This paper studies how the interplay between technological shocks and financial variables shapes the properties of macroeconomic dynamics. Most of the existing literature has based the analysis of aggregate macroeconomic regularities on the representative agent hypothesis (RAH). However, recent...

In this paper, we perform an empirical comparison of Italian and US business cycles. After filtering the time series of the main macroeconomic variables of the two countries, through an approximate bandpass filter, we analyze the cross-correlations between each filtered variable and the filtered...

We study the impact of alternative detrending techniques on the distributional properties of U.S. output time series. We detrend GDP and industrial production time series employing first-differencing, Hodrick-Prescott and bandpass filters. We show that the resulting distributions can be...

This paper studies how the interplay between technological shocks and financial variables shapes the properties of macroeconomic dynamics. Most of the existing literature has based the analysis of aggregate macroeconomic regularities on the representative agent hypothesis (RAH). However, recent...

In this paper, we perform an empirical comparison of Italian and US business cycles. After filtering the time series of the main macroeconomic variables of the two countries, through an approximate bandpass filter, we analyze the cross-correlations between each filtered variable and the filtered...

The authors build a simple agent-based model populated by households with heterogenous and time-varying financial conditions in order to study how fiscal multipliers can change over the business cycle and are affected by the state of credit markets. They find that deficit-spending fiscal policy...

In this paper, we investigate the causal effects of public and private debts on U.S. output dynamics. We estimate a battery of Cointegrated Structural Vector Autoregressive models, and we identify structural shocks by employing Independent Component Analysis, a data-driven technique which avoids...