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

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can be obtained easily through routine creel surveys. Our reconceptualization<br />

<strong>of</strong> OY is intended to shrift the content and focus <strong>of</strong> recreational fishery<br />

management plans toward evaluating and promoting diverse sociocultural<br />

benefits to anglers and communities.<br />

Manar, Thomas A. (ed.) (1973). "Shrimp '73 - A Billion Dollar<br />

Business." Marine Fisheries Review, March-April, 35(3-4):1-80.<br />

An issue <strong>of</strong> the journal devoted to a single topic; shrimp.<br />

Mangel, Marc and Richard E. Plant (1985). Regulatory Mechanisms and<br />

Information Processing in Uncertain Fisheries. Marine Resource<br />

Economics, 4(1):389-418.<br />

We study the effects on fisherman decision processes <strong>of</strong> periodic (e.g.,<br />

weekly) individual quotas. In the model, the fisherman must choose at the<br />

start <strong>of</strong> each week on which <strong>of</strong> two grounds to fish. The catch per week on<br />

each ground is a random variable and the fisherman does not know with<br />

certainty the parameters <strong>of</strong> the distribution <strong>of</strong> that variable. He does have<br />

estimates on each parameter and can improve these estimates by Bayesian<br />

updating. The choice <strong>of</strong> a fishing ground takes into account the expected<br />

catch on that ground and the expected improvement in information from fishing<br />

on that ground. Our study is concerned with the effect <strong>of</strong> weekly quotas on<br />

the joint production <strong>of</strong> information and fish. Various policy implications are<br />

discussed, and the results are compared with the policy analysis <strong>of</strong> Clark<br />

(1980) in the deterministic case. We know that the quota affects the value <strong>of</strong><br />

information and that if quotas are transferable, then the quota may limit its<br />

own value.<br />

Manooch, Charles S. III, Steven P. Naughton, Churchill B. Grimes, and<br />

Lee Trent (1987). "Age and Growth <strong>of</strong> King Mackerel, Scomberomorus<br />

cavalla, From the U.S. Gulf <strong>of</strong> Mexico." Marine Fisheries Review,<br />

49(2):102-108.<br />

An age and growth study <strong>of</strong> king mackerel in the Gulf <strong>of</strong> Mexico from Key<br />

West to the Yucatan Peninsula, Mexico from 1980 through 1985. Von Bertalanffy<br />

growth equations are estimated for male, female, and both sexes combined. Age<br />

at recruitment to commercial and recreational <strong>fisheries</strong> <strong>of</strong>f various states is<br />

reported. Total instantaneous mortality estimates are given that show that<br />

female rates are lower than rates for males.<br />

Manski, Charles F. and Daniel McFadden (eds.) (1981). Structural<br />

Analysis <strong>of</strong> Discrete Data with Econometric Applications. The MIT<br />

Press, Cambridge, Massachusetts.<br />

This volume deals with parametric statistical inference on structural<br />

conditional probability models in which some or all <strong>of</strong> the endogenous<br />

variables are discrete valued. Taken together, these chapters provide a<br />

methodological foundation for the analysis <strong>of</strong> economic problems involving<br />

discrete data and chart the current frontiers <strong>of</strong> this subject.<br />

Manski, Charles F. (1991). "Regression." Journal <strong>of</strong> Economic Literature,<br />

29(March):34-50.<br />

This article exposits the achievements and concerns <strong>of</strong> the rich modern<br />

<strong>literature</strong> on the estimation <strong>of</strong> regressions. to keep the discussion within<br />

bounds, I restrict attention to the case in which y is scaler and focus on<br />

those regressions that provide best predictors <strong>of</strong> y conditional on x. This<br />

class <strong>of</strong> regressions is easily described and covers the majority <strong>of</strong><br />

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