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

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epresentative sample <strong>of</strong> experienced marine anglers with the characteristics<br />

<strong>of</strong> two other samples using multivariate and univariate analysis techniques.<br />

We conclude a sample <strong>of</strong> marine anglers drawn from the population <strong>of</strong> licensed<br />

inland anglers is not significantly different from the representative sample<br />

<strong>of</strong> experienced marine anglers.<br />

Teisl, Mario F., Brian Roe, and Robert L. Hicks (1997). Can Eco-Labels Tune<br />

a Market? Evidence form Dolphin-Safe Labeling. Draft, U.S. Food and<br />

Drug Administration, 200 C Street SW, Washington, DC, May, 18 pp.<br />

In this paper, the impact on consumers from the dolphin-safe labeling<br />

program are measured in two ways. First, a demand system for the canned<br />

protein market is estimated by using retail level data to identify whether<br />

dolphin-safe labels alter consumer purchases <strong>of</strong> tuna. Second, the estimated<br />

demand system is used to provide a lower bound on the welfare effects <strong>of</strong> the<br />

dolphin-safe labeling policy using the assumption that any shifts in demand<br />

resulting from the dolphin-safe labels would reflect a type <strong>of</strong> non-use value.<br />

Hypothetical approaches (e.g., contingent valuation) are commonly considered<br />

the only means <strong>of</strong> eliciting non-use values. However, dolphin-safe labeling<br />

policies would seem a case in which public non-use values for a resource could<br />

be deduced from observable behavior.<br />

Teisl, Mario F., Kevin J. Boyle, Daniel W. McCollum, and Stephen D. Reiling<br />

(1995). Test-Retest Reliability <strong>of</strong> Contingent Valuation with<br />

Independent Sample Pretest and Posttest Control Groups. American<br />

Journal <strong>of</strong> Agricultural Economics, 77(3):613-619.<br />

Test-retest, the standard method used to investigate reliability <strong>of</strong><br />

contingent valuation, is limited because when the time period between the two<br />

surveys is relatively short the study may exhibit testing recall. Conversely,<br />

when the time between the two surveys increases there is an increased chance<br />

the true value will change. The test-retest design cannot isolate these<br />

effects. Independent pretest and posttest control groups allow testing <strong>of</strong><br />

reliability even when recall occurs or the true value changes. Using this<br />

design, we found ex post estimates <strong>of</strong> Hicksian surplus are reliable regardless<br />

<strong>of</strong> whether respondents have direct experience with an activity.<br />

Temple, Robert F. (1973). "Shrimp Research at the Galveston Laboratory<br />

<strong>of</strong> the Gulf Coastal Fisheries Center." Marine Fisheries Review,<br />

35(3-4):16-20.<br />

A review <strong>of</strong> the history and present research responsibilities <strong>of</strong> the<br />

Galveston Laboratory.<br />

Terkla, David G.,Peter B. Doeringer, and Philip I. Moss (1988). Widespread<br />

Labor Stickiness in the New England Offshore Fishing Industry:<br />

Implications for Adjustment and Regulation. Land Economics, 64(1):73-<br />

82.<br />

Sticky labor and diverse labor adjustment processes are characteristic<br />

<strong>of</strong> the New England <strong>of</strong>fshore fishing industry that arose because <strong>of</strong> kinship<br />

institutions that now dominate both ports. They are further reinforced by<br />

more traditional sources <strong>of</strong> labor immobility - fishermen s ties to their local<br />

communities, the fragile economic structure <strong>of</strong> port economies, and the strong<br />

attachment <strong>of</strong> fishermen to their occupation. This argument is documented with<br />

a case study <strong>of</strong> two large and economically diversified ports, Gloucester and<br />

New Bedford, that account for around two-thirds <strong>of</strong> the total New England<br />

fishing industry catch and are home to the bulk <strong>of</strong> the <strong>of</strong>fshore fleet.<br />

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