2013
DOI: 10.2139/ssrn.2265274
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Has the Digital Divide Been Reversed? Evidence from Five EU Countries

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Cited by 10 publications
(15 citation statements)
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“…For Europe, the same pattern has been reported by Hadhri et al (2012) and Pantea and Martens (2014), which led the latter to wonder whether the "digital divide" had been reversed. In the same vein, Orviska and Hudson (2009) report a negative effect of income on the probability of using several internet applications.…”
Section: Introductionmentioning
confidence: 65%
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“…For Europe, the same pattern has been reported by Hadhri et al (2012) and Pantea and Martens (2014), which led the latter to wonder whether the "digital divide" had been reversed. In the same vein, Orviska and Hudson (2009) report a negative effect of income on the probability of using several internet applications.…”
Section: Introductionmentioning
confidence: 65%
“…Thus, according to this interpretation, the inverse relationship between income and time spent online observed among users would be the result of a negative own-price effect created by cross-people variation in the income they could earn in the labor market. But Pantea and Martens (2014) have cast doubt on this interpretation finding that the effect of income on time spent online among employed users (whose opportunity cost of time is more likely to be related to wages and hence income), is virtually the same as the effect observed among nonemployed users.…”
Section: Introductionmentioning
confidence: 99%
“…In line with previous studies (Goldfarb & Prince, 2008;Pantea & Martens, 2014), we assume that preferences for the internet good relative to the composite good depend on users' gender, age, marital status, household size, 14 education, occupation, and region of residence. Table 5 presents the definition of these variables and their descriptive statistics.…”
Section: Income and Other Demographic Characteristicsmentioning
confidence: 98%
“…One concern is that high income and low income consumers may differ systematically in their preferences for the internet good, which would lead to biased estimates of σ. There is some empirical evidence that this might be the case (Goldfarb & Prince, 2008;Pantea & Martens, 2014). We address this potential problem by allowing the internet users' preferences for the internet good relative to the composite good to depend on their occupation and education.…”
Section: Estimation Strategymentioning
confidence: 99%
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