A quantile regression forecasting model for ICT development
Abstract
Purpose
Because quantile regression gets more popular and provides more comprehensive interpretations, it is important to advance quantile regression for forecasting. By extending the convention quantile regression, the purpose of this paper is to propose a quantile regression-forecasting model to forecast information and communication technology (ICT) development.
Design/methodology/approach
This paper proposes an approach to forecasting based on quantile regression method.
Findings
Via quantile information criterion, the proposed approach can identify whether the independent variables are predictable. For those which are predictable, the proposed approach can be used to forecast these variables.
Practical implications
The proposed approach is used to forecast ICT development. It can also be used to forecast other problem domains.
Originality/value
Based on the empirical results, the proposed approach advances the application of quantile regression model to forecast. The applicability of quantile regression model is greatly enhanced.
Keywords
Acknowledgements
This work is partially supported by National Science Council, Taiwan, ROC, under grant NSC-100-2410-H-035-006-MY2 and NSC-102-2410-H-035-041-MY2.
Citation
Hui-Kuang Yu, T. (2014), "A quantile regression forecasting model for ICT development", Management Decision, Vol. 52 No. 7, pp. 1263-1272. https://doi.org/10.1108/MD-11-2012-0793
Publisher
:Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited