We analyze cross-household inflation dispersion in Europe using “fictitious” monthly inflation rates for several household categories (grouped according to income levels, household size, socio-economic status, age) for the period from 1997 to 2008. Our analysis is carried out on a panel of...

We analyze cross-household inflation dispersion in Europe using "fictitious" monthly inflation rates for several household categories (grouped according to income levels, household size, socio-economic status, age) for the period from 1997 to 2008. Our analysis is carried out on a panel of 23 up...

In this paper, it is analyzed whether core money growth helps to predict future inflation in a useful and reliable way. Using an out-of-sample forecasting exercise and a stability analysis, it is shown that core money growth carries important information not contained in the inflation history,...

In this paper, it is analyzed whether core money growth helps to predict future inflation in a useful and reliable way. Using an out-of-sample forecasting exercise and a stability analysis, it is shown that core money growth carries important information not contained in the inflation history,...

We study how millions of granular and weekly household scanner data combined with machine learning can help to improve the real-time nowcast of German inflation. Our nowcasting exercise targets three hierarchy levels of inflation: individual products, product groups, and headline inflation. At...