Heterogeneous effects of different factors on global ICT adoption
Hui-Kuang Yu
Journal of Business Research, 2011, vol. 64, issue 11, 1169-1173
Abstract:
Numerous studies focus on the analysis of the effects of different factors on global information and communication technology (ICT) adoption. Due to the limitations of the least squares method in showing the impact of the estimated coefficients on the mean, this study applies quantile regression to examine the heterogeneous effects of various factors on global ICT adoption. This study finds that the impacts on the tail quantiles can be very different from the impacts on the conditional means. The empirical results show that the effects at different quantile levels are very different from those at their counterpart conditional means. We also provide relevant explanations for the effects.
Keywords: Internet; Quantile regression; GDP; Ordinary least squares (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296311002049
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:64:y:2011:i:11:p:1169-1173
DOI: 10.1016/j.jbusres.2011.06.017
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().