Türkiye’de Bilgisayar Sahipliğini Etkileyen Faktörler: Logit ve Bivariate Probit Yaklaşımları

Dünya, sırasıyla PC, laptop ve tablet kullanımının yaygınlaşmasını takiben daha dijital hale gelmiştir. Bu bağlamda çalışmada önemi giderek artan bilişim teknolojisi ürünleri sahipliği, TÜİK’in 2020 yılı Hanehalkı Bilişim Teknolojileri Kullanım Araştırması Mikro Veri Seti kullanılarak analiz edilmiş, bu ürünlerin sahipliğini etkileyen faktörlerin belirlenmesi amaçlanmıştır. Çalışmada logit modeli ile bilgisayar; bivariate probit modelleriyle PC, laptop ve tablet sahipliğini etkileyen faktörler ayrı ayrı analiz edilmiştir. Logit modeli sonucunda bilgisayar sahipliğini; yaş ve hane büyüklüğünün negatif; gelir, eğitim düzeyi, çalışıyor olma, internet kullanım sıklığı ve online eğitim almanın pozitif etkilediği tespit edilmiştir. Bivariate probit modelleriyle ise yüksek gelir ve eğitim düzeyinin PC sahipliğini negatif, laptop ve tablet sahipliğini pozitif; online eğitim almanın, PC ve laptop sahipliğini pozitif, tablet sahipliğini negatif etkilediği bulunmuştur.

Anahtar Kelimeler:

Bilgisayar Sahipliği, Kişisel Bilgisayar (PC), Laptop, Tablet, Logit ve Bivariate Probit

The Factors Affecting Computer Ownership in Turkey: Logit and Bivariate Probit Approaches

The world has turned to be more digitalised following the penetration of PCs laptops and tablets. In this context, the ownership of the products of information technologies, which has becoming more crucial, is analysed by utilising the Survey on Information and Communication Technology (ICT) Usage in Households and by Individuals, 2020 of Turkish Statistical Institute is utilised and it is aimed to determine the factors that affect the ownership of related products. In the study, logit model is estimated for determining the computer ownership while and bivariate probit models are estimated for determining the factors affecting PC, laptop and tablet ownership. With logit model, it is determined that age and household size affect computer ownership negatively while income, education, working, internet usage and online trainings positively. Through bivariate probit models, it is found that income and education affects PC ownership negatively and inclines households to laptop and tablet ownership; and taking online trainings affects PC and laptop ownership positively but tablet ownership negatively.

Keywords:

Computer Ownership, Personal Computer (PC), Laptop, Tablet, Logit and Bivariate Probit,

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