اثر سیاست های اقتصادی کاربردی در ترکیه برای فروش اتومبیل: رگرسیون چندگانه و تجزیه و تحلیل شبکه های عصبی

The main purpose of the present study is to reveal the effects of economic policies, as one of the macro environmental factors that affect the marketing, on the sale of automobiles. Eight different data sets, which include totally 72 months belonged to 2005-2010 years has been used. These data have analyzed by multiple regression and neural network method. The variables like as euro exchange, the vehicle loans rate presented by the banks and tax deduction made by the government for the automobile sector has affected the sale of automobiles; besides, the inflation rate, automobile and oil prices, income of the consumers and advertising expenditures of the businesses have no effects on the sales. In addition that multiple regression and nueral network analysis was compared with each other. Finally, neural network has better performance in the selling prediction than regression model. It is an original study that measures the effects of the macro environmental factors on the sales of automobile enterprises in Turkey.