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Relative Importance of Environmental Attributes Using Logistic Regression

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  • Carpio, Carlos E.
  • Sydorovych, Olha
  • Marra, Michele C.

Abstract

We investigate the problem of determining the relative importance of attributes in the discrete choice setting. Four alternative methods of extracting the relative importance of attributes are considered. The empirical application involves the development of a risk index system for individual herbicides combining the information on the herbicides' different human and environmental risks. The values of the pesticide risk indices are found to be consistent across the different methods.

Suggested Citation

  • Carpio, Carlos E. & Sydorovych, Olha & Marra, Michele C., 2007. "Relative Importance of Environmental Attributes Using Logistic Regression," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34846, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saeasm:34846
    DOI: 10.22004/ag.econ.34846
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    References listed on IDEAS

    as
    1. Mullen, Jeffrey D. & Norton, George W. & Reaves, Dixie Watts, 1997. "Economic Analysis Of Environmental Benefits Of Integrated Pest Management," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 29(2), pages 1-11, December.
    2. Soofi, E. S. & Retzer, J. J., 2002. "Information indices: unification and applications," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 17-40, March.
    3. Menard, Scott, 2004. "Six Approaches to Calculating Standardized Logistic Regression Coefficients," The American Statistician, American Statistical Association, vol. 58, pages 218-223, August.
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    Cited by:

    1. Hasing, Tomas & Carpio, Carlos E. & Willis, David B. & Sydorovych, Olha & Marra, Michele, 2012. "The Effect of Label Information on U.S. Farmers' Herbicide Choices," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(2), pages 200-214, August.

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