Showing 1 - 10 of 38
series models and distinguishes between different forecast horizons, HICP components and inflation measures. Various … indicate that aggregating forecasts by component does not necessarily help forecast year-on-year inflation twelve months …
Persistent link: https://www.econbiz.de/10009635954
that the cyclical position and the form of fiscal governance are major determinants of forecast biases. Projected changes …
Persistent link: https://www.econbiz.de/10009636530
encompasses a general unrestricted model and it forecast encompasses the competitors when tested on 20 quarters of one step ahead …
Persistent link: https://www.econbiz.de/10009636545
We suggest an alternative use of disaggregate information to forecast the aggregate variable of interest, that is to … findings and analyse why forecasting the aggregate using information on its disaggregate components improves forecast accuracy … of the aggregate forecast of euro area and US inflation in some situations, but not in others …
Persistent link: https://www.econbiz.de/10003280663
output gap estimates and forecast horizons, the results point clearly to a lack of any usefulness of real-time output gap … forecast real GDP growth, particularly in the short term, and some appear also useful in the medium run. No single output gap …
Persistent link: https://www.econbiz.de/10003971060
; Markov-switching ; Auxiliary information ; Model averaging ; Inflation forecast ; Real-time analysis …
Persistent link: https://www.econbiz.de/10009380402
Persistent link: https://www.econbiz.de/10011349824
Persistent link: https://www.econbiz.de/10010380095
Persistent link: https://www.econbiz.de/10010195487
We study the effects of information shocks on macroeconomic and term structure dynamics in an estimated medium-scale DSGE model for the US economy. We consider news about total factor productivity and investment-specific technology, as well as foresight about monetary policy. Our empirical...
Persistent link: https://www.econbiz.de/10008935834