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Throughout history, mankind has been almost constantly involved in an immigration movement. Almost all countries on earth are affected by migration. People sometimes have to leave by their own will and sometimes forced to migrate as well. The factors that cause this situation are natural, economic, social and political. In Turkey, the migration gained pace especially since the 1950s. The causes of this phenomenon are increased mechanization in agriculture, rapid urbanization and civil service assignments. The purpose of this study is to examine the determining factors of internal immigration between the provinces of Turkey through development indicators in the period of 2008-2015 with count data regression analysis and artificial neural network. In addition, using count data analysis and artificial neural networks are used to determine the best estimation method for performing internal migration forecasting in Turkey.

Analyzing the Determining Factors of Internal Migration in Turkey in terms of Regional Socio-economic Development Level