Univariate Multiple Imputation for Coarse Employee Income Data

Book Chapter
13 December 2023

How Data Quality Affects our Understanding of the Earnings Distribution

Reza Che Daniels

AbstractEmployment income data are coarsened as a result of questionnaire design. In the previous chapter we saw that Statistics South Africa (SSA) ask two employment income questions: an exact income question with a showcard follow-up. In public-use datasets, this results in two income variables: a continuously distributed variable for exact income responses and a categorical variable for bounded income responses with separate categories for nonresponse. It is the task of the researcher to then generate a single income variable that effectively deals with this mixture of data types. Following Heitjan and Rubin (1991), we call a variable with this mixture of data types “coarse data”.

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Daniels, R. C. (2022). Univariate Multiple Imputation for Coarse Employee Income Data. How Data Quality Affects Our Understanding of the Earnings Distribution, 79–109. https://doi.org/10.1007/978-981-19-3639-5_4
Publication | 13 December 2023