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

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Agricultural Economics, 69(2):293-302.<br />

In this paper, a theoretically consistent approach to including time<br />

costs in recreational demand models is developed. The demand model is<br />

conditional on the recreationist's labor market situation. For individuals at<br />

corner solutions in the labor market, utility maximization is subject to two<br />

constraints, leading to a demand function with travel costs and travel time as<br />

independent variables. With interior solutions in the labor market, time is<br />

valued at the wage rate and combined with travel costs to produce one "full<br />

cost" variable. In an illustration, welfare measures based on the new model<br />

are estimated for a sample <strong>of</strong> sportfishermen.<br />

Bockstael, N.E., W. Michael Hanemann, and Catherine L. Kling (198?). "A<br />

Survey <strong>of</strong> Models <strong>of</strong> Recreation Demand in a Multiple Site<br />

Framework." Draft report, Department <strong>of</strong> Agricultural Economics,<br />

University <strong>of</strong> Maryland, College Park, MD.<br />

A topic that has received particular attention in the recreational<br />

demand modeling <strong>literature</strong> is the modeling <strong>of</strong> the demand for systems <strong>of</strong><br />

alternative sites, as compared with the more traditional single site modeling<br />

approaches. The multiple site models are frequently complex, diverging from<br />

simple intuitive extensions <strong>of</strong> the single site model. They are also diverse,<br />

and this together with their complexity makes assessment and comparison <strong>of</strong><br />

models and results difficult. While problems in the theory and application <strong>of</strong><br />

single site models remain, most practitioners understand these models and<br />

their inherent problems and can apply them with a cautious confidence. In<br />

contrast, multiple site models are difficult to sort out, to interpret, and to<br />

estimate.<br />

In this paper, we first explore the reasons why multiple site models<br />

have been developed and outline a number <strong>of</strong> the approaches which have been<br />

used. We then asses these models with a specific criteria in mind: how well<br />

do they account for the specific nature <strong>of</strong> benefit changes in a multiple site<br />

framework? Using a common data set, we demonstrate a few <strong>of</strong> the estimation<br />

techniques.<br />

Bockstael, N.E., K.E. McConnell, I.E. Strand (1989). "Measuring the<br />

Benefits <strong>of</strong> Improvements in Water Quality: The Chesapeake Bay."<br />

Marine Resource Economics, 6(1):1-18.<br />

Federal, state, and local government agencies have joined forces in the<br />

ambitious and expensive task <strong>of</strong> improving the water quality <strong>of</strong> the Chesapeake<br />

Bay. Clean up efforts will be devoted to three major problems: nutrient over<br />

enrichment, toxic substances, and the decline <strong>of</strong> submerged aquatic vegetation.<br />

Although the beneficiaries are ultimately human, criteria for judging the<br />

Bay's water quality have been primarily biological and physical. This paper<br />

addresses the question <strong>of</strong> the human values from the Bay. How do people use<br />

the Bay and how much are they willing to pay for the changes in water quality<br />

that improve their use: With a variety <strong>of</strong> methods and data sources, we<br />

estimate the annual aggregate willingness to pay for a moderate improvement in<br />

the Chesapeake Bay's water quality to be in the range <strong>of</strong> $10 to $100 million<br />

in 1984 dollars.<br />

Bockstael, N.E., K.E. McConnell, I.E. Strand (1989). "A Random Utility<br />

Model for Sportfishing: Some Preliminary Results for Florida."<br />

Marine Resource Economics, 6(3):245-260.<br />

The gray <strong>literature</strong> in the field <strong>of</strong> nonmarket benefit measurement has<br />

made extensive use <strong>of</strong> the random utility (or discrete choice) model in recent<br />

years, but few applications appear in the <strong>literature</strong>. This article provides<br />

7 6

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