多样性(控制论)
计算机科学
构造(python库)
计量经济学
动力系数
库存(枪支)
经济
工程类
人工智能
机械工程
程序设计语言
作者
S. Borağan Aruoba,Francis X. Diebold,Chiara Scotti
标识
DOI:10.1198/jbes.2009.07205
摘要
We construct a framework for measuring economic activity at high frequency, potentially in real time. We use a variety of stock and flow data observed at mixed frequencies (including very high frequencies), and we use a dynamic factor model that permits exact filtering. We illustrate the framework in a prototype empirical example and a simulation study calibrated to the example.
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