Digital technologies have been experiencing in the last thirty years a considerable development which has radically changed our economy and lives. In particular, the advent of new intangible technologies, represented by software, artificial intelligence and deep learning algorithms, has deeply...

The aim of this paper is to explore under which conditions a representative agent (RA) model is able to correctly approximate the output of a more realistic model based on the "true" assumption of many interacting agents. The starting point is the widespread Keynesian cross diagram, which is...

The paper presents an agent-based model of a credit economy which includes a securitisation process and a bailout mechanism for banks' bankruptcies. Within this model's framework banks are able to sell mortgages to a Financial Vehicle Corporation, which finances its activity by creating...

During the last twenty years, we have witnessed the deep development of digital technologies. Artificial intelligence, software and algorithms have started to impact more and more frequently in our daily lives and most people didn't notice it. Recently, economists seem to have perceived that...

During the last decades, we have witnessed a strong development of intangible digital technologies. Software, artificial intelligence and algorithms are increasingly affecting both production systems and our lives; economists have started to figure out the long-run complex economic implications...

Since the last 30 years, the economy has been undergoing a massive digital transformation. Intangible digital assets, like software solutions, web services, and more recently deep learning algorithms, artificial intelligence and digital platforms, have been increasingly adopted thanks to the...

Major structural changes to the current fossil-fuel based economic system are needed in order to address the climate change challenge. To this purpose, effective Renewable Energy Sources (RES) support policies, along with concrete efforts towards the improvement of energy efficiency, have been...

We study the effects of loans and mortgages securitisation on business cycles by using a large-scale agent-based stock-flow consistent macroeconomic model and simulator, that we enriched by including a financial vehicle corporation (FVC), that buys loans and mortgages from banks and issues ABSs...

The neoclassical growth model is extended to include limitations in the forecasting capability of a rational individual, who can predict the future state of the economy only for a short time horizon. Long-term predictions are formulated according to uninformed expectations, relying solely on...

We analyse the time evolution of the empirical cross-sectional distribution of firms profit and growth rates. In particular, we analyse the conditional properties of the empirical distributions depending on the size of the firms and business cycle phase. In order to do so, we employ the Laplace...