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

  • Eggert, Håkan

    ()

    (Department of Economics, School of Economics and Commercial Law, Göteborg University)

  • Tveterås, Ragnar

    ()

    (Stavanger University College, Department of Business Administration,)

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.

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Paper provided by University of Gothenburg, Department of Economics in its series Working Papers in Economics with number 54.

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Length: 21 pages
Date of creation: 05 Sep 2001
Date of revision:
Publication status: Forthcoming in American Journal of Agricultural Economics.
Handle: RePEc:hhs:gunwpe:0054
Contact details of provider: Postal: Department of Economics, School of Business, Economics and Law, University of Gothenburg, Box 640, SE 405 30 GÖTEBORG, Sweden
Phone: 031-773 10 00
Web page: http://www.handels.gu.se/econ/

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  1. Chintagunta, Pradeep & Kyriazidou, Ekaterini & Perktold, Josef, 2001. "Panel data analysis of household brand choices," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 111-153, July.
  2. Meyer, Jack, 1987. "Two-moment Decision Models and Expected Utility Maximization," American Economic Review, American Economic Association, vol. 77(3), pages 421-30, June.
  3. Bar-Shira, Ziv & Finkelshtain, Israel, 1999. "Two-moments decision models and utility-representable preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 38(2), pages 237-244, February.
  4. Harvey, A C, 1976. "Estimating Regression Models with Multiplicative Heteroscedasticity," Econometrica, Econometric Society, vol. 44(3), pages 461-65, May.
  5. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
  6. Daniel S. Holland & Jon G. Sutinen, 2000. "Location Choice in New England Trawl Fisheries: Old Habits Die Hard," Land Economics, University of Wisconsin Press, vol. 76(1), pages 133-149.
  7. Sinn, Hans-Werner, 1989. "Two-Moment Decision Models and Expected Utility Maximization: Comment," American Economic Review, American Economic Association, vol. 79(3), pages 601-02, June.
  8. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
  9. Johan A. Mistiaen & Ivar E. Strand, 2000. "Location Choice of Commercial Fishermen with Heterogeneous Risk Preferences," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(5), pages 1184-1190.
  10. Bockstael, Nancy E. & Opaluch, James J., 1983. "Discrete modelling of supply response under uncertainty: The case of the fishery," Journal of Environmental Economics and Management, Elsevier, vol. 10(2), pages 125-137, June.
  11. Herriges, Joseph A. & Kling, Catherine L., 1999. "Valuing Recreation and the Environment: Revealed Preference Methods in Theory and Practice, New Horizons in Environmental Economics," Staff General Research Papers 12330, Iowa State University, Department of Economics.
  12. Barry T. Coyle, 1999. "Risk Aversion and Yield Uncertainty in Duality Models of Production: A Mean-Variance Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 553-567.
  13. Dupont, D.P., 1993. "Price Uncertainty,Expectations Formation and Fishers' Allocation Choice," Working Papers 1993-1, Brock University, Department of Economics.
  14. Sean Pascoe & Louisa Coglan, 2002. "The Contribution of Unmeasurable Inputs to Fisheries Production: An Analysis of Technical Efficiency of Fishing Vessels in the English Channel," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 585-597.
  15. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
  16. Eggert, Håkan, 2001. "Technical efficiency in the Swedish trawl fishery for Norway lobster," Working Papers in Economics 53, University of Gothenburg, Department of Economics.
  17. Levy, Haim, 1989. "Two-Moment Decision Models and Expected Utility Maximization: Comment," American Economic Review, American Economic Association, vol. 79(3), pages 597-600, June.
  18. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, vol. 68(4), pages 839-874, July.
  19. Smith, Vernon L, 1971. "Economics of Production from Natural Resources: Reply," American Economic Review, American Economic Association, vol. 61(3), pages 488-91, June.
  20. Weitzman, Martin L., 2002. "Landing Fees vs Harvest Quotas with Uncertain Fish Stocks," Journal of Environmental Economics and Management, Elsevier, vol. 43(2), pages 325-338, March.
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