Exploring the quality of income data in two African household surveys for the purpose of tax-benefit microsimulation modelling: Imputing employment income in Tanzania and Zambia

David McLennan, Michael Noble, Gemma Wright, Helen Barnes and Faith Masekesa

No wp-2021-134, WIDER Working Paper Series from World Institute for Development Economic Research (UNU-WIDER)

Abstract: The quality of data on employment income is explored using Tanzanian and Zambian household survey datasets. The extent of missing and implausible income data is assessed and four different methods are applied to impute missing or implausible values. The four imputation methods are also applied to artificial missing data for Tanzania and Zambia, and—using one approach—for a South Africa dataset. Post-imputation results are assessed.

Keywords: Income; Imputation; Microsimulation; Data; Tanzania; Zambia; Tax-benefit microsimulation (search for similar items in EconPapers)
Date: 2021
New Economics Papers: this item is included in nep-dev and nep-isf
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Persistent link: https://EconPapers.repec.org/RePEc:unu:wpaper:wp-2021-134

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