An Application of Machine Learning and Advanced Econometrics Techniques on Population Survey Datasets in Zimbabwe

Using nationally representative household survey data on Zimbabwe we utilize propensity score matching and multinomial treatment regression approahces to investigate the impact of domestic and international remittances on household expenditure.

The study set out to investigate the effectiveness of electricity subsidies in poverty alleviation in Zimbabwe through addressing the questions around the quantum and distribution of the subsidies between the poor and the non-poor

High poverty remains a major concern in the rural areas of Zimbabwe despite continued provision of free input support for the vulnerable communities by the government.

This study investigates whether male-headed households (MHHs) and female-headed households (FHHs) in Zimbabwe experience multidimensional poverty differently using data for 2011/12 and 2017

This study investigates whether private transfers, specifically, migrant remittances, and public transfers, matter for agricultural and food security outcomes of rural households in Zimbabwe, using descriptive statistical methodologies on a recent household survey.