We introduce the technique of band spectral panel regression (BSPR) to analyze global linkages across sectors and frequency bands. It relies on decomposing time series —allowably measured in mixed observation frequency— into "deviation cycle" dynamics by frequency band. We use it to compute...

We introduce the technique of band spectral panel regression (BSPR) to analyze global linkages across sectors and frequency bands. It relies on decomposing time series —allowably measured in mixed observation frequency— into “deviation cycle” dynamics by frequency band. We use it to...

We estimate a monetary policy rule for the US allowing for possible frequency dependence—i.e., allowing the central bank to respond differently to more persistent innovations than to more transitory innovations, in both the unemployment rate and the inflation rate. Our estimation method uses...

We estimate a monetary policy rule for the US allowing for possible frequency de- pendence - i.e., allowing the central bank to respond differently to persistent innovations than to transitory innovations, in both the real-time unemployment rate and the real-time inflation rate. The estimation...

We provide methods for estimating and testing multiple structural changes occurring at unknown dates in linear models using band spectral regressions. We consider changes over time within some frequency bands, permitting the coefficients to be different across frequency bands. Using standard...

We estimate a monetary policy rule allowing for possible frequency dependence - i.e. allowing the central bank to respond di¤erently to persistent innovations than to transitory innovations, in both the real-time unemployment rate and the real-time inflation rate. The method is flexible, and...