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.

In the contemporary era, housing sector overwhelmingly comes into prominence more than ever along with manifold triggers such as advances in construction technology, migration density from rural to urban areas, restructuring of seismic territories, urban transformation, and substantial changes in the socioeconomic structure. The creation of more efficient living areas can be enabled by paying careful attention to the underlying changes, establishing the increase on the well-being, and more specifically, interpreting the reasons for housing demand of potential consumers. In that context, this study aims to determine the factors affecting motives for the housing demand in a Turkish province, Erzurum through a questionnaire. The questionnaire addresses the potential motives for housing demand into four main categories: owner occupancy, children's occupancy, rental income, and investment planning. The cross-sectional data of the questionnaire were analyzed using the multinomial logit model. The estimation results showed that the motives for housing demand were mostly effected by occupation and age of the respondents, however several other factors were found to have a significant effect on their motives.

Abstract

This study identifies the driving forces that contribute to the probabilities of incidence of out-of-pocket (OOP) expenditures by households in Turkey. Factors affecting the probability of OOP expenditures on medical products/devices/ supplies (MP), outpatient services (OTS), and inpatient services (ITS) are examined using the Household Budget Survey data gathered by the Turkish Statistical Institute in 2018. The study applies the multivariate probit model.The incidence of OOP spending varied with 48.9% of the households reporting OOP expenditure on MP, 22.4% on OTS, and 25.4% on ITS. The largest probability changes were associated with household disposable annual income, household type and size, age category, and having private health insurance. Gender and marital status also influenced expenditures in some categories. Lifestyle choices had small and mixed effects, with smoking and alcohol consumption lowering the probability of OOP spending. From a policy standpoint, households with the lowest incomes, large households, and those where the household head was 'others' (retiree, student, housewife, not actively working, etc.) or had a condition preventing employment seemed to report OOP expenditures less frequently and may have chosen not to receive healthcare services, leading to the need for more healthcare services later.

The concept of credit rating rooted back to mid-nineteenth century has become one of the most important elements in the world economy together with the globalization period gradually accelerating in the last two decades and increasing the interaction and sensitivity in the international markets. With the globalization and deepening in the financial markets; the effect, reliability and stability of knowledge of the actors who are in charge for directing the global capital flows have quite a big importance in terms of the decisions to be made in the future. In this process, credit rating agencies eliminating the information asymmetry between the countries and institutions who want to create financial resource by borrowing from the savings owners and foreign institutions. Credit ratings determined by the mentioned organizations are accepted as an indicator of the countries to meet the financial obligations in other words their creditworthiness. For Turkey's economy having a structure with a high level of external financing needs in terms of accelerating the growth and development process, it is inevitable to have an international creditworthiness increasing long-term investment tendency meeting foreign capitals' trust search. In this study, firstly the determinants of the credit ratings given by credit rating agencies are determined and then forecasting Turkey's future credit ratings by combining them with multivariate grey model and grey relational analysis are performed.