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

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individuals who visit all recreational sites) are not the norm. Boundary<br />

solutions (i.e., individuals who do not participate, or who visit some, but<br />

not all, <strong>of</strong> the sites) predominate. We critique eight demand models in terms<br />

<strong>of</strong> their ability to accommodate boundary solutions. Three models are<br />

recommended for consideration when there are multiple sites and the data set<br />

includes a significant number <strong>of</strong> boundary solutions: a repeated nested-logit<br />

model, a multinomial share model, and a Kuhn-Tucker model.<br />

Morrison, Catherine J. (1985). On the Economic Interpretation and<br />

Measurement <strong>of</strong> Optimal Capacity Utilization with Anticipatory<br />

Expectations. Review <strong>of</strong> Economic Studies, 52(169): 295-310.<br />

This study builds on recent research giving the notion <strong>of</strong> capacity<br />

utilization clearer economic foundations. In this research optimal output Y*<br />

is defined as the minimum point on the firm s short run average total cost<br />

curve, and capacity utilization is then computed as CU = Y/Y*, where Y is<br />

actual output. Here I extend these concepts to include adjustment costs due<br />

to changes in the stock <strong>of</strong> capital, and nonstatic expectations <strong>of</strong> future<br />

output demand and input prices. The more general notion <strong>of</strong> CU is shown to<br />

depend on the shadow values <strong>of</strong> the firm s quasi-fixed inputs, and is<br />

decomposed to isolate the effects <strong>of</strong> anticipatory expectations. An empirical<br />

comparison is then made between traditional indices and alternative economic<br />

CU measures, using annual U.S. manufacturing data 1954 - 1980. The calculated<br />

indices exhibit plausible patterns, which can be interpreted as the effects <strong>of</strong><br />

nonstatic expectations and adjustment costs.<br />

Morrison, N.A., D.H. King, M.L. Quinto, and N.B. Webb (19??). "Effect<br />

<strong>of</strong> Various Additives and Temperature Applications on the Texture<br />

<strong>of</strong> Shrimp." Draft Chapter IV.<br />

The main objective <strong>of</strong> this investigation was to determine the influence<br />

<strong>of</strong> cooking, PH, and frozen storage on the texture <strong>of</strong> shrimp.<br />

Moss, Charles B., Gretchen Greene, and Eric Thunberg (1994).<br />

"Estimation <strong>of</strong> Recreational Anglers' Value <strong>of</strong> Reef-Fish in the<br />

Gulf <strong>of</strong> Mexico." Draft report, Department <strong>of</strong> Food and Resource<br />

Economics, University <strong>of</strong> Florida, Gainesville, FL.<br />

Several public policy issues in the Gulf <strong>of</strong> Mexico region involve the<br />

value <strong>of</strong> the reef fish recreational fishery. This study estimates the<br />

economic impact <strong>of</strong> this fishery using a travel cost procedure. The results<br />

indicate that the fishery generates $460 million within the state <strong>of</strong> Florida.<br />

Motulsky, Harvey J. and Lennart A. Ransnas (1987). "Fitting Curves to<br />

data Using Nonlinear Regression: A Practical and Nonmathematical<br />

Review." FASEB J., 1:365-374.<br />

Many types <strong>of</strong> data are best analyzed by fitting a curve using nonlinear<br />

regression, and computer programs that perform these calculations are readily<br />

available. Like every scientific technique, however, a nonlinear regression<br />

program can produce misleading results when used inappropriately. This<br />

article reviews the use <strong>of</strong> nonlinear regression in a practical and<br />

nonmathematical manner. The review is designed to demystify nonlinear<br />

regression so that both its power and its limitations will be appreciated.<br />

Moussavian, Mohammed and Larry Samuelson (1984). "On the Extraction <strong>of</strong><br />

an Exhaustible Resource by a Monopoly." Journal <strong>of</strong> Environmental<br />

Economics and Management, 11(2):139-146.<br />

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