izpis_h1_title_alt

Exact analytical grossing up computation as data imputation technique in Mathematica
ID Turk, Tomaž (Author), ID Čok, Mitja (Author)

.pdfPDF - Presentation file, Download (377,83 KB)
MD5: 5BB400DC20CD4BBA97199422120423F4
URLURL - Source URL, Visit https://www.sciencedirect.com/science/article/pii/S2665963822000823?via%3Dihub This link opens in a new window

Abstract
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.

Language:English
Keywords:informatics, programmes, simulation, data imputation, simulations, exact analytical solution, tax-benefit modelling
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:EF - School of Economics and Business
Publication status:Published
Publication version:Version of Record
Publication date:16.07.2022
Year:2022
Number of pages:Str. 1-3
Numbering:Vol. 13, art. 100380
PID:20.500.12556/RUL-138762 This link opens in a new window
UDC:659.2:004
ISSN on article:2665-9638
DOI:10.1016/j.simpa.2022.100380 This link opens in a new window
COBISS.SI-ID:117075971 This link opens in a new window
Publication date in RUL:16.08.2022
Views:532
Downloads:105
Metadata:XML DC-XML DC-RDF
:
Copy citation
Share:Bookmark and Share

Record is a part of a journal

Title:Software impacts
Publisher:Elsevier B.V.
ISSN:2665-9638
COBISS.SI-ID:117074947 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:informatika, programi, simulacija

Projects

Funder:ARRS - Slovenian Research Agency
Funding programme:Raziskovalni program
Project number:P2-0037
Name:Tehnologije interneta prihodnosti: koncepti, arhitekture, storitve in družbeno-ekonomski vidiki

Funder:ARRS - Slovenian Research Agency
Funding programme:Raziskovalni program
Project number:P5-0161
Name:Izzivi vlagateljev, podjetij, finančnih institucij in države v negotovem evropskem gospodarskem okolju

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Back