Loading...
The digital divide in internet information searching: A double-hurdle model analysis of household data from vermont
Zhang, Guangxuan Wang, Qingbin Kolodinsky, Jane
Zhang, Guangxuan
Wang, Qingbin
Kolodinsky, Jane
Citations
Altmetric:
License
© 2010 The Authors and First Monday
http://rightsstatements.org/vocab/InC/1.0/
http://rightsstatements.org/vocab/InC/1.0/
License
DOI
10.5210/fm.v15i11.3118
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 to search for information 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.
Description
Date
2010-01-01
Journal Title
Journal ISSN
Volume Title
Publisher
Files
Loading...
Kolodinsky2010a.pdf
Adobe PDF, 404.95 KB
Research Projects
Organizational Units
Journal Issue
Citation
Zhang G, Wang Q, Kolodinsky J. The digital divide in Internet information searching: A double-hurdle model analysis of household data from Vermont. First Monday. 2010 Nov 8.