Make Money Surfing the Web? The Impact of Internet Use on the Earnings of U.S. Workers

By Paul Dimaggio, Bart Bonikowski. 2008

296 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Media Technology

View Paper: https://www.semanticscholar.org/paper/37a73e1339c92636a7dcdbc149867aa1337c69fb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Avi Goldfarb
2. J. Schradie
3. Eszter Hargittai
4. Y. Cohen
5. Weihua An
6. Catherine E. Tucker
7. T. Kristal

In Media Technology

1. A. V. van Deursen
2. J. Schradie
3. Ellen J. Helsper
4. Eszter Hargittai
5. Kerry Dobransky
6. Avi Goldfarb
7. Weihua An
8. Catherine E. Tucker

Citations in the corpus

• Privacy Regulation and Online Advertising (2010, background): “To address this concern, we note that the demographic profile of the respondents appears to be representative of the general population of Internet users in terms of average income, age, and time spent online (DiMaggio and Bonikowski 2008), although with a slightly larger proportion of women.”
• The causes of rising wage inequality: the race between institutions and technology (2016, background): “Recently, a few studies have questioned the assumption that SBTC is the only mechanism through which computerization increases inequality (DiMaggio and Bonikowski, 2008).”
• The digital production gap: The digital divide and Web 2.0 collide (2011, background): “Existing stratification and mobility theoretical frameworks of Internet use (DiMaggio and Bonikowski, 2008; Hargittai, 2008) also require an examination of media and democracy theories.”
• 4. Bayesian Propensity Score Estimators: Incorporating Uncertainties in Propensity Scores into Causal Inference (2010, background): “The issues involved range from sociology of education (e.g., Crosnoe 2009; Xie and Wu 2005), Internet use and earnings (DiMaggio and Bonikowski 2008), unemployment and earnings (Gangl 2006), arrest and wife battery (Berk and Newton 1985), neighborhood effects (Ludwig et al. 2008), sociology of…”
• Unrealized potential: Exploring the digital disability divide (2016, background): “For instance, DiMaggio and Bonikowski (2008) found that, among U.S. workers, use of the Internet is associated with increased wages over time, whether that use is in the workplace or at home.”
• Technology and Education: Computers, Software, and the Internet (2015, unknown): “See Autor (2001), Autor et al. (1998), DiMaggio and Bonikowski (2008), DiNardo and Pischke (1997), Freeman (2002), and Krueger (1993) for a few examples.”
• The Third-Level Digital Divide: Who Benefits Most from Being Online? (2015, background): “17 Studies regarding the effects of internet use on economic outcomes have already revealed that, in societal contexts where internet usage is less uni19 form than in the Netherlands, more intensive internet usage can lead to increased employment earnings (DiMaggio & Bonikowski, 2008).”