Taught by Neil Lancastle (University of Leicester), Antoine Godin (University of Pavia), Eugenio Caverzasi (University of Pavia)
SFC Workshop, Kemmy Business School, University of Limerick, 26-27 of August 2013
After a first very fruitful workshop in Dijon, we now turn to a second workshop in Limerick.
In the first document we tried to classify the purposes of the meetings. However it was probably too ambitious seeking to structure the three workshops by topics: 1) state of art, 2) empirical issues and 3) theoretical aspects.
Stock ﬂow consistent macroeconomic models suffer from the lack of a coherent estimation method due to the complicated nature of the modeling process. This paper provides a candidate estimation method that determines the values of each stock and flow simultaneously by analytically solving any stock flow model, and converting the estimation into a global minimization problem in p − k dimensions. We describe the method and apply it to a canonical model using real-world data. The method estimates the parameters and flows reliably.
In most economies, the potential of saving energy via insulation and more efficient uses of electricity is important. In order to reach the Kyoto Protocol objectives, it is urgent to develop policies that reduce the production of carbon dioxide in all sectors of the economy. This paper proposes an analysis of a green-jobs employer-of-last-resort (ELR) program based on a stock-flow consistent (SFC) model with three productive sectors (consumption, capital goods, and energy) and two household sectors (wage earners and capitalists).
The structuralist and Stock Flow Consistent (SFC) approaches share some common grounds. Computable General Equilibriums (CGE) models, often used by structuralists, are based on Social Accounting Matrices, which are close SFC’s Transaction Flow Matrices. However, the analysis of structuralists model is more on the meso-level while SFC models are rather at macro-level. Our paper is a step, following Missaglia (2011), towards the creation of a structuralist/SFC model.
Schumpeter, a century ago, argued that boom-and-bust cycles are intrinsically related to the functioning of a capitalistic economy. These cycles, inherent to the rise of innovation, are an unavoidable consequence of the way in which markets evolve and assimilate successive technological revolutions. Furthermore, Schumpeter's analysis stressed the fundamental role played by finance in fostering innovation, in defining bank credit as the "monetary complement" of innovation.
Schumpeter showed that the boom and bust cycles are intrinsically related to the functioning of the capitalist economy. These boom and bust cycles are inherent to the rise innovation. Our paper analyses innovation cycles in a stock flow consistent framework. It focuses on the essential role of internal and external finance in the emergence of a new technological paradigm. We present two models. The first one, as a tribute to Schumpeter’s work, follows strictly Schumpeter’s description of the business cycles induced by technological change, except for the financial side.
We study the interactions of banks and firms within a leverage cycle to understand how capacity utilisation and capital investment interact with funding costs, leverage by banks and firms, and liquidity. We show in a simulation study that when firms can grow and die by becoming insolvent, and when banks can grow and die as their bad debts increase to unsustainable levels, the real economy cycles around a leverage cycle.