DIFFERENCES OF OCCUPATIONAL DISEASES ACCORDING TO AGE GROUPS: PANEL DATA ANALYSIS FOR THE YEARS 2007-2016

Abstract

Every individual has to work, produce and continue his life in a way worthy of his dignity. For this reason, the maintenance of living standards is related to the individual's participation in working life. Employers and legislators should regulate and improve working conditions and conditions according to international standards. Today, one of the most important reasons for the intense occupational diseases and accidents that occur due to working conditions is related to the failure of the lawmakers to control the laws and practices. Aim: This study is in the form of analyzing the numerical data resulting from occupational diseases in terms of different variables and revealing their importance. This study was prepared to determine how the data on occupational diseases developed over the years between 2007 and 2016. Scope and Method: The 10-year data belonging to the years 2007 and 2016, arranged in different groups, prepared by TUIK, were analyzed using different analysis techniques. Data Analysis: Panel data analysis was used in this study. The data obtained from this research were analyzed with the E-Views 8.0 program. As a result of Unit root, Granger causality, Cointegration, Covariance and Regression analyzes, the existence of the relationship between occupational disease factors and how they affect each other were investigated. Conclusion: According to the unit root test results, the probability value was higher than 0.05 confidence interval. Again, the probability of a causal relationship between variables was low. It has been determined that there is a causal relationship between years and changes in occupational diseases. There is a causal relationship between age and occupational groups. It has been observed that the risk of occupational disease is high in the mining sector between the ages of 50-54, the textile sector workers in the 25-29 age group and the fiber paper production sector workers in the 35-39 age group.