Establishment of Comprehensive Evaluation Indicators in Globalized National Image Using Quantile-Type Statistical Methods

National image is a comprehensive reflection of country’s performance on international stage and could be affected by an enormous amount factors. To evaluate national image, the paper screens key variables using lasso penalized quantile regression first then proposes evaluation indicator modified partial least square algorithms based quantile-based third-order latent variable model. After data processing procedure, we choose 223 indicators 61 economies from International Institute for Management Development World Competitiveness Yearbook. All can summarized into four dimensionsthey are Economic Performance, Government Efficiency, Business Efficiency Infrastructure. Each dimension reflected 5 sub-dimensions, each sub-dimension contains different numbers indicators. Based real data, accomplish get conclusions according to explored interest.