Giorgio Fagiolo is associate professor of economics at the Sant’Anna School of Advanced Studies in Pisa, Italy, where he holds a tenured position in the Laboratory of Economics and Management. He holds a bachelor’s degree in mathematical statistics from the University of Rome “La Sapienza” and a Ph.D. in economics from the European University Institute in Florence, Italy. His main areas of scientific interest include agent-based computational economics, complex networks, evolutionary games, industrial dynamics, and economic methodology (with particular emphasis on the scientific status of agent-based computational economics; empirical validation of economic models; and their policy-related implications). His papers have been published in Science, Journal of Economic Geography, Journal of Applied Econometrics, Journal of Economics Dynamics and Control, Computational Economics, Physical Review E, Journal of Economic Behavior and Organization, Industrial and Corporate Change, Advances in Complex Systems, Journal of Evolutionary Economics, European Physical Journal B, and Journal of Economic Interaction and Coordination, as well as in several peer-reviewed book chapters. He is currently director of the international doctoral program in economics at Sant’Anna School of Advanced Studies in Pisa.
By this expert
In this paper we explore the effects of alternative combinations of fiscal and monetary policies under different income distribution regimes.
To what extant do existing mainstream models properly address issues such as heterogeneity and interactions, which are considered central ingredients to understand economic crises as emergent, endogenous phenomena.
Recent empirical findings suggest that macroeconomic variables are seldom normally distributed.
This work studies the interactions between income distribution and monetary and fiscal policies in terms of ensuing dynamics of macro variables (GDP growth, unemployment, etc.) on the grounds of an agent-based Keynesian model.