This paper introduces custom neural network techniques to the problem of latent economic factor extraction for voluminous news analytics data. In the context of macro-financial news, we derive low-dimensional representations of time series that arise in textual sentiment analyses spanning...

We examine the degree of market power in the big four countries of the euro area using macro and firm-micro data. We focus on three main indicators of market power in and across countries: namely, the concentration ratios, the markup and the degree of economic dynamism. For the macro database we...

We examine the degree of market power in the big four countries of the euro area using macro and firm-micro data. We focus on three main indicators of market power in and across countries: namely, the concentration ratios, the markup and the degree of economic dynamism. For the macro database we...

This comment points out mismeasurement of three of the variables in the DSGE model in Del Negro, Giannoni, and Schorfheide (2015). These errors began with the model in Smets and Wouters (2007), and they also exist in other models that use the Smets-Wouters model as a benchmark. The...