Does information help recovering structural shocks from past observations?

This paper asks two questions. First, can we detect empirically whether the shocks recovered from the estimates of a structural VAR are truly structural Second, can the problem of nonfundamentalness be solved by considering additional information? The answer to the first question is “yes” and that to the second is “under some conditions”. JEL Classification: C32, C33, E00, E32, O3C33, E00, E32, JEL Classification: C32, O3

Asset prices, debt constraints and inefficiency

In this paper, we consider economies with (possibly endogenous) solvency constraints under uncertainty. Constrained ine±ciency corresponds to a feasible redistribution yielding a welfare improvement beginning from ev- ery contingency reached by the economy. A sort of Cass Criterion (Cass [10]) completely characterizes constrained ine±ciency. This criterion involves only observable prices and requires low interest rates in the long-run, exactly as in economies with overlapping generations. In addition, when quantitative limits to liabilities arise from participation constraints, a feasible welfare im- provement, subject to participation, coincides with the introduced notion of constrained ine±ciency.Private debt; solvency constraints; default; Cass Criterion; asset

Nowcasting

We define nowcasting as the prediction of the present, the very near future and the very recent past. Crucial in this process is to use timely monthly information in order to nowcast key economic variables, such as e.g. GDP, that are typically collected at low frequency and published with long delays. Until recently, nowcasting had received very little attention by the academic literature, although it was routinely conducted in policy institutions either through a judgemental process or on the basis of simple models. We argue that the nowcasting process goes beyond the simple production of an early estimate as it essentially requires the assessment of the impact of new data on the subsequent forecast revisions for the target variable. We design a statistical model which produces a sequence of nowcasts in relation to the real time releases of various economic data. The methodology allows to process a large amount of information, as it is traditionally done by practitioners using judgement, but it does it in a fully automatic way. In particular, it provides an explicit link between the news in consecutive data releases and the resulting forecast revisions. To illustrate our ideas, we study the nowcast of euro area GDP in the fourth quarter of 2008. JEL Classification: E52, C53, C33factor model, forecasting, news, Nowcasting

Large Bayesian VARs

This paper shows that Vector Autoregression with Bayesian shrinkage is an appropriate tool for large dynamic models. We build on the results by De Mol, Giannone, and Reichlin (2008) and show that, when the degree of shrinkage is set in relation to the cross-sectional dimension, the forecasting performance of small monetary VARs can be improved by adding additional macroeconomic variables and sectoral information. In addition, we show that large VARs with shrinkage produce credible impulse responses and are suitable for structural analysis. JEL Classification: C11, C13, C33, C53Bayesian VAR, forecasting, large cross-sections, Monetary VAR