Impact Assessment of Technologies That Mitigate Adverse Circumstances: The Case of Disease-Resistant Beans in Honduras

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dc.creatorMather, David
dc.creatorOehmke, James F.
dc.date2017-04-01T19:38:45Z
dc.date.accessioned2026-07-09T03:38:30Z
dc.descriptionConstructing appropriate counterfactual scenarios is an ongoing challenge for impact assessment of agricultural research. Using farm-level survey data from Honduras, this paper adapts the Heckman two-step procedure to construct the counterfactual to resistant variety (RV) bean yields by predicting imputed traditional variety yields of RV users.
dc.identifierdoi:10.22004/ag.econ.22153
dc.identifierhttps://ageconsearch.umn.edu/record/22153/files/sp03ma08.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/22153
dc.identifier.urihttp://hdl.handle.net/123456789/537232
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/22153
dc.titleImpact Assessment of Technologies That Mitigate Adverse Circumstances: The Case of Disease-Resistant Beans in Honduras
dc.typeText

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