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.

No abstract

Satın almakarar sürecinde tüketiciler veri kaynağı olarak birçok unsuru kullanmaktadır. Sosyal bir varlık olmanın getirdiği dürtü ve teknolojide yaşanan gelişmeler satın alım karar sürecinde ağızdan ağıza iletişimi ön plana çıkarmış ve söz konusu iletişimin çevrimiçi gerçekleştirilmesine olanak sağlamıştır. Bu çalışma, bu noktadan hareketle, turizm endüstrisine odaklanmakta ve tatil satın alım davranışları üzerinde diğer müşteriler tarafından oluşturulan görüşlerin etkisini araştırmayı amaçlamaktadır. Çalışmanın veri toplama sürecinde ülkenin en eski ve en çok kullanılan tatil web sitelerinden olan tatilsepeti.com'dan yararlanılmıştır. Veri analizi evresinde yarı-logaritmik model kullanılmıştır. Çalışmanın sonuçları müşteri görüşlerinin satın alım karar süreci üzerindeki etkisinin altını çizmektedir.

In this article, sustainability of the current account deficit (CAD) for BRICS countries is analyzed in a nonlinear framework. In this respect, Harvey, Leybourne, and Xiao (2008) linearity test and the unit root tests of Sollis (2009) and Kruse (2011) are used. The analysis is based on the quarterly current account (CA) balances as percentages of gross domestic product. Results indicate that the CADs are unsustainable for Brazil and India. However, the sustainability hypothesis is valid for South Africa when considering size nonlinearity.

In order to examine the long-term relationship between capital goods importation and minimum wage, autoregressive distributed lag (ARDL) bounds testing approach to the cointegration is used in the study. According to bounds test results, a cointegration relation exists between the capital goods importation and the minimum wage. Therefore an ARDL(4,0) model is estimated in order to determine the long and short term relations between variables. According to the empirical analysis, there is a positive and significant relationship between the capital goods importation and the minimum wage in Turkey in the long term. A 1% increase in the minimum wage leads to a 0.8% increase in the capital goods importation in the long term. The result is similar for short term coefficients. The relationship observed in the long term is preserved in short term, though in a lower level. In terms of error correction model, it can be concluded that error correction mechanism works as the error correction term is negative and significant. Short term deviations might be resolved with the error correction mechanism in the long term. Accordingly, approximately 75% of any deviation from equilibrium which might arise in the previous six month period will be resolved in the current six month period. This means that returning to long term equilibrium progresses rapidly.