Ei ole eesti keeles kättesaadav
Marko Melolinna
- 10 June 2015
- WORKING PAPER SERIES - No. 1802Details
- Abstract
- This paper studies factors behind inflation dynamics in the euro area, the UK and the US. It introduces a factor-augmented vector autoregression (FAVAR) framework with sign restrictions to study the effects of fundamental macroeconomic shocks on inflation in the three economies. The FAVAR model framework is also applied to study the effects on inflation subcomponents in the more recent past. The FAVAR models suggest that headline inflation in the three economies has reacted in a relatively similar fashion to macroeconomic shocks over the last four decades, with demand shocks causing the most persistent effects on inflation. According to the subcomponent FAVAR models, the responses of inflation subcomponents to macroeconomic shocks have also been relatively similar in the three economies. However, there is evidence of a stronger foreign exchange channel of monetary policy transmission as well as supply shocks in the responses of non-energy tradable goods prices in the UK than the other two economies, while the reaction of services inflation has been more muted to all types of shocks in the euro area than the other two economies.
- JEL Code
- C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
- 4 May 2012
- WORKING PAPER SERIES - No. 1432Details
- Abstract
- This paper studies oil market and other macroeconomic shocks in a structural vector autoregression with sign restrictions. It introduces a new indicator for oil demand, and uniquely, performs a sign restriction set-up with a penalty function approach in an oil market vector autoregression. The model also allows for macroeconomic shocks in the US. The results underline the importance of the source of an oil shock for its macroeconomic consequences. Oil supply shocks have been less relevant in driving real oil prices, and had less of an effect on US inflation than demand shocks. Overall, the effects of oil shocks on US real activity have been relatively limited, as also highlighted by a counterfactual experiment of recent oil market developments.
- JEL Code
- C01 : Mathematical and Quantitative Methods→General→Econometrics
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles