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.

The goal of this paper is to provide a fair empirical comparison of two alternative explanations of the relationship between aggregate price and output. We compare the empirical performance of the sticky price and the Mankiw and Reis (2002) sticky information models. We put both models in a...

In this paper, I use a structural VAR model and the Kalman filter to estimate the natural rate of interest (NRI) in Poland. I show how the NRI can yield important information for a central banker. First, estimation of the NRI can be helpful for monetary authorities, seeking to stabilize...

This paper gives an overview of some issues related to market aluation, focusing on the developments on the New York equity markets. The 42.4 p.c. fall in the S&P 500 price index between 24 March 2000 - when it reached its all-time high - and 31 December 2002 is situated in a very long term...

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...

Using the Hodrick-Prescott filter, this paper examines the cyclical properties of the Italian labour market. Its main contribution is the empirical analysis of three different labour inputs - regular employees, regular self-employed and underground workers. Results from VAR models support the...

The paper develops a non-parametric, non-stationary framework for business-cycle dating based on an innovative statistical methodology known as Adaptive Weights Smoothing (AWS). The methodology is used both for the study of the individual macroeconomic time series relevant to the dating of the...

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...