Purpose
– The main aim of this study is to determine the factors that influence the housing demand of households in Erzurum, northeastern Turkey. Housing demand is generally affected by several factors including housing prices, individuals’ income, expectations and choices and so on, as a means of its demographic and socio-psychological contexts.
Design/methodology/approach
– A questionnaire-based cross-sectional survey was carried out, in which the outcome variable had binary responses such as whether to invest in housing or not. A binary logistic regression analysis was performed to estimate the underlying data.
Findings
– The questionnaire was conducted in 2,927 households living in Erzurum city center, and 47 per cent of the respondents claimed that they would consider investing in housing in the future. The estimation results reveal that demographic or socio-economic factors that may possibly influence housing demand of the respondents are as follows: household head’s and spouse’s occupation, monthly income, the number of individuals in the family and car ownership.
Originality/value
– This paper involves the most comprehensive survey addressing the housing demand in the East Anatolian Region, Turkey. Additionally, this paper aims to contribute to the existing housing literature through establishing the statistical analysis of housing demand in an unstudied territory of the world.
Financial literacy is a factor that has a significant effect on financial development, stabilization and the economy. This study determined the factors affecting the financial literacy levels of formal and secondary education undergraduate students at Atatürk University. The study population was formal and secondary education undergraduate students at Atatürk University. A questionnaire was sent to 1,008 students who agreed to participate in the survey in the last quarter of 2018. In the study, factors affecting the financial literacy levels of undergraduate students were determined by ordered logistic regression and ordered probit regression analysis. The ordered logistic regression model was the best according to model comparison criteria. According to the results of this model, age, class, basic science field, gender, marital status, monthly personal income, watching eco-finance news status, and economic knowledge variables were found to be factors that affected financial literacy levels. In the study, it was determined that the financial literacy levels of women, those under 25 years old, university students in science, in the fourth year and above, having a monthly personal income of ₺1251 and below, single, not watching economic and financial news and with lower economic literacy were low. This study emphasizes the need to target these groups. These groups' financial literacy levels need to be improved.
Contribution/ Originality:The study was conducted at Ataturk University. Ordered regression analyses were conducted, rendering this study a distinctive one. In this study, important determinants of financial literacy were discovered.
The main objective of this article is to determine key factors that may have a significant effect on the verbal abuse, emotional abuse and physical assault of health care workers in north-eastern Turkey. A self-administered survey was completed by 450 health care workers in three well-established hospitals in Erzurum, Turkey. Because of the discrete and ordered nature of the dependent variable of the survey, the data were analysed using four distinctive ordered response models. Results revealed that several key variables were found to be a significant determinant of workplace violence, such as the type of health institution, occupational position, weekly working hours, weekly shift hours, number of daily patient contacts, age group of the respondents, experience in the health sector, training against workplace violence and current policies of the hospitals and the Turkish Ministry of Health.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.