Comments on "Phillips Curve Inflation Forecasts" by James H. Stock and Mark W. Watson

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dc.contributor.author Pagan, AR
dc.contributor.editor Fuhrer, J
dc.contributor.editor Little, JS
dc.contributor.editor Kodrzycki, YK
dc.contributor.editor Olivei, GP
dc.date.accessioned 2012-02-23T00:37:09Z
dc.date.issued 2009-01
dc.identifier.citation Understanding Inflation and the Implications for Monetary Policy: A Phillips Curve Retrospective, 2009, 1st, pp. 187 - 193
dc.identifier.isbn 978-0-262-01363-5
dc.identifier.other B1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/17313
dc.description.abstract Stock and Watson provide a thorough (one might say exhaustive) review of the forecasting performance of many inflation models. These include models with some economics in them and others that are purely statistical. Overall, the best of the statistical models seems to be their unobserved components-stochastic volatility (UC-SV) model. This is a two-component model of the form
dc.publisher MIT Press
dc.title Comments on "Phillips Curve Inflation Forecasts" by James H. Stock and Mark W. Watson
dc.type Chapter
dc.parent Understanding Inflation and the Implications for Monetary Policy: A Phillips Curve Retrospective
dc.journal.number en_US
dc.publocation Boston, USA en_US
dc.publocation China
dc.identifier.startpage 187 en_US
dc.identifier.endpage 193 en_US
dc.cauo.name BUS.School of Finance and Economics en_US
dc.conference Verified OK en_US
dc.conference Robotics and Automation (ICRA), 2011 IEEE International Conference on
dc.for 1402 Applied Economics
dc.personcode 100844
dc.percentage 100 en_US
dc.classification.name Applied Economics en_US
dc.classification.type FOR-08 en_US
dc.edition 1st en_US
dc.custom en_US
dc.date.activity en_US
dc.date.activity 2011-05-09
dc.location.activity en_US
dc.location.activity Shanghai, China
dc.description.keywords NA en_US
dc.description.keywords Gaussian processes , Humans , Navigation , Robot sensing systems , Trajectory , Uncertainty
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Business
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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