AgEcon Search

AgEcon Search >
       Marine Resource Economics >
          Volume 01, Number 3, 1985 >

Please use this identifier to cite or link to this item: http://purl.umn.edu/47530

Title: Statistical Methods Applicable to Selected Problems in Fisheries Biology and Economics
Authors: Swierzbinski, Joseph
Issue Date: 1985
Series/Report no.: Marine Resource Economics
Vol. 1. No. 3
Abstract: The methods by which fishery scientists estimate fish population 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 distributions 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.
URI: http://purl.umn.edu/47530
Identifiers: 0738-1360
Institution/Association: Marine Resource Economics>Volume 01, Number 3, 1985
Total Pages: 25
From Page: 209
To Page: 233
Collections:Volume 01, Number 3, 1985

Files in This Item:

File Description SizeFormat
8175637.pdf1150KbPDFView/Open
Recommend this item

All items in AgEcon Search are protected by copyright.

 

 

Brought to you by the University of Minnesota Department of Applied Economics and the University of Minnesota Libraries with cooperation from the Agricultural and Applied Economics Association.

All papers are in Acrobat (.pdf) format. Get Adobe Reader

Contact Us

Powered by: