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Using Biomedical Technologies to Inform Economic Modeling: Challenges and Opportunities for Improving Analysis of Environmental Policies

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  • Roe, Brian E.
  • Haab, Timothy C.

Abstract

Advances in biomedical technology have irrevocably jarred open the black box of human decision making, offering social scientists the potential to validate, reject, refine and redefine the individual models of resource allocation that form the foundation of modern economics. In this paper we (1) provide a comprehensive overview of the biomedical methods that may be harnessed by economists and other social scientists to better understand the economic decision making process; (2) review research that utilizes these biomedical methods to illuminate fundamental aspects of the decision making process; and (3) summarize evidence from this literature concerning the basic tenants of neoclassical utility that are often invoked for positive welfare analysis of environmental policies. We conclude by raising questions about the future path of policy related research and the role biomedical technologies will play in defining that path.

Suggested Citation

  • Roe, Brian E. & Haab, Timothy C., 2009. "Using Biomedical Technologies to Inform Economic Modeling: Challenges and Opportunities for Improving Analysis of Environmental Policies," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49151, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea09:49151
    DOI: 10.22004/ag.econ.49151
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    Cited by:

    1. Mikołaj Czajkowski & Nick Hanley, 2009. "Using Labels to Investigate Scope Effects in Stated Preference Methods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(4), pages 521-535, December.
    2. Mikołaj Czajkowski & Nick Hanley, 2008. "How to ‘Sell’ an Environmental Good: Using Labels to Investigate Scope Effects," Working Papers 2008-03, Faculty of Economic Sciences, University of Warsaw.

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    Keywords

    Institutional and Behavioral Economics; Research Methods/ Statistical Methods;

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