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Marco Mazzoli, Università degli Studi di Genova,Matteo Morini, Università degli Studi di Torino, Italy,Pietro Terna, Università degli Studi di Torino, Italy
We analyze the simulation results, considering both the dynamic of the time series of the main economicvariables of the model and their correlation structure. The attention is mainly related to the emergence of the counter cyclical markup phenomenon and to the dynamic of the market structures, ranging from tight oligopolistic constructions to the development of large atomistic markets. We elaborate on the results emerging from the simulation experiments, in the perspective both of the presence of the countercyclical markup phenomenon, and of the different market structures generated by the simulation.
Marco Mazzoli, Università degli Studi di Genova,Matteo Morini, Università degli Studi di Torino, Italy,Pietro Terna, Università degli Studi di Torino, Italy
We propose some actual data related to the GDP cycle and to the income components, to search for the presence of the counter cyclical markup. We examine some actual data related to the GDP cycle and to the income components, observing a significant presence of the counter cyclical markup.
Marco Mazzoli, Università degli Studi di Genova,Matteo Morini, Università degli Studi di Torino, Italy,Pietro Terna, Università degli Studi di Torino, Italy
Starting from the equation based construction introduced previously, we builda macroeconomic simulation model of an economic using the agent-based technique; the model is micro-founded and so our explanation starts from the behavior of the agents and of the market frameworks where they behave. The structure of the simulation model is well represented via the sequence oftwelve items. Starting from the model outline reported in the Outline, we develop a detailed description of the steps the simulation undertakes over the time, with the actions of the different kind of agents.
The birth and death of firms is one of the main features of the business cycle. Yet mainstream DGSE macroeconomic models mostly ignore this phenomenon, thereby excluding any potential impact of economic policy on the probability of the birth and death of firms. Those DGSE models that do allow for this phenomenon do so at the cost of drastic simplifications, which effectively rule out causal links between the strategic interaction of industrial firms and the macroeconomy. This innovative new book develops a bottom-up, agent-based framework that shows how strategic interactions at the level of oligopolistic firms, and even at the level of individuals, affect entire industrial sectors and the equilibrium of the macroeconomy. It will appeal to academic researchers and graduate students working in computational economics, agent-based modelling and econophysics, as well as mainstream economists interested in learning more about alternatives to DGSE models in macroeconomics.
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