Gender and Policy Effects on Technology Adoption in Zambia
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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.