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Determinants of Tax Morale in Croatia: an Ordered Logit Model Cover

Determinants of Tax Morale in Croatia: an Ordered Logit Model

Open Access
|Sep 2019

Abstract

Background: A lower tax morality leads to an increased readiness to become active in the unofficial economy and causes the lack of public revenues.

Objectives: The aim of this paper is to investigate determinants that shape tax morale of Croatian citizens.

Methods/Approach: An ordered logit model is employed to evaluate which determinants shape tax morale of Croatian citizens. Data for the research were collected from 2,000 face-to-face interviews conducted in Croatia in late 2015.

Results: The descriptive analysis illustrates that 52 percent of respondents reported a high level of tax morale, 26 percent of respondents have a low tax morale, while 8 and 14 percent have a mid-low and a mid-high tax morale, respectively. The ordered logit analysis revealed that gender, age, financial situation, region, and participation in the unofficial economy have an impact on the tax morale.

Conclusions: Besides socio-demographic, socio-economic, and spatial determinants, a great number of sanctions for participation in informal activities also shapes tax morale of the Croatian citizens. More precisely, marginal effects show that those perceiving the expected sanctions as “normal tax or social security contributions due, plus a fine or a prison sentence” have by 6.3 percentage points higher probability of reporting the highest tax morale than others.

DOI: https://doi.org/10.2478/bsrj-2019-016 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
Language: English
Page range: 37 - 48
Submitted on: Jun 4, 2018
Accepted on: Jan 3, 2019
Published on: Sep 16, 2019
Published by: IRENET - Society for Advancing Innovation and Research in Economy
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year

© 2019 Predrag Bejaković, Slavko Bezeredi, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.