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

Vermaak, Claire (2010). The Impact of Multiple Imputation of Coarsened Data on Estimates on the Working Poor in South Africa. UNU-WIDER.

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  • Sub-type Working paper
    Author Vermaak, Claire
    Title The Impact of Multiple Imputation of Coarsened Data on Estimates on the Working Poor in South Africa
    Volume/Issue No. 2010/86
    Publication Date 2010
    Place of Publication Helsinki
    Publisher UNU-WIDER
    Pages 27
    Language eng
    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 miss

    Keyword Measurement (poverty)
    Methodology (poverty)
    Methodology (quantitative research)
    Wage differentials
    Wages
    Copyright Holder UNU-WIDER
    Copyright Year 2010
    Copyright type Fair use permitted
    ISSN 17987237
    ISBN 9789292303242
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    Created: Fri, 12 Feb 2016, 15:41:21 JST