This paper evaluates models that exploit timely monthly releases to compute early estimates of current quarter GDP (now-casting) in the euro area. We compare traditional methods used at institutions with a new method proposed by Giannone, Reichlin and Small, 2005. The method consists in bridging...

This paper formalizes the process of updating the nowcast and forecast on output and inflation as new releases of data become available. The marginal contribution of a particular release for the value of the signal and its precision is evaluated by computing 'news' on the basis of an evolving...

There is a broad consensus in the literature that costs of information processing and acquisition may generate costly disagreements in expectations among economic agents, and that central banks may play a central role in reducing such dispersion in expectations. This paper analyses empirically...

Using synthetic data generated by a prototypical stochastic growth model, we explore the quantitative extent of measurement error of the Solow residual (Solow 1957) as a measure of total factor productivity (TFP) growth when the capital stock is measured with error and when capacity utilization...

Reduced form approaches to estimate markups typically exploit variation in observed input and output. However, these approaches ignore the presence of fixed input factors, which may result in an overestimation of the price-cost margins. We first propose a new methodology to simultaneously...

This paper develops a method to analyse large cross-sections with non-trivial time dimensions. The method: (i) identifies the number of common shocks in a factor analytic model; (ii) estimates the unobserved common dynamic component; (iii) shows how to test for fundamentality of the common...