This paper analyzes the pass-through from import prices to CPI inflation in real time. Our strategy follows an event-study approach, which compares inflation forecasts before and after import price releases. Inflation forecasts are modelled using a dynamic factor procedure that relies on daily...

A new procedure for shock identification of macroeconomic forecasts based on factor analysis is proposed. The identification scheme relies on daily panels and on the recognition that macroeconomic releases exhibit a high level of clustering. A large number of data releases on a single day is of...

This paper estimates monthly pass-through ratios from import prices to consumer prices in real time. Conventional time series methods impose restrictions to generate exogenous shocks on exchange rates or import prices when estimating pass-through coefficients. Instead, our estimation strategy...

The timely release of macroeconomic data imposes a distinct structure on the panel: the clustering and sequential ordering of real and nominal variables. We call this orderly release of economic data sequential information flow. The ordered panel generates a new class of restrictions that are...