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...

Theoretical study identifying one modality with conditions necesary for the financial stabilization of an inherently unstable system; and 5040 other unstable dynamic modes. It draws on knowledge made available by the academic field of Control Engineering.

We estimate output growth rate spectra for 58 countries. The spectra exhibit diverse shapes. To study the sources of this diversity, we estimate the short-run, business cycle, and long-run frequency components of the sampled series. For most OECD countries the bulk of the spectral mass is in the...

This paper asks two questions. First, can we detect empirically whether the shocks recovered from the estimates of a structural VAR are fundamental? Second, can the problem of non-fundamentalness be solved by considering additional information? The answer to the firrst question is 'yes' and that...

This paper studies the co-movements of unemployment and labor productivity growth for the U.S. economy. Measures of co-movements in the frequency domain indicate that co-movements between variables differ strongly according to the frequency. First, long-term and business cycle co-movements are...

This paper investigates the asymmetric effects of monetary shocks when the=20 impact of monetary policy on real activity works through state-dependent=20 variables. We use a nonlinear model, the multiple regime smooth transition=20 autoregressive model, that allows the effects of shocks to vary...

Standard stochastic growth models provide theoretical restrictions on output decomposition which can be used to investigate whether productivity shocks played a major role in observed business cycles. Applying these restrictions to US data leads to the following findings: i) Business cycles...

Using annual and quarterly data since 1952, we estimate a fundamentals- based empirical model for the earning-price ratio of US stocks. The key fundamental-variable is a time-varying discount rate, decomposed into a time-varying measure for the real interest rate and the equity risk premium....

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...