首页    期刊浏览 2024年12月03日 星期二
登录注册

文章基本信息

  • 标题:Can the Business Tendency Survey Predict the Economic Indicators in Czechia?
  • 本地全文:下载
  • 作者:Veronika Ptáčková ; Jakub Fischer
  • 期刊名称:Statistika : Statistics and Economy Journal
  • 印刷版ISSN:0322-788X
  • 电子版ISSN:1804-8765
  • 出版年度:2020
  • 卷号:100
  • 期号:3
  • 页码:256-264
  • 语种:English
  • 出版社:Czech Statistical Office
  • 摘要:In uncertain times, it is crucial to have some statistics, which can help with the prediction of future development in the national economy. Business Tendency Survey is one of the most essential and favourite tools for predictions in economic statistics. The article aims to determine which confidence indicators help predict the Czech economic development and which base of the confidence indicators is the best for making predictions. Using the Granger causality test, we prove the Business Tendency Survey indicators are beneficial for predictions. The economic sentiment indicator and the confidence indicator for industry predict the gross value added better than the gross domestic product. The long-term average is a slightly better base than the base indices. The predictions are most accurate in the horizon of two quarters. Individual composite indicator for the industry well predicts both the industrial production index (for the next month) and the gross value added in the industry (for the next quarter).
国家哲学社会科学文献中心版权所有