Determinants of Mobile Penetration to Forecast New Broadband Adoption: OECD Case

Abstract

This paper aims to analyze relationship between Mobile penetration and various indicators of communication infrastructure throughout OECD countries. Panel data is utilized for the purpose of this study. In order to control network effects as well as the endogeneity of variables, the Arellano–Bond dynamic panel estimation is adopted. In particular, this paper attempts to identify what are the factors to promote the 3G mobile phone by using dynamic panel data analysis. In constructing an estimation model, Cellular mobile penetration is taken as a dependent variable, while various technical and economic variables are selected as independent variables. The obtained results can be used to forecast adoption of New Broadband Penetration technology. 

Yeni Geniş Bant Adaptasyonunu Tahminlemede Mobil Penetrasyonun Belirleyicileri: OECD Örneği

Öz

Bu makalede mobil penetrasyon ile iletişim altyapısının çeşitli göstergeleri arasındaki ilişki OECD ülkeleri genelinde analiz edilmektedir. Bu amaçla panel data yöntemi kullanılmıştır. Değişkenlerin içsellik sorunu ve ağ etkilerini kontrol edebilmek için Arellano-Bond dinamik panel tahmini uygulanmıştır. Özel olarak bu makale, ilerideki çalışmalarda 4G kullanımını tahminleyebilmek için dinamik panel data analizini kullanarak 3G kullanımı etkileyen faktörleri belirlemeye çalışmaktadır. Bu amaçla bir tahmin modeli oluştururken cep telefonu penetrasyonu bağımlı değişken olarak, çeşitli teknik ve ekonomik değişkenler de bağımsız değişkenler olarak alınmıştır. Elde edilen sonuçlar yeni geniş bant penetrasyon teknolojisinin adaptasyonunu tahmin etmek için kullanılabilecektir.

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