This paper provides some further tests for the proposition that a larger public sector leads to smaller output volatility. Both Gali and Fatas & Mihov have provided some evidence which appears to support this proposition. Their evidence is, however, based on a relatively small sample of...

This paper examines the impact of macroeconomic policy shocks in a Real- Business-Cycle Model with money. In addition to technology shocks, I include government consumption, government investment, tax rate and monetary policy as sources of random disturbances. Money is introduced in a...

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...

This paper explores 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 proposes and assesses the performances of different and...

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...

In this paper we reconcile two opposing views about the elasticity of intertemporal substitution in consumption (EIS). Empirical studies using aggregate consumption data typically find that the EIS is close to zero (Hall, 1988). Calibrated models designed to match growth and fluctuations facts...

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...

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...