Abstract
Abstract The purpose of this paper is to better understand the socio-economic differentials of Internet access and use. Data from '2008 Korean Internet usage behavior' were used to conduct logistic regression analysis. The findings show that there are significant socio-economic(age, gender, educational attainment, employment situation, and Internet access type) disparity in Internet access(Internet access at home, broadband Internet access). Also socio-economic variables enter in as statistically significant in most specifications for Internet use intensity (Intensive internet use, frequent internet use, less frequent internet use). The gender, household income and education attainment explanations for large differential in Internet use intensity are generally very similar. It is shown that age, education attainment and household income level cause a large digital divide on Internet service use(information use, communication and community use, e-commerce use, Internet banking use).
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