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Estimation of a Generalized Fishery Model: A Two-Stage Approach

Author

Listed:
  • Junjie Zhang

    (University of California, San Diego)

  • Martin D. Smith

    (Duke University)

Abstract

U.S. federal law calls for an end to overfishing, but measuring overfishing requires knowledge of bioeconomic parameters. Using microlevel economic data from the commercial fishery, this paper proposes a two-stage approach to estimate these parameters for a generalized fishery model. In the first stage, a fishery production function is consistently estimated by a within-period estimator treating the latent stock as a fixed effect. The estimated stock is then substituted into an equation of fish stock dynamics to estimate all other biological parameters. The bootstrap approach is used to correct the standard errors in the two-stage model. This method is applied to the reef-fish fishery in the northeastern Gulf of Mexico. The traditional method, which uses catch-per-unit-effort as a stock proxy, significantly overstates the optimal harvest level. © 2011 The President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Suggested Citation

  • Junjie Zhang & Martin D. Smith, 2011. "Estimation of a Generalized Fishery Model: A Two-Stage Approach," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 690-699, May.
    • Handle: RePEc:tpr:restat:v:93:y:2011:i:2:p:690-699
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    Cited by:

    1. Xingqiang Du & Liang Xiao & Yingjie Du, 2023. "Does CEO–Auditor Dialect Connectedness Trigger Audit Opinion Shopping? Evidence from China," Journal of Business Ethics, Springer, vol. 184(2), pages 391-426, May.
    2. Xu, Yecheng & Zhang, Yaoqi & Chen, Jiquan & John, Ranjeet, 2019. "Livestock dynamics under changing economy and climate in Mongolia," Land Use Policy, Elsevier, vol. 88(C).
    3. Craig A. Bond, 2017. "Valuing Coastal Natural Capital in a Bioeconomic Framework," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 1-26, April.
    4. Erik O. Sterner & Elizabeth J. Z. Robinson & H. J. Albers, 2018. "Location choice for renewable resource extraction with multiple non-cooperative extractors: a spatial Nash equilibrium model and numerical implementation," Letters in Spatial and Resource Sciences, Springer, vol. 11(3), pages 315-331, October.
    5. Andrew S. Hanks & Kevin M. Kniffin & Xuechao Qian & Bo Wang & Bruce A. Weinberg, 2022. "First Foot Forward: A Two-Step Econometric Method for Parsing and Estimating the Impacts of Multiple Identities," NBER Working Papers 30293, National Bureau of Economic Research, Inc.
    6. Jonathan R. Sweeney & Richard E. Howitt & Hing Ling Chan & Minling Pan & PingSun Leung, 2017. "How do fishery policies affect Hawaii's longline fishing industry? Calibrating a positive mathematical programming model," Papers 1707.03960, arXiv.org.
    7. Apriesnig, Jenny L. & Warziniack, Travis W. & Finnoff, David C. & Zhang, Hongyan & Lee, Katherine D. & Mason, Doran M. & Rutherford, Edward S., 2022. "The consequences of misrepresenting feedbacks in coupled human and environmental models," Ecological Economics, Elsevier, vol. 195(C).
    8. Nicolas Sanz & Bassirou Diop, 2022. "Endogenous catch per unit effort and congestion externalities between vessels in a search‐matching model: Evidence from the French Guiana shrimp fishery," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 838-853, July.
    9. Johnson Kakeu, 2023. "Concerns for Long-Run Risks and Natural Resource Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 1051-1093, April.
    10. Burns, Christopher, 2014. "Measurement Error in the Schaefer Production Model," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170569, Agricultural and Applied Economics Association.

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