Using Mimic Models to Examine Determinants of Vat Gap in Lithuania
Articles
Gindra Kasnauskienė
Vilnius University
Jolita Krimisieraitė
Vilnius University
Published 2015-05-29
https://doi.org/10.15388/omee.2015.6.1.14230
PDF

Keywords

VAT gap
VAT revenue
tax evasion
MIMIC

How to Cite

Kasnauskienė G. and Krimisieraitė J. (2015) “Using Mimic Models to Examine Determinants of Vat Gap in Lithuania”, Organizations and Markets in Emerging Economies, 6(1), pp. 107-126. doi: 10.15388/omee.2015.6.1.14230.

Abstract

In recent years analysis of economic loss attributed to different aspects of shadow economy has attracted much attention of both academics and policy makers. Recent statistical data shows that new member states have on average a 9 percent higher VAT gap than the older members of the European Union. Knowing that economies of emerging markets rely on the VAT for a substantially higher percentage of their government revenues, it is very important to understand the determinants limiting revenue mobilization in those countries. In Lithuania, the VAT gap increased dramatically after the crisis of 2008 , and now is one of the largest in the EU. However, few studies have empirically tested some hypotheses about the VAT as a revenue-raising instrument in the country. The purpose of this study is to identify the determinants significantly influencing the size of the VAT gap in Lithuania using the MIMIC method for quarterly data of the period 2000-2013. The applied MIMIC model indicated that two factors (General government consumption expenditure and inflation) have a statistically significant impact on the VAT gap in the long-run. The results of the eMIMIC model show that two determinants (inflation and household deposits) have a statistically significant influence on the gap in the short-run. The authors believe that the key findings of the study can be used as one of the supporting tools in adjusting Lithuanian pro-growth tax policy and improving administration of VAT taxes.

PDF
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Please read the Copyright Notice in Journal Policy.