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

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January <strong>of</strong> the 1994 fishing year (January, 1995) were not available at the<br />

time this analysis was undertaken.<br />

Vaughan, Douglas S., John V. Merriner, Charles S. Manooch III, and<br />

Jennifer Potts (1996). "Assessment <strong>of</strong> Southeastern U.S. Atlantic<br />

Wreckfish Stock for Fishing Years 1988-1995." Report for Snapper<br />

Grouper Assessment Group, South Atlantic Fishery Management<br />

Council, National Marine Fisheries Service, Southeast Fisheries<br />

Science Center, Beaufort Laboratory, 101 Pivers Island Road,<br />

Beaufort, North Carolina, January, 35 pp.<br />

The material included in this report updates that provided in the<br />

February 1995 report (Vaughan it al., 1995) to the South Atlantic Fishery<br />

Management Council's (SAFMC) Snapper Grouper Assessment Group. Included are<br />

the latest analysis <strong>of</strong> length at age data, a summary <strong>of</strong> landings and length<br />

frequency data from the fishery for 1988 through 1995 fishing years,<br />

application <strong>of</strong> separable virtual population analysis to two catch at age<br />

matrices, and analysis <strong>of</strong> yield and spawning stock biomass per recruit.<br />

Complete landings for January <strong>of</strong> the 1995 fishing year (January, 1996) were<br />

not available at the time this analysis was undertaken.<br />

hood methods (Kmenta, 1971).<br />

Vaughan, William J. and Clifford S. Russell (1982). "Valuing a Fishing<br />

Day: An Application <strong>of</strong> a Systematic Varying Parameter Model."<br />

Land Economics, 58(4):450-463.<br />

The objective <strong>of</strong> this study is to estimate the value in average<br />

willingness to pay terms <strong>of</strong> a day <strong>of</strong> freshwater recreational fishing<br />

differentiated by fish species sought. The approach employed involves the<br />

estimation <strong>of</strong> a varying parameter travel cost model from cross sectional data<br />

on fee fishing sites. This refinement <strong>of</strong> the traditional travel cost model<br />

attempts to account for the influence <strong>of</strong> site characteristics - especially the<br />

fish species available for capture - on the demand function for fishing days.<br />

Vaughan, William J., Clifford S. Russell, and Michael Hazilla (1982).<br />

"A Note on the Use <strong>of</strong> Travel Cost Models with Unequal Zonal<br />

Populations: Comment." Land Economics, 58(3):400-407.<br />

In this comment, we show, using data from Bowes and Loomis (1980), that<br />

misspecification <strong>of</strong> functional form can produce distorted estimates <strong>of</strong><br />

consumers' surplus and commensurate errors in estimates <strong>of</strong> site value.<br />

Further, we suggest that estimating a linear visitation-travel cost<br />

relationship when the true relationship is nonlinear can produce variance in<br />

the residuals that could be erroneously diagnosed as heteroskedasticity if<br />

either a constructive (Park, 1966) test is applied to the OLS residuals or if<br />

the heteroskedasticity parameter is estimated directly using maximum<br />

likeli(1981). "Research Priorities in the Gulf Shrimp Industry." Mississippi<br />

State University, Mississippi Cooperative Extension Service, Sea Grant<br />

Advisory Services, 4646 W. Beach Blvd., Suite 1-E, Biloxi, MS 39531.<br />

Nominal grouping is used to arrive at a list <strong>of</strong> priorities and a<br />

consensus <strong>of</strong> their importance. The ten items that were considered to be most<br />

important are (1) high cost <strong>of</strong> fuel, (2) market research to increase per<br />

capita consumption, (3) research on the impact <strong>of</strong> foreign shrimp imports and<br />

alternative solutions to minimize this impact, (4) excessive governmental<br />

regulation, (5) research on the impact <strong>of</strong> uniform conservation laws for all<br />

national and international <strong>fisheries</strong>, (6) pollution <strong>of</strong> estuaries, (7)<br />

increased utilization <strong>of</strong> bycatch, (8) loss <strong>of</strong> the fishing area (Texas<br />

closure), (9) the impact <strong>of</strong> high interest rates on vessels and inventory, and<br />

6 8 8

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