World Tax Index: Results of the Pilot Project

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F18%3A00103663" target="_blank" >RIV/00216224:14560/18:00103663 - isvavai.cz</a>

Výsledek na webu

<a href="https://mme2018.fm.vse.cz/" target="_blank" >https://mme2018.fm.vse.cz/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

World Tax Index: Results of the Pilot Project

Popis výsledku v původním jazyce

Taxes are the essential parts of models of economic growth. They may have negative impact on economy and burden part of the economic activity. Therefore, we need to be able measure the size of tax burden correspondingly. The most popular indices are tax quota and implicit tax rates, but there are also other alternative indicators including World Tax Index (WTI). WTI is an overall multi-criteria indicator of the tax burden designed for OECD countries and constructed as a combination of hard tax data weighted by soft data (QEO) gathered through an online questionnaire survey among tax specialists. In 2016 we introduced new methodology of WTI based on factor analysis and pilot project was held in 2017 for the Czech Republic to test the relevance of the method. In this paper we present and discuss the results of pilot project. We use three different factorization methods (namely Principal Component Analysis, Factor Analysis and Non-negative Matrix Factorization) to find latent factors in data and afterward compute new WTI values for each factorization method. All three methods suggest that corporate and personal income taxes have the highest tax burden effect.

Název v anglickém jazyce

World Tax Index: Results of the Pilot Project

Popis výsledku anglicky

Taxes are the essential parts of models of economic growth. They may have negative impact on economy and burden part of the economic activity. Therefore, we need to be able measure the size of tax burden correspondingly. The most popular indices are tax quota and implicit tax rates, but there are also other alternative indicators including World Tax Index (WTI). WTI is an overall multi-criteria indicator of the tax burden designed for OECD countries and constructed as a combination of hard tax data weighted by soft data (QEO) gathered through an online questionnaire survey among tax specialists. In 2016 we introduced new methodology of WTI based on factor analysis and pilot project was held in 2017 for the Czech Republic to test the relevance of the method. In this paper we present and discuss the results of pilot project. We use three different factorization methods (namely Principal Component Analysis, Factor Analysis and Non-negative Matrix Factorization) to find latent factors in data and afterward compute new WTI values for each factorization method. All three methods suggest that corporate and personal income taxes have the highest tax burden effect.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

The 36th International Conference Mathematical Methods in Economics, Conference Proceedings.

ISBN

9788073783723

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

240-245

Název nakladatele

MatfyzPress, Publishing House of the Faculty of Mathematics and Physics Charles University

Místo vydání

Praha

Místo konání akce

Jindřichův Hradec

Datum konání akce

1. 1. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000507455300042