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Stochastic Production and Heterogeneous Risk Preferences: Commercial Fishers’ Gear Choices

Håkan Eggert () and Ragnar Tveterås ()

No 54, Working Papers in Economics from University of Gothenburg, Department of Economics

Abstract: As long as total effort cannot be completely controlled, a more thorough understanding of fishers’ supply response decisions will be beneficial for fishery managers. In this paper, we present a model of fishers’ gear choice, which is empirically estimated on a panel of Swedish demersal trawlers. The approach allows for heterogeneity both in production technology and in risk preferences. Stochastic revenue functions with fixed effects are estimated and used to predict expected revenue and standard deviation for each trip. We employ a linear utility function in the mean-standard deviation framework and then analyze the gear choices, using the predicted values together with vessel capacity and lagged variables for the previous trip in a random parameters-logit model, which allows for heterogeneous risk preferences. The results indicate that fishers have a strong tendency to choose the same gear used on the previous trip, while in general they react to changes in economic and biological conditions by responding positively to increases in expected landing values and negatively to increases in the variability of the expected landing values, indicating risk aversion.

Keywords: Risk preferences; two-moment decision models; Just-Pope production function; random-parameters logit; Swedish fisheries (search for similar items in EconPapers)
JEL-codes: D81 Q22 (search for similar items in EconPapers)
Pages: 21 pages
Date: 2001-09-05
New Economics Papers: this item is included in nep-eff
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Forthcoming in American Journal of Agricultural Economics.

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Related works:
Journal Article: Stochastic Production and Heterogeneous Risk Preferences: Commercial Fishers' Gear Choices (2004) Downloads
Working Paper: STOCHASTIC PRODUCTION AND HETEROGENEOUS RISK PREFERENCES: COMMERCIAL FISHERS' GEAR CHOICE (2001) Downloads
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