Datasets

To enhance access to the Feed the Future Population-Based Surveys and their interoperability with other databases, we are currently re-compiling the datasets, applying standard processing methods from original (raw) datafiles to final output ready to be displayed and reproduced. Indeed, for reproducibility and diffusion, the output of this process is being documented and it will be presented and made available also during the FtF Datathon events. The objective is to support researchers and policy makers in exploring different linkages and providing answers to lingering questions, ranging from theoretical to more daily policy-making-driven. Upon completion of the process, georeferenced information on households will allow spatial visualization and matching of socio-economic data with infrastructure, market access, or overall agricultural potential. We will be able to answer important policy questions, such as whether infrastructure and market access affect women’s and men’s time burdens, group membership, and control over income. The first case study of this process is currently under preparation for Bangladesh (using the Bangladesh Integrated Household Survey 2011-2 and 2015) and it will be then extended to other Feed the Future countries. Beyond visualization, the team will also propose a combined spatial and econometric analysis that goes beyond traditional mapping applications, to test for the effect of biophysical variables such as soils or weather on socio-economic characteristics of the households with a focus on climate-gender-nutrition relationships. This novel use of spatial analysis techniques can suggest policy advice tailored to different agro-ecologies and household types.