The Impact of Multiple Imputation of Coarsened Data on Estimates on the Working Poor in South Africa

Claire Vermaak

No wp-2010-086, WIDER Working Paper Series from World Institute for Development Economic Research (UNU-WIDER)

Abstract: 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 and 2006 Labour Force Surveys, and compares poverty estimates obtained under several different methods of reconciling coarsened earnings data.

Keywords: Poverty measurement; Methodology (Poverty); Quantitative research methodology; Wage differentials; Wages (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (2)

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