The digital divide in Internet information searching: A double-hurdle model analysis of household data from Vermont

  • Guangxuan Zhang University of Vermont
  • Qingbin Wang
  • Jane Kolodinsky
Keywords: digital divide, Internet information search, double-hurdle model, Vermont

Abstract

While most studies on the digital divide in the United States focus on disparities in access to computers and the Internet, this study examines the digital divide in Internet information searching. With data from 476 Vermont households surveyed in 2009, a double-hurdle model is used to identify the factors that impact the likelihood and frequency of using the Internet for information searching. Empirical results suggest that there are significant disparities in both the likelihood and frequency of online information searching in Vermont and that these disparities are closely associated with several socioeconomic and demographic factors such as education level, income, and age. Also, the impacts of some variables on the likelihood to use the Internet are different from their impacts on the frequency of using the Internet for information searching. These research findings are expected to be useful when developing programs and policies for reducing the digital divide.

Author Biography

Qingbin Wang
Professor, Department of Community Development and Applied Economics, University of Vermont.
Published
2010-11-08
How to Cite
Zhang, G., Wang, Q., & Kolodinsky, J. (2010). The digital divide in Internet information searching: A double-hurdle model analysis of household data from Vermont. First Monday, 15(11). https://doi.org/10.5210/fm.v15i11.3118