Relative Importance of Environmental Attributes Using Logistic Regression

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dc.creatorCarpio, Carlos E.
dc.creatorSydorovych, Olha
dc.creatorMarra, Michele C.
dc.date2017-04-01T20:21:11Z
dc.date.accessioned2026-07-09T04:24:06Z
dc.descriptionWe 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.
dc.identifierdoi:10.22004/ag.econ.34846
dc.identifierhttps://ageconsearch.umn.edu/record/34846/files/sp07ca01.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/34846
dc.identifier.urihttp://hdl.handle.net/123456789/549367
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/34846
dc.titleRelative Importance of Environmental Attributes Using Logistic Regression
dc.typeText

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University of Minnesota