Regression Analysis of Used Car Demand Price: The Case of TR83 Region

Abstract

The automotive market, which consists of new and used vehicles, has an important place in the economy. There are many factors that affect the price in used car market. In this study, factors affecting the demand price of automobile have been revealed. The study covers urban centers located in the TR83 region. The data was obtained from companies that sold used vehicles during February-April 2015 period. Semi-logarithmic regression model was used in the study. The fact that the car brand is Mercedes is the most important factor that increases the price, while the fact that the brand is Hyundai is the most important factor that reduces the price.

Keywords

• Used Car Market,Demand Price,Hedonic Model,Asym-metric Information,TR83 Region

İkinci El Otomobil Talep Fiyatının Regresyon Analizi: TR83 Bölgesi Örneği

Abstract

Yeni ve ikinci el araçlardan oluşan otomotiv piyasası ekonomide önemli bir yere sahiptir. İkinci el otomobil piyasasında fiyatı etkileyen birçok etken vardır. Bu çalışmada otomobil talep fiyatını etkileyen unsurlar ortaya konmuştur. Çalışma TR83 Bölgesi’nde yer alan kent merkezlerini kapsamaktadır. Veriler Şubat-Nisan 2015 döneminde ikinci el araç satışı yapan firmalardan elde edilmiştir. Çalışmada yarı logaritmik regresyon modeli kullanılmıştır.  Otomobil markasının Mercedes olması fiyatı artıran en önemli unsur iken, markanın Hyundai olması fiyatı azaltan en önemli unsur olarak bulunmuştur.

Keywords

• İkinci El Otomobil Piyasası,Talep Fiyatı,Hedonik Model,Asimetrik Bilgi,TR83 Bölgesi

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