01860cas a2200277 a 4500 AALejournalIMF017621 230101c9999 xx r poo 0 0eng d 5.00 USD 9781475598384 1018-5941 BD-DhAAL BD-DhAAL Alichi, Ali. Multivariate Filter Estimation of Potential Output for the United States / Ali Alichi, Olivier Bizimana, Douglas Laxton, Kadir Tanyeri. Washington, D.C. : International Monetary Fund, 2017. 1 online resource (25 pages) IMF Working Papers <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required Electronic access restricted to authorized BRAC University faculty, staff and students 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. Mode of access: Internet Bizimana, Olivier. Laxton, Douglas. Tanyeri, Kadir. IMF Working Papers; Working Paper ; No. 2017/106 Full text available on IMF http://elibrary.imf.org/view/journals/001/2017/106/001.2017.issue-106-en.xml IMF e-Library