Analyzing Factors Affecting Tax Morale Levels in Turkey Using Alternative Ordered Response Models

The concept of tax morale is introduced to measure the reason of paying taxes by subjects. The main objective of this paper is twofold. Firstly, the present paper examines potential factors that may influence the degree of tax morale in Turkey. Secondly, the paper aims to determine the best model to...

Full description

Bibliographic Details
Main Authors: Dilek Özdemir, Ali Kemal Çelik, Serap Bedir Kara
Format: Article
Language:English
Published: Babes-Bolyai University, Cluj-Napoca 2019-06-01
Series:Transylvanian Review of Administrative Sciences
Subjects:
Online Access:https://rtsa.ro/tras/index.php/tras/article/view/598
_version_ 1797262629904842752
author Dilek Özdemir
Ali Kemal Çelik
Serap Bedir Kara
author_facet Dilek Özdemir
Ali Kemal Çelik
Serap Bedir Kara
author_sort Dilek Özdemir
collection DOAJ
description The concept of tax morale is introduced to measure the reason of paying taxes by subjects. The main objective of this paper is twofold. Firstly, the present paper examines potential factors that may influence the degree of tax morale in Turkey. Secondly, the paper aims to determine the best model to explain the determinants of the degree of tax morale by a comparison of alternative ordered response models. For these purposes, a written-questionnaire was administered to 943 subjects in three cities of northern Turkey, namely, Erzurum, Erzincan, and Bayburt. Standard ordered probit (OPROBIT) and alternative ordered response models including generalized ordered logit model (GOLOGIT), partial proportional odds (PPO) model and heteroskedastic ordered logit (HOLOGIT) model were performed to determine the best model fit. Results reveal that marital status, monthly income, and operation time were positively correlated with higher degrees of tax morale. The empirical findings also indicated that higher educated subjects were more likely to have lower degrees of tax morale. Tax amnesty, higher tax load, tax system, tax policies, previous negative experiences, and efficient use of public expenditures were found to have statistically significant impact on the degree of tax morale among subjects
first_indexed 2024-03-11T11:47:10Z
format Article
id doaj.art-35e8920d8c5d4b0986ba9c1ccb3d2969
institution Directory Open Access Journal
issn 1842-2845
language English
last_indexed 2024-04-25T00:00:09Z
publishDate 2019-06-01
publisher Babes-Bolyai University, Cluj-Napoca
record_format Article
series Transylvanian Review of Administrative Sciences
spelling doaj.art-35e8920d8c5d4b0986ba9c1ccb3d29692024-03-14T07:28:37ZengBabes-Bolyai University, Cluj-NapocaTransylvanian Review of Administrative Sciences1842-28452019-06-0115578610210.24193/tras.57E.6616Analyzing Factors Affecting Tax Morale Levels in Turkey Using Alternative Ordered Response ModelsDilek Özdemir0Ali Kemal Çelik1Serap Bedir Kara2Assistant Professor, PhD, Department of Economics, Faculty of Economics and Administrative Sciences, Atatürk University, Erzurum, TurkeyAssociate Professor, PhD, Department of Business Administration, Faculty of Economics and Administrative Sciences, Ardahan University, Ardahan, TurkeyAssociate Professor, PhD, Department of Economics, Faculty of Economics and Administrative Sciences, Erzurum Technical University, Erzurum, TurkeyThe concept of tax morale is introduced to measure the reason of paying taxes by subjects. The main objective of this paper is twofold. Firstly, the present paper examines potential factors that may influence the degree of tax morale in Turkey. Secondly, the paper aims to determine the best model to explain the determinants of the degree of tax morale by a comparison of alternative ordered response models. For these purposes, a written-questionnaire was administered to 943 subjects in three cities of northern Turkey, namely, Erzurum, Erzincan, and Bayburt. Standard ordered probit (OPROBIT) and alternative ordered response models including generalized ordered logit model (GOLOGIT), partial proportional odds (PPO) model and heteroskedastic ordered logit (HOLOGIT) model were performed to determine the best model fit. Results reveal that marital status, monthly income, and operation time were positively correlated with higher degrees of tax morale. The empirical findings also indicated that higher educated subjects were more likely to have lower degrees of tax morale. Tax amnesty, higher tax load, tax system, tax policies, previous negative experiences, and efficient use of public expenditures were found to have statistically significant impact on the degree of tax morale among subjectshttps://rtsa.ro/tras/index.php/tras/article/view/598tax morale, tax evasiontax compliancediscrete choice models
spellingShingle Dilek Özdemir
Ali Kemal Çelik
Serap Bedir Kara
Analyzing Factors Affecting Tax Morale Levels in Turkey Using Alternative Ordered Response Models
Transylvanian Review of Administrative Sciences
tax morale, tax evasion
tax compliance
discrete choice models
title Analyzing Factors Affecting Tax Morale Levels in Turkey Using Alternative Ordered Response Models
title_full Analyzing Factors Affecting Tax Morale Levels in Turkey Using Alternative Ordered Response Models
title_fullStr Analyzing Factors Affecting Tax Morale Levels in Turkey Using Alternative Ordered Response Models
title_full_unstemmed Analyzing Factors Affecting Tax Morale Levels in Turkey Using Alternative Ordered Response Models
title_short Analyzing Factors Affecting Tax Morale Levels in Turkey Using Alternative Ordered Response Models
title_sort analyzing factors affecting tax morale levels in turkey using alternative ordered response models
topic tax morale, tax evasion
tax compliance
discrete choice models
url https://rtsa.ro/tras/index.php/tras/article/view/598
work_keys_str_mv AT dilekozdemir analyzingfactorsaffectingtaxmoralelevelsinturkeyusingalternativeorderedresponsemodels
AT alikemalcelik analyzingfactorsaffectingtaxmoralelevelsinturkeyusingalternativeorderedresponsemodels
AT serapbedirkara analyzingfactorsaffectingtaxmoralelevelsinturkeyusingalternativeorderedresponsemodels