Improving real-time estimates of output gaps and inflation trends with multiple-vintage models

Arbeitspapier

Real-time estimates of output gaps and inflation trends differ from the values that are obtained using data available long after the event. Part of the problem is that the data on which the real-time estimates are based is subsequently revised. We show that vector-autoregressive models of data vintages provide forecasts of post-revision values of future observations and of already-released observations capable of improving real-time output gap and inflation trend estimates. Our findings indicate that annual revisions to output and inflation data are in part predictable based on their past vintages.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Working Paper ; No. 678

Classification and Topics

• Classification: Wirtschaft ; Forecasting Models; Simulation Methods
• Subject: revisions ; real-time forecasting ; output gap ; inflation trend ; Prognose ; Gesamtwirtschaftliche Produktion ; Inflation ; Schätztheorie

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Clements, Michael P. ; Galvão, Ana Beatriz
• Event: Veröffentlichung
• (who): Queen Mary University of London, School of Economics and Finance
• (where): London
• (when): 2011

Further information

• Handle: http://hdl.handle.net/10419/55157
• Last update: 10.03.2025, 11:45 AM CET