Akademik Veri Yönetim Sistemi
EKONOMETRİ VE İSTATİSTİK , sa.27, ss.29-50, 2017 (Hakemli Dergi)
The growing unemployment rates continue to be a global problem. While some countries, e.g., Germany, Holland,
and Denmark are successful in both economic growth and development, others only show economic growth but
not development. The reasons are different in each country. Turkey's unemployment problem is usually associated
with economic growth, which is regarded as not high enough, but economic development is still expected to
increase. However, when we look at the big picture, not increasing economic development can cause
unemployment rates to rise. Increased prosperity expected from growth does not reach the public, and the gap
between rich and poor increases with a higher Gini coefficient. In this study, unemployment rates in Turkey are
based on fuzzy linear regression. Sometimes researchers encounter fuzzy relationships between variables, fuzzy
variables, small sample problems, or nonlinear functional relationships. In such cases, fuzzy regression analysis
can help researchers make estimations without having to transform the data set. Assumptions in classical regression
need not be proved for fuzzy regression and it does not require normally distributed data, stability tests, infinite
trials (large samples), or any other transformation for linearization. It handles data literally and makes truthful
estimations.