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

Constructing 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.


Issue Date:
2003
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/22153
Total Pages:
31
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2017-08-24

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