Browsing by Author "Celik, Ali Kemal"
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Article Citation - WoS: 3Analyzing Factors Affecting Tax Morale Levels in Turkey Using Alternative Ordered Response Models(Babes-Bolyai University, 2019) Ozdemir, Dilek; Celik, Ali Kemal; Bedir Kara, SerapThe 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.Article Citation - WoS: 1An Ordered Logit Analysis of Inpatient and Outpatient Satisfaction in a Turkish State Hospital(Istanbul Univ, 2014) Celik, Ali Kemal; Oktay, Erkan; Akbaba, Ahmet IlkerThis study is an attempt to identify and better understand the key drivers of inpatient and outpatient satisfaction through an empirical analysis. A cross-sectional survey was administered among five hundred and eleven adult patients who had received care at various units of a Turkish state hospital. An ordered logit approach was used to analyze the underlying data due to the natural ordering responses of patients' satisfaction levels. The estimation results revealed that re-visit intention, general cleanliness of the hospital, trust to physician and other caregivers' courtesy had significant impact on patient satisfaction. Moreover, level of education, gender, current residence and type of patient were other influential drivers of satisfaction. This paper aims to contribute to the existing literature by modelling the inpatient and outpatient satisfaction predictors in a relatively least-developed region of Turkey, where little work was done. The results of this study may propose a road map for both the current region and the relevant least developed territories as a means of providing improved health care services.

