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Voluntary Cooperation in the Commons? Evaluating the Sea State Program with Reduced Form and Structural Models

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  • Joshua K. Abbott
  • James E. Wilen

Abstract

We utilize a variety of approaches to examine the success of a voluntary conservation program for a common property resource. The availability of panel data and a nonparticipatory group lets us use quasi-experimental methods to investigate the distribution of outcome treatment effects. We supplement these methods by incorporating a difference-in-differences structure into a behavioral model of fishing location choice to disentangle the program’s incentive effects from potentially misleading temporal variations in behavioral constraints. Our findings yield insight into the factors that support cooperation and illustrate the power of the complementary use of structural and reduced form models in program evaluation.

Suggested Citation

  • Joshua K. Abbott & James E. Wilen, 2010. "Voluntary Cooperation in the Commons? Evaluating the Sea State Program with Reduced Form and Structural Models," Land Economics, University of Wisconsin Press, vol. 86(1), pages 131-154.
  • Handle: RePEc:uwp:landec:v:86:y:2010:i:1:p:131-154
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    Cited by:

    1. John Lynham, 2017. "Identifying Peer Effects Using Gold Rushers," Land Economics, University of Wisconsin Press, vol. 93(3), pages 527-548.
    2. Eliasen, Søren Qvist & Bichel, Nikolaj, 2016. "Fishers sharing real-time information about “bad” fishing locations. A tool for quota optimisation under a regime of landing obligations," Marine Policy, Elsevier, vol. 64(C), pages 16-23.
    3. Stafford, Tess M., 2018. "Accounting for outside options in discrete choice models: An application to commercial fishing effort," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 159-179.
    4. Keith Evans & Quinn Weninger, 2014. "Information Sharing and Cooperative Search in Fisheries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(3), pages 353-372, July.
    5. Reimer, Matthew N. & Haynie, Alan C., 2018. "Mechanisms matter for evaluating the economic impacts of marine reserves," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 427-446.
    6. Hutniczak, Barbara & Münch, Angela, 2018. "Fishermen's location choice under spatio-temporal update of expectations," Journal of choice modelling, Elsevier, vol. 28(C), pages 124-136.
    7. Kailin Kroetz & James N. Sanchirico & Daniel K. Lew, 2015. "Efficiency Costs of Social Objectives in Tradable Permit Programs," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(3), pages 339-366.
    8. Wiktor L. Adamowicz & Klaus Glenk & Jürgen Meyerhoff, 2014. "Choice modelling research in environmental and resource economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 27, pages 661-674, Edward Elgar Publishing.
    9. Junjie Zhang & Martin Smith, 2011. "Heterogeneous Response to Marine Reserve Formation: A Sorting Model approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(3), pages 311-325, July.
    10. Abbott, Joshua K. & Wilen, James E., 2011. "Dissecting the tragedy: A spatial model of behavior in the commons," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 386-401.
    11. Kathleen Segerson, 2013. "Voluntary Approaches to Environmental Protection and Resource Management," Annual Review of Resource Economics, Annual Reviews, vol. 5(1), pages 161-180, June.
    12. Ahsanuzzaman, & Palm-Forster, Leah H. & Suter, Jordan F., 2022. "Experimental evidence of common pool resource use in the presence of uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 139-160.

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    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery

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