Corpus ID: 9203451

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

@inproceedings{Vermaark2010TheIO,
  title={The Impact of Multiple Imputation of Coarsened Data on Estimates on the Working Poor in South Africa},
  author={Claire Vermaark},
  year={2010}
}
  • Claire Vermaark
  • Published 2010
  • Economics
    • 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. Estimates of poverty amongst the employed are found not… CONTINUE READING
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    13 Citations
    Background Citations
    4
    Methods Citations
    3

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