ELDERLY ANALYSIS OF TURKEY TSI DATA FOR 2011-2015

Old age is a biological, chronological and social process that is hard to prevent. It is foreseen according to the projections made for the future that the world’s population will reach to 7.5 billion in the year 2020 and the population group aged sixty and above will reach to 1 billion. The needs of aging population change by the years. In this regard, society’s knowledge about the elderly population is important in terms of creating health policies about elderly people and planning the services to be offered to them. The purpose of our study is to conduct an analysis on elderly population in our country for the period between 2011 and 2015 by some variables and to create a data source relevant to the subject. Material and Method: This study was based on TSI-News Bulletin / data of Elderly Statistics – 2015. The variables were determined for the period 2011-2015. Data obtained from this study were analyzed with E-Views 8.0 program. The factors affecting the industrial production at most were established following the regression and correlation analyses conducted. The method of panel data analysis was used in analysis of data. Findings: One-unit of increase in the number of elderly people by years increases the number of dependent people by 0,003 units. One-unit of increase in the number of patients with Alzheimer by years increases the number of total dependent people by 0,002 units. A percentile increase in the number of total married elderly people by years increases the total number of happy elderly by 4.2 units. Oneunit of increase in the number of total dependent people by years increases the total number of unhappy people by 1.16 units. One-unit of increase in the number of elderly satisfied with their health condition by years increases the number of happy individuals by 1.54 units. One-unit of increase in the number of total dependent people by years increases the number of those not satisfied with their health condition by 3.21 units. Conclusion: There is a correlation between variables. It has been determined that as none of the variables include unit root, they can be used in future analyses. The causality relation between the variables of old age statistics can be analyzed.