Factors of Tax Evasion: The Case of the Czech Republic

The main goal of this paper is to estimate factors of tax evasion in the Czech Republic. Among other things, tax evasion reduces state revenues which fact leads to a decrease in the quantity and quality of publicly provided goods and services. Therefore it is necessary to ensure that taxpayers comply with their tax obligations. Firstly, we use the monetary method (cash/deposit ratio) to estimate the size of tax evasion in absolute and relative terms. According to our estimates, the extent of tax evasion in the Czech Republic was almost 3.6 percent of GDP in 2021. Secondly, we use multivariate time series cointegration analysis models to analyse the economic, tax, and institutional determinants of tax evasion in the Czech Republic. The factors negatively associated with tax evasion include tax overpayments, VAT revenue, and implementation of tax measures introduced in 2020. The positive impact has GDP, PIT revenue, CIT revenue, inflation, monetary freedom, Gross National Savings, trade freedom, PIT rate, unemployment, and average wage.

[1]  Wojciech Stiller,et al.  Digitalization and Cross-Border Tax Fraud: Evidence from E-Invoicing in Italy , 2024, SSRN Electronic Journal.

[2]  Youngrok Kim,et al.  Card or cash? Evidence regarding consumers' cooperative value‐added tax compliance , 2022, Asian Economic Journal.

[3]  M. Habibullah,et al.  Eradicating tax evasion in Indonesia through financial sector development , 2022, Cogent Economics & Finance.

[4]  Correction to: VAT Listings within the EU Member States and Their Impact on Tax Evasion , 2022, CESifo Economic Studies.

[5]  Hana Zídková,et al.  What are the factors of tax evasion? New findings in the EVS Study , 2021, Review of Economic Perspectives.

[6]  Anastasiou Athanasios,et al.  Determinants of tax evasion in Greece: Econometric analysis of co-integration and causality, variance decomposition and impulse response analysis , 2021, Bulletin of Applied Economics.

[7]  Dennis Nchor Shadow economies and tax evasion: The case of the Czech Republic, Poland and Hungary , 2020, Society and Economy.

[8]  E. Kitsios,et al.  Tax evasion from cross-border fraud: does digitalization make a difference? , 2020, IMF Working Papers.

[9]  Boryana Madzharova Traceable Payments and VAT Design: Effects on VAT Performance , 2020 .

[10]  M. Diakomihalis Factors of Tax Evasion in Greece: Taxpayers’ Perspective , 2020 .

[11]  Timotej Jagrič,et al.  VAT Gap Dependence and Fiscal Administration Measures , 2018, Naše gospodarstvo/Our economy.

[12]  Erdal Gumus,et al.  Determinants of Tax Evasion Behavior: Empirical Evidence from Survey Data , 2013 .

[13]  F. Schneider,et al.  Size and Development of Tax Evasion in 38 OECD Countries: What Do We (Not) Know? , 2012, SSRN Electronic Journal.

[14]  M. Pickhardt,et al.  The size of the underground economy in Germany: a correction of the record and new evidence from the modified-cash-deposit-ratio approach , 2011 .

[15]  F. Schneider,et al.  Shadow economies around the world: novel insights, accepted knowledge, and new estimates , 2011, International Tax and Public Finance.

[16]  Robert W. McGee,et al.  Tax Evasion and Ethics: A Demographic Study of 33 Countries , 2006 .

[17]  J. Panadés,et al.  Inflation, tax evasion, and the distribution of consumption , 2004 .

[18]  Oecd Ilo,et al.  Measuring the non-observed economy. A handbook , 2002 .

[19]  Hannelore Weck-Hannemann,et al.  Tax rates, tax administration and income tax evasion in Switzerland , 1996 .

[20]  Adrian C. Darnell,et al.  A Dictionary of Econometrics , 1994 .

[21]  David F. Hendry,et al.  Linear Transformations, Error Correction, and the Long Run in Dynamic Regression , 1993 .

[22]  W. Fuller,et al.  Distribution of the Estimators for Autoregressive Time Series with a Unit Root , 1979 .

[23]  Agnar Sandmo,et al.  Income tax evasion: a theoretical analysis , 1972 .

[24]  Cornelius Rantelangi,et al.  Factors that Influence the Taxpayers' Perception on the Tax Evasion , 2018 .

[25]  A. H. Baharom,et al.  Tax evasion and financial development in ASEAN-5 , 2017 .

[26]  J. Pavel,et al.  WHAT CAUSES THE VAT GAP , 2016 .

[27]  M. Jusoh,et al.  Estimating Factors Affecting Tax Evasion in Malaysia: A Neural Network Method Analysis , 2012 .

[28]  M. Pickhardt,et al.  Cash, hoarding and the underground economy , 2011 .

[29]  Walter J. Radermacher Eurostat , 2011, International Encyclopedia of Statistical Science.

[30]  D. Hendry,et al.  Co-Integration and Error Correction : Representation , Estimation , and Testing , 2007 .

[31]  Grant Richardson,et al.  Determinants of tax evasion: A cross-country investigation , 2006 .

[32]  T. Breusch,et al.  Data Transformation Tests , 1986 .

[33]  Dan Bawley The subterranean economy , 1982 .

[34]  Anil K. Bera,et al.  Efficient tests for normality, homoscedasticity and serial independence of regression residuals , 1980 .