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Multivariate Filter Estimation of Potential Output for the United States, Ali Alichi, Olivier Bizimana, Douglas Laxton, Kadir Tanyeri, Hou Wang, Jiaxiong Yao, Fan Zhang

Abstract
Estimates of potential output are an important component of a structured forecasting and policy analysis system. Using information on capacity utilization, this paper extends the multivariate filter developed by Laxton and Tetlow (1992) and modified by Benes and others (2010), Blagrave and others (2015), and Alichi and others (2015). We show that, although still fairly uncertain, the real-time estimates from this approach are more accurate than estimates constructed from naïve univariate statistical filters. The paper presents illustrative estimates for the United States and discusses how the end-of-sample estimates can be improved with additional information
Language
eng
Literary Form
non fiction
Physical Description
1 online resource (24 pages), illustrations (some color), tables, graphs.
Specific Material Designation
remote
Form Of Item
online
Isbn
9781475598605

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