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Sea bass angling in Ireland: A structural equation model of catch and effort

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  • Grilli, Gianluca
  • Curtis, John
  • Hynes, Stephen
  • O'Reilly, Paul

Abstract

The relationship between angling effort and catch is well-recognised, in particular, that effort influences catch rates. But increased catch, which can be considered an attribute of fishery quality, may influence effort in terms of number of fishing trips. This suggests bi-directional feedback between catch and effort. In many travel cost applications, little attention has been given to this endogeneity problem. In this paper, we expand the application of structural equation models to address this issue by jointly estimating demand (effort) and catch functions.

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  • Grilli, Gianluca & Curtis, John & Hynes, Stephen & O'Reilly, Paul, 2017. "Sea bass angling in Ireland: A structural equation model of catch and effort," Papers WP574, Economic and Social Research Institute (ESRI).
    • Handle: RePEc:esr:wpaper:wp574
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    References listed on IDEAS

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    1. Yung-Tsan Jou & Klint Allen Mariñas & Charmine Sheena Saflor & Michael Nayat Young, 2022. "Investigating Accessibility of Social Security System (SSS) Mobile Application: A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    2. Grilli, Gianluca & Mukhopadhyay, Soumyadeep & Curtis, John & Hynes, Stephen, 2019. "Recreational angling demand in a mixed resource fishery," Papers WP622, Economic and Social Research Institute (ESRI).
    3. Hongbin Liu & Xiaojuan Luo, 2018. "Understanding Farmers’ Perceptions and Behaviors towards Farmland Quality Change in Northeast China: A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    4. Deely, John & Hynes, Stephen & Cawley, Mary & Hogan, Sarah, 2023. "Modelling domestic marine and coastal tourism demand using logit and travel cost count models," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 123-136.
    5. Grilli, Gianluca & Curtis, John & Hynes, Stephen, 2018. "Using angling logbook data to inform fishery management decisions," Papers WP600, Economic and Social Research Institute (ESRI).

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