Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/314143 
Year of Publication: 
2021
Citation: 
[Journal:] Journal of Applied Economics [ISSN:] 1667-6726 [Volume:] 24 [Issue:] 1 [Year:] 2021 [Pages:] 523-540
Publisher: 
Taylor & Francis, Abingdon
Abstract: 
A more targeted approach towards improving women's access to agricultural innovations is key to increase the overall agricultural productivity. This paper uses gender-disaggregated household and plot-level survey data from Ethiopia to explore the impacts of multiple agronomic practices disaggregated by the sex of the plot manager. Using a multinomial endogenous switching regression methodology, after controlling for endogeneity arising from observed and unobserved heterogeneity, we found that multiple agronomic practices have a positive and significant effect on maize yields and maize income. Crucially, subject to demographics, plot quality and agronomic practices (among others), we found that women-managed plots (WMP) had treatment effects (yields) that were statistically the same as those of men-managed plots (MMP) (and nominally higher in a number of cases).
Subjects: 
endogenous switching regression
Ethiopia
gender
heterogeneity
Technology adoption
welfare
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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