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

Michelman (1994). "Heterogeneous Preferences and Aggregation in
Environmental Policy Analysis: A Landfill Siting Case." American
Journal of Agricultural Economics, 76(3):431-443.
In many studies of nonmarket resources, economists have data to
disaggregate results according to subpopulations within the full study
population. Disaggregated results can increase the usefulness of economic
analyses, improve public confidence in the results, and permit public
officials to assess equity concerns. We outline an approach to obtain
disaggregated results when characteristics of individuals may identify
distinct preferences. The approach is applied to public preferences regarding
landfill siting decisions. The discussion explores the implications of
disaggregated results for policy decisions, for bias in aggregate willingness
to pay estimates, and for nonmarket research methodologies.
Swartz, A. Nelson and Charles M. Adams (1979). "The Economics of
Rockport Bay Texas Shrimping Vessels." Report, DIR 79-1, SP-6
Department of Agricultural Economics, Texas A&M University,
August, 10 pp.
A cost and returns survey of Rockport, Texas shrimp fishermen that takes
into account seasonal variation in abundance. The fall season is much more
valuable to the shrimp fisherman than the spring season. However, a bay
vessel operator could not economically survive in the long run without the
spring season.
Sweeney, James L. (1977). "Economics of Depletable Resources: Market
Forces and Intertemporal Bias." Review of Economic Studies,
44:125-142.
This paper theoretically models the extraction patterns of a finite
depletable resource and systematically examines the effects of intertemporal
bias stemming from various market forces on depletion patterns.
Swierzbinski, Joseph (1985). "Statistical Methods Applicable to Selected
Problems in Fisheries Biology and Economics." Marine Resource
Economics, 1(3):209-233.
The methods by which fishery scientists estimate fish populations size
are reviewed. These include tagging, cohort analysis, random sampling and
catch per unit of effort indexes. Elementary statistical considerations are
introduced to discuss some of the properties of the methods. For example, we
model the effect of spatial patchiness on random sampling and the effect of
sample size on tagging estimates. Next, the Poisson, negative binomial, and
gamma distributions and their interrelations are discussed. In particular,
these three distribution form a do-it-yourself kit for making models of the
fisherman's catch per trip.
One policy tool suggested for fishery regulation is the auction of
licenses. Smiley has extended the bidding models of Wilson and Rothkopf and
applied them to empirical data on offshore oil lease bids. We discuss
Smiley's model, which could provide information about fishermen's expectations
and learning about abundance, if and when auction schemes are implemented for
fisheries. Finally, we review the application of logit estimation as a tool
for studying the discrete choice behavior of fishermen.
Swierzbinski, Joseph and Robert Mendelsohn (1989). "Exploration and
Exhaustible Resources: The Microfoundations of Aggregate Models."
International Economic Review, 30(1):175-186.
6 5 1