Tobacco control policies and the multidimensional context of tobacco use by gender: The case of Türkiye.

Objective: This study aims to determine the indicators of tobacco use in Türkiye within a multidimensional context as socio-demographic, physical, behavioural, and psychological as a response to the tobacco control policies.

Methods: The Turkish Health Survey data in 2014 and 2019 are employed within a probit model approach and the differences in tobacco are decomposed use by gender in order to reveal the gender differences. The samples in 2014 (total n = 19,129; males = 8 721, females = 10,408) and 2019 (total n = 17,084; males = 7 784, females = 9300) were restricted to 15-year-old and above.

Students in Turkey During the Early Days of the COVID-19 Pandemic.

This study aims to analyse the subjective well-being of university students during the early days of the COVID-19 pandemic process and to examine how students have been affected economically, psychologically and socially. Other subjects included in the scope of the study are the suitability of the physical conditions during the process of online education, the students' motivation, and their expectations towards the future. The study also analyses the connection between these factors and the subjective well-being concepts of happiness and life satisfaction.

Bibliometric analysis of the published literature on machine learning in economics and econometrics.

An extensive literature providing information on published materials in machine learning exists. However, machine learning is still a rather new concept in the fields of economics and econometrics. This study aims to identify different properties of published documents about machine learning in economics and econometrics and therefore to draw a detailed picture of recent publications from bibliometric analysis perspectives.

What factors drive gender differences in the body mass index? Evidence from Turkish adults.

In recent years, studies show that obesity has become an important health condition, especially among adults. The first aim of this study is to examine socio-demographic and behavioural factors on body mass index distribution of male and female adults over 20 years old in Turkey. The second aim is to determine the body mass index disparity by gender and the socio-demographic and behavioural factors that might wider or narrow it.

Identifying the systemically important banks of Turkey with the CoVaR method.

The purpose of this paper is to measure the systemic risk contributions of Turkish banks and to identify the systemically important banks of Turkey during the period from 2005 to 2016. We apply the conditional value-at-risk (CoVaR) method proposed by Adrian and Brunnermeier (2009) using quantile regression. The study includes thirteen major banks of Turkey, including both public and private banks, out of a total of 52 banks.