The study used Quasi maximum likelihood estimation (QMLE) on a nationally representative household level data set to estimate the effect of alcohol consumption expenditure on a set of expenditure proportions of other commodities. The results indicate that, the low-income, including the rural population, spent proportionately more on alcohol than their well-off and urban counterparts. Furthermore, the consumption of alcohol crowded-out expenditures on consumer non-durable (food and beverages), durable (housing) and essential services (education).
View Article and Find Full Text PDF