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Characteristics of taxpayers with impact on tax compliance

Is there a local bias

Bibliographic Data

ID6452909
AuthorsTimotej Jagrič (0000-0001-7767-9988, University of Maribor), Tomaž Lešnik (DOBA Business School), Aleksandra Amon (0000-0001-7754-7117, University of Maribor)
Year2025
Volume47
Issue4
Pages387-400
Publication date2025-05-16
Open AccessYes
TypeARTICLE
VenueSociety and Economy (JOURNAL)
Journal identifiersISSN: 1588-970X • E-ISSN: 1588-9726
PublisherAkadémiai Kiadó (PUBLISHER • HU)
DOI10.1556/204.2025.00007
OpenAlexW4410432508
LanguageEN
References cited1

This study contributes towards understanding tax compliance by identifying taxpayers' characteristics affecting it. The purpose of this study was to identify significant characteristics of Slovenian taxpayers that affect corporate tax compliance. Data were acquired through the desk audit process conducted by the Financial Administration of the Republic of Slovenia (FURS), focusing on the investment allowance of Slovenian corporate taxpayers. Econometric testing determined that a binary logit model was the most appropriate fit. Consequently, logistic regression analysis was performed on a large sample of Slovenian corporate taxpayers for the period between 2018 and 2021. A wide range of characteristics were considered, including the type of enterprise, age, size, industry, location and financial indicators. Eight characteristics were found to significantly impact tax compliance in Slovenia, including the size of the enterprise, organizational type, residing tax office branch, business sector, and the year the observed audit was conducted. Besides finding eight significant characteristics of taxpayers determining tax compliance, results also indicate the presence of local bias, with one of the tax office branches significantly impacting the number of irregularities found during audits

Business · Compliance (psychology · Corporate Tax · Econometrics · Economics · Public economics · Tax avoidance · Value-added tax · Gender, Labor, and Family Dynamics · Psychology · Social Psychology · Taxation and Compliance Studies · Accounting

  • Applied Logistic Regression

    David W Hosmer, Stanley Lemeshow•Applied logistic regression•2000

Highly citedNo

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Open DOIOpen Access
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