Multivariate Filter Estimation of Potential Output for the United States /

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Bibliographic Details
Author / Creator:Alichi, Ali, author.
Imprint:[Washington, D.C.] : International Monetary Fund, [2017]
Description:1 online resource (26 pages)
Language:English
Series:IMF Working Papers, 1018-5941 ; WP/17/106
IMF working paper ; WP/17/106.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11705271
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Other authors / contributors:Bizimana, Olivier, author.
Laxton, Douglas, author.
ISBN:9781475598605
1475598602
1475598602
1475598386
9781475598384
Notes:Print version record.
Summary: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 naive 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.
Other form:Print version: Alichi, Ali. Multivariate Filter Estimation of Potential Output for the United States. Washington, D.C. : International Monetary Fund, ©2017 9781475598384
Standard no.:10.5089/9781475598384.001