Back to the Classics: R-Evolution Towards Statistical Equilibria


Economic modeling struggles often with a lack of realism. The reason for that is that economic theory for the last 100 years has focused on simplifying assumptions which reduced important aspects of the economic reality. Concentrating on fix-point solutions and external statistical shocks prevented the profession from accurately describing the economy as a complex system with characteristics like feedback mechanism, evolution, and emergence. We propose a re-evaluation of major findings in the Classical economic literature. The classical literature described the economic system as inherently probabilistic. In this spirit, we discuss the importance of statistical equilibrium models as one way to model complex economic systems in a probabilistic way.

Institut für Sozioökonomie (#28), Universität Duisburg-Essen
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Bruno Miller Theodosio
Bruno Miller Theodosio
PhD candidate in Economics

Bruno Theodosio is a PhD candidate in Economics at The University of Utah. Bruno Theodosio has research interests in Political Economy, Statistical Equilibrium models and Macroeconomics.