Real‐time weakness of the global economy
全球经济疲弱程度的实时测度AI 解读 ↓
本页整理公开书目信息,不生成学术质量评分。AI 解读根据题名及所注明的摘要或原文片段生成,未完成全文核验,可能有误;具体假设、证明与结论请核对原文。摘要保留来源文本,未经模型改写。
DOI 首次登记不等于接收或发表日期。部分更正、评论等条目没有独立摘要;缺少可靠材料时保留待补状态。
引用量采用 OpenAlex 单条关联记录,不合计多个记录;关联记录可能包含正式发表版本,不等于此版本单独引用。缺失不视为零,引用指标不代表论文质量。
关注作者按书目中的完整姓名匹配,同名和姓名变体需人工辨别。相关论文先按共享细分方向和具体方法排列,再参考通用方法与发表日期。
AI 根据所提供的论文材料归类:摘要明确采用非线性因子模型,并随宏观数据发布更新全球经济状态,直接对应宏观因子模型与实时经济监测。
全球经济疲弱程度的实时测度AI 解读 ↓
正在核对关联版本…
正在核对对应版本的资源…
Summary We propose an empirical framework to measure the real‐time weakness of the global economy. This framework relies on nonlinear factor models to identify recessionary and expansionary episodes, fitted to several macroeconomic variables, for the largest advanced and emerging economies. The country‐specific inferences are then combined to construct both a Global Weakness Index and a Global Intensity Index. As new economic data become available from different regions, this information is continually updated to provide high‐frequency, real‐time insights into (i) the strength of the global economy, (ii) the economic regions supporting this strength, (iii) country‐specific and global risk assessments, and (iv) the intensity of recessionary and expansionary episodes.