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

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Analysis." Proceedings <strong>of</strong> a Regional Workshop sponsored by the<br />

Southern Natural Resource Economics Committee, May, 40 pp.<br />

Copies <strong>of</strong> papers presented at a symposium on marine fishery allocation<br />

decisions are contained in this report.<br />

Milon, J.W. (1988). "Modeling Site and Quality Substitution Effects in<br />

Sport Fishing Demand Models." Draft Report, Food and Resource<br />

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

Alternative sport fishing demand models are evaluated in terms <strong>of</strong> their<br />

statistical performance and the derived welfare estimates for changes in<br />

recreational catch rates for king mackerel. This analysis permits an<br />

examination <strong>of</strong> the possible errors that can occur due to different behavioral<br />

models <strong>of</strong> sport fishing demand and estimation procedures. The results <strong>of</strong> this<br />

analysis provide information to policy analysts and decision-makers about the<br />

performance <strong>of</strong> alternative economic demand models using Marine Recreational<br />

Fishing Statistics Intercept Survey (MRFSIS) data and the derived measures <strong>of</strong><br />

welfare change from these models for possible changes in king mackerel catch<br />

rates.<br />

Milon, J.W. (1988). "A Nested Demand Shares Model <strong>of</strong> Artificial Marine<br />

Habitat Choice by Sport Anglers." Marine Resource Economics,<br />

5(3):191-214.<br />

There is a growing public interest in the development <strong>of</strong> artificial<br />

habitats to enhance and diversify coastal marine resources for recreational<br />

and commercial uses. In this paper, a hierarchical discrete choice model <strong>of</strong><br />

recreational demand for artificial habitat is presented using a nested<br />

multinomial logit analysis <strong>of</strong> artificial and natural habitat site choice by<br />

sport anglers. The model can be used to evaluate the effects <strong>of</strong> site<br />

characteristics and socioeconomic attributes <strong>of</strong> individual sport anglers on<br />

the share allocation <strong>of</strong> marine fishing trips and to estimate the economic<br />

benefits <strong>of</strong> new artificial habitat. An empirical application using survey<br />

data from sport anglers in southeast Florida is reported. The model<br />

parameters are used to estimate the expected use benefits and distributional<br />

implications <strong>of</strong> alternative new artificial habitat sites. Extensions and<br />

limitations <strong>of</strong> the model for artificial habitat planning are considered.<br />

Milon, J.W. (1988). "Travel Cost Methods for Estimating the<br />

Recreational Use Benefits <strong>of</strong> Artificial Marine Habitat." Draft<br />

report, forthcoming in South. J. Agric. Econ..<br />

The growing popularity <strong>of</strong> marine recreational fishing has created<br />

considerable interest in artificial marine habitat development to maintain and<br />

enhance coastal fishery stocks. This paper provides a comparative evaluation<br />

<strong>of</strong> travel cost methods to estimate recreational use benefits for new habitat<br />

site planning. Theoretical concerns about price and quality effects <strong>of</strong><br />

substitute sites, corner solutions in site choice, and econometric estimation<br />

are considered. Results from a case study indicated that benefit estimates<br />

are influenced by the way these concerns are addressed but relatively simple<br />

single site models can provide defensible estimates. Practical limitations on<br />

data collection and model estimation are also considered.<br />

Milon, J.W. (1989). "Estimating Recreational Angler Participation and<br />

Economic Impact in the Gulf <strong>of</strong> Mexico Mackerel Fishery." Marfin<br />

Contract No. NA86WC-H-06116.<br />

This study uses the Marine Recreational Fisheries Statistics Survey to<br />

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