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Publications (4)
Blog
– Explaining income distributions with ‘decompositions’
The understanding of inequality requires the analysis of changes in income distributions across countries and over time as well as the identification of its drivers. To achieve this we use different statistical tools to identify the distributional patterns and summarize the results using inequality...
Income inequality is the result of complex processes with multiple interacting driving forces but understanding those drivers in emerging economies is particularly difficult because of data and analytical challenges. While most middle-income countries produce comprehensive household surveys these...
Journal Article
– Evidence from South Africa
Part of Journal Special Issue
Measuring Poverty Over Time
Working Paper
pdf
The Impact of Multiple Imputation of Coarsened Data on Estimates on the Working Poor in South Africa
South African household surveys typically contain coarsened earnings data, which consist of a mixture of missing earnings values, point responses and interval-censored responses. This paper uses sequential regression multivariate imputation to impute missing and interval-censored values in the 2000...
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