Exploring break-points and interaction effects among predictors of the international digital divide
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Date
2006
Authors
Deichmann, J. I.
Eshghi, A.
Haughton, D.
Masnghetti, M.
Sayek, S.
Topi, H.
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Advisor
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Source Title
Journal of Global Information Technology Management
Print ISSN
1097-198X
Electronic ISSN
2333-6846
Publisher
Taylor & Francis Inc.
Volume
9
Issue
4
Pages
47 - 71
Language
English
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Journal Title
Journal ISSN
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Abstract
The deepening of the digital divide between countries has prompted international organizations and governments to work together toward reducing the problem over the next 15 years. However, such efforts will likely succeed only if they are based on a firm grasp of the divide's underlying causes. In this paper we report the results of a comprehensive analysis of the determinants of the international digital divide. Our results confirm many findings of past research, but also extend existing knowledge in important ways. By employing Multivariate Adaptive Regression Splines (MARS), we discover non-linearities and interaction effects among the predictors. We then articulate significant policy implications based upon these findings.