Abstract:

Government grants have become an important source of income for many households in South Africa. With the need to understand their impact, this study used household level data to analyse determinants of household poverty amongst households receiving government grants in a South Africa Township of Bophelong. A Logistic regression was estimated based on this data with the economic status (that is poor and non-poor) as the dependent variable and a set of demographic variables as the explanatory variables. The results of the study show that household size, gender, age employment status were important predictors of household poverty. The age and the employment status of the head of the household reduce the probability of being poor. The household size is associated with an increased probability of being poor

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