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

By clipping the adipose fin on young hatchery salmon, the fish can be
clearly identified and ensure the escapement of wild stocks that are declining
and threatened at a cost of $4 million for the Coho stock alone.
Gronau, Reuben (1974). "Wage Comparisons - A Selectivity Bias." The
Journal of Political Economy, 82:1119-1143.
The wage rate a person receives depends not only on the wage offered (a
function of his market characteristics), but also on his job-search strategy.
The higher his wage demands, the higher the wage he can expect, though the
probability of finding an adequate job is lower. When comparing wages of
different population groups, one must take their different search policies
into account. Ignoring these differences results in a selectivity bias. This
bias is particularly relevant for the secondary labor groups; it may distort
our conclusions about male-female and white-nonwhite wage differentials, the
age-earning profiles, the rate of return and the rate of depreciation of human
capital, and the determinants of labor-force participation.
Gross, George B. (1973). "Shrimp Industry of Central America, Caribbean
Sea, and Northern South America." Marine Fisheries Review, 35(3-
4):36-55.
This report reviews the shrimp fishery of South and Central America and
the Caribbean on a country by country basis for 1961 to 1971. The ten year
trend in pounds and value are discussed, the activities of major harvesters
are summarized, and a description of each fishery is provided.
Groth, Philip (1980). "The Socio-Demographic Characteristics of the
Shrimp Fishing Community in South Central Louisiana." A report of
continued work on socio-demographic aspects of the "Shrimp Mark-
Recapture Study," NMFS, NOAA, Contract Number 03-7-042-35132, May,
pp. 87.
This report summarizes the demographic characteristics of residents of a
three parish shrimp community of south central Louisiana.
Gu, Guang and James L. Anderson (1994). "Deseasonalized State-Space
Time Series Forecasting with Application to the U.S. Salmon
Market." RI-94-101, URI/OSU Research Paper Series, A USDA
Cooperative State Research Service Joint Research Project between
the University of Rhode Island and Oregon State University,
University of Rhode Island, Kingston, Rhode Island, November, 22
pp.
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.
2 5 5