Exact analytical grossing up computation as data imputation technique in Mathematica

The presented software package enables missing data imputation in datasets used in economic and social policy simulation studies where gross personal income computation (known as grossing-up procedure in literature) from other available data is not trivial. The package is generally applicable to mod...

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Bibliographic Details
Published in:Software impacts 2022-08, Vol.13, p.100380, Article 100380
Main Authors: Turk, Tomaž, Čok, Mitja
Format: Article
Language:English
Subjects:
Data imputation
Exact analytical solution
Simulations
Tax-benefit modelling
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Description
Summary:The presented software package enables missing data imputation in datasets used in economic and social policy simulation studies where gross personal income computation (known as grossing-up procedure in literature) from other available data is not trivial. The package is generally applicable to modern tax systems around the world and allows for gross personal income computation at the individual level based on net personal income and relevant income tax parameters, such as tax allowances, tax schedule, tax credit system, and social security contributions, in various combinations. •Gross personal income data imputation in economic and social policy microsimulation studies is not trivial.•Presented software package enables an exact analytical solution.•It can be considered as a general analytically exact technique applicable for most of the countries and various personal income tax systems.
ISSN:2665-9638
2665-9638
DOI:10.1016/j.simpa.2022.100380