Gender and Policy Effects on Technology Adoption in Zambia

This paper uses the Double-Hurdle model on panel household data for small scale farmers in Zambia to examine policy gender effects on technology adoption by farmers. Technology adoption in this paper is defined as fertilizer use by small-scale farm households. The paper uses the correlated random effects framework to account for unobserved heterogeneity between farmers and its correlation with explanatory variables used in the Double-Hurdle Model. A control function approach is used to account for potential endogeneity of subsidized input.


Issue Date:
2013
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/150176
Total Pages:
2
Series Statement:
Poster
2593




 Record created 2017-04-01, last modified 2017-08-27

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