Naslov
Evaluation of Factors Affecting Broadband Internet Access Using Regression Analysis

Autori
Bahovec, Vlasta ; Dumičić, Ksenija ; Čižmešija, Mirjana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
ICIT 2013 The 6th International Conference on Information Technology: CLOUD COMPUTING, May 8th-10th, 2013, Amman, Jordan / Ali Al-Dahoud - Amman : Al-Zaytoonah University of Jordan, 2013, 1-10

ISBN
978-9957-8583-1-5-

Skup
ICIT 2013 The 6th International Conference on Information Technology: CLOUD COMPUTING, May 8th-10th, May, 2013, Amman, Jordan

Mjesto i datum
Amman, Jordan, 08.05.2013. - 10.05.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
broadband Internet access; multiple linear regression; multicollinearity; Box-Ljung autocorrelation test; White’s heteroskedasticity test; Jarque-Bera test

Sažetak
In this paper the multiple linear regression analysis is performed in order to determine factors with the greatest impact on the implementation of the broadband Internet access. The data observed in the study were the available official secondary data for 2010 and the 27 countries of the European Union and Croatia as a potential future member of the EU. Since the broadband Internet access is usually measured with the broadband penetration rate, the broadband penetration rate is selected as the dependent variable in the model. Using the stepwise least squares forward selection method three of the six analysed explanatory variables are recognised as significant. The selected model includes the following explanatory variables: the percent of urban population, frequent users of the Internet and the price of local loop unbundling in the gross national income. The model passes all diagnostics tests.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija

Napomena
ICIT je citiran u bazi Inspec. Raspoloživo na: http://icit.zuj.edu.jo/icit13/Papers%20list/internet.htm

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