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Measurement and decomposition of Lithuania's income inequality

[journal article]

Černiauskas, Nerijus
Čigina, Andrius

Abstract

Even though Lithuania's household income inequality is among the highest in the European Union (EU), little empirical work has been carried out to explain such disparities. We investigate it using the EU Statistics on Income and Living Conditions sample microdata. We confirm that income inequality i... view more

Even though Lithuania's household income inequality is among the highest in the European Union (EU), little empirical work has been carried out to explain such disparities. We investigate it using the EU Statistics on Income and Living Conditions sample microdata. We confirm that income inequality in Lithuania is high compared to the EU average. Our decompositions reveal that the number of employed household members in Lithuania's households affects income inequality more as compared to the EU. It is related to a larger labour income, and self-employment income, in particular, contribution to inequality in Lithuania. Moreover, taxes, social contributions, and transfers reduce income inequality in Lithuania less than in the EU. Specifically, income taxes and social contributions are less progressive while transfers constitute a smaller share of income in Lithuania than in the EU. Income taxes and social contributions are effectively regressive for the self-employed in Lithuania.... view less

Keywords
Lithuania; EU; difference in income; household income; inequality; social security contributions; income tax; tax progression; redistribution

Classification
Economic Policy
Public Finance

Free Keywords
income inequality; factor decomposition; subgroup decomposition; Kakwani; European Union Statistics on Income and Living Conditions (EU-SILC)

Document language
English

Publication Year
2020

Page/Pages
p. 139-169

Journal
Baltic Journal of Economics, 20 (2020) 2

DOI
https://doi.org/10.1080/1406099X.2020.1780693

ISSN
1406-099X

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.