Do macro variables, asset markets or surveys forecast inflation better?:

Surveys do! We examine the forecasting power of four alternative methods of forecasting U.S. inflation out-of-sample: time series ARIMA models; regressions using real activity measures motivated from the Phillips curve; term structure models that include linear, non-linear, and arbitrage-free specif...

Full description

Saved in:
Bibliographic Details
Main Authors: Ang, Andrew (Author), Bekaert, Geert 1964- (Author), Wei, Min 1975- (Author)
Format: Book
Language:English
Published: Cambridge, Mass. National Bureau of Economic Research 2005
Series:Working paper series / National Bureau of Economic Research 11538
Online Access:Volltext
Summary:Surveys do! We examine the forecasting power of four alternative methods of forecasting U.S. inflation out-of-sample: time series ARIMA models; regressions using real activity measures motivated from the Phillips curve; term structure models that include linear, non-linear, and arbitrage-free specifications; and survey-based measures. We also investigate several optimal methods of combining forecasts. Our results show that surveys outperform the other forecasting methods and that the term structure specifications perform relatively poorly. We find little evidence that combining forecasts using means or medians, or using optimal weights with prior information produces superior forecasts to survey information alone. When combining forecasts, the data consistently places the highest weights on survey information.
Physical Description:53 S. graph. Darst. 22 cm

There is no print copy available.

Interlibrary loan Place Request Caution: Not in THWS collection! Get full text