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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=138762"><dc:title>Exact analytical grossing up computation as data imputation technique in Mathematica</dc:title><dc:creator>Turk,	Tomaž	(Avtor)
	</dc:creator><dc:creator>Čok,	Mitja	(Avtor)
	</dc:creator><dc:subject>informatics</dc:subject><dc:subject>programmes</dc:subject><dc:subject>simulation</dc:subject><dc:subject>data imputation</dc:subject><dc:subject>simulations</dc:subject><dc:subject>exact analytical solution</dc:subject><dc:subject>tax-benefit modelling</dc:subject><dc:description>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.</dc:description><dc:date>2022</dc:date><dc:date>2022-08-16 14:12:03</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>138762</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
