource Economics, 10(2):171-185.
An approach that combines seasonality removal with a multivariate,
state-space, time series forecasting model is developed to provide short run
forecasts for the U.S. salmon market. Time series included in the model are:
U.S. fresh Atlantic salmon wholesale price index; fresh salmon (Atlantic,
coho, and chinook) monthly U.S. import quantities and prices; and U.S. chum
and sockeye salmon monthly export prices. Four versions of the state-space
forecasting model are compared in terms of their statistical performance
during out of sample forecasts. Out of sample 3, 6, and 12 month ahead
directional predictions are generated to test the models' performance in terms
of direction. Under identical modeling conditions, out of sample statistical
and directional tests indicate that deseasonalization improves the overall
performance of the state-space model. As a result, a linear, deseasonalized,
state-space forecasting model is selected to provide twelve monthly out of
sample forecasts for all series.
Gugliotta, Guy (1997). Fight Over Quotas Roils the Top of Food Chain.
Washington Post, Tuesday, June 3, page A17.
Newspaper article on the impact of a fifty percent reduction in total
allowable catch on the shark fishing fleet.
Guilkey, David K., C.A. Knox Lovell, and Robin C. Sickles (1983). "A
Comparison of the Performance of Three Flexible Functional Forms."
International Economic Review, 24(3):591-616.
This study continues and broadens the line of attack initiated by Wales
(1977) who used Monte Carlo techniques in a effort to determine the range of
data points over which translog and generalized Leontief forms provided
acceptable approximations to a two input linearly homogeneous CES technology.
At issue is the ability of estimating models derived from three flexible
functional forms to track a known technology over a range of observations.
The three flexible forms we consider are the translog, the generalized
Leontief, and the generalized Cobb-Douglas. The Monte Carlo experiments we
conduct are based on a known technology whose complexity (i.e., scale and
substitution structure) is permitted to vary across experiments, and on a data
base whose characteristics (i.e., range and correlation) are held fixed across
experiments.
Gulf and South Atlantic Fisheries Development Foundation, Inc. (1988).
"Seafood from the Gulf and South Atlantic States." Gulf and South
Atlantic Fisheries Development Foundation, Inc., Lincoln Center,
Suite 669, 5401 West Kennedy Boulevard, Tampa, Florida, November,
27 pp.
This packet of material provides facts and figures about the 1987
seafood products of the Gulf and south Atlantic states of Virginia, North
Carolina, South Carolina, Georgia, Florida, Alabama, Mississippi, Louisiana,
and Texas. This is an updated version of a packet originally based on 1984
data. To identify trends, the 1984 data is frequently referenced after
providing the 1987 data. Data on landings and value of catch, their relation
to the U.S. total, unique attributes of the region's species, the impact they
contribute to the nation's economy, and a discussion of the people producing
the products and the gear they use is included in the first section. Also
included is an overview of present and projected seafood consumption. This is
followed by a summary of the importance and characteristics of the seafood
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