One strand of the recent literature on the monetary transmission process has focued upon the weak empirical evidence of a liquidity effect in the U.S. This study uses structural VAR methods to reexamine the liquidity effect.

We impose a structure on the short-run market inefficiencies in the asset markets and use this structure to identify a structural vector autoregressive model. This novel identification method is based on more reasonable assumptions than the standard approaches and also gives estimates for...

We assess the correlation of supply and demand shocks between current countries in the euro area and EU accession candidates from 1993/1995 to 2002. Supply and demand shocks are recovered from estimated structural VAR models of output growth and inflation. Notably, the economic slowdown between...

This paper introduces an upgraded version of MSVARlib, a Gauss and Ox- Gauss compliant library, focusing on Multivariate Markov Switching Regressions in their most general specification. This new set of procedures allows to estimate, through classical optimization methods, models belonging to...

This article explores by an econometric approach the permanent income hypothesis. The classical cointegration analysis applied by Cochrane and the Kalman filter technology with correlated error components are used. The latter approach compared with the former reveals a clear rejection of PIH for...

A controversial result of some current research on the real business cycles is the claim that a common stochastic trend(the cumulative effect of permanent shocks to productivity)underlies the bulk of economic fluctuations. If confirmed, this will imply that many other forces have been relatively...

In this paper we propose a simple model to forecast industrial production in Italy. We show that the forecasts produced using the model outperform some popular forecasts as well as those stemming from a trading days- and outlier-robust ARIMA model used as a benchmark. We show that the use of...

This paper introduces a new open source Gauss library to estimate Multivariate Hidden Markov Models (HMM) in their simpler specification. These new programs are based upon the works of Hamilton (1994) and Krolzig (1998) and allow assessment of models with 2, 3 or 4 states through classical...

A methodology based on the multivariate generalized Butterwoth filter for extracting the business cycles of the whole economy and of its productive sectors is developed. The method is then illustrated through an application to the Italian gross value added time series of the main economic sectors.

This paper explores 35 years of the American business cycle with the Hidden Markov Model (HMM) as a monitoring tool using monthly data. It exhibits ten US time series, which offer reliable information to detect recessions in real time. It also assesses the performances of different and...