Comparative numerical analysis of two stock-flow consistent post-Keynesian growth models

Biagio Ciuffo and Eckehard Rosenbaum
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Biagio Ciuffo: Institute for Energy and Transport, Joint Research Centre, European Commission, Ispra, Italy

European Journal of Economics and Economic Policies: Intervention, 2015, vol. 12, issue 1, 113-134

Abstract: Stock-flow consistent (SFC) models become complex and hence rather intractable once they seek to incorporate more features of reality. Solving such models numerically for preselected parameter values can help to overcome this problem. But how should the parameters be selected given that there often exists a host of economically plausible values? In order to address this problem, this paper suggests using a Monte Carlo approach to examine which combinations of parameters and starting values (feasibility regions) produce economically meaningful equilibria for the short and long run, and whether the long-term equilibria thus identified are in fact stable. In addition, we undertake a sensitivity analysis for all parameters which allows us to gauge the extent to which model results are driven by certain parameters and starting values.

Keywords: stock-flow consistent model; Monte Carlo method; post-Keynesian growth model; intergenerational transfers; sustainability (search for similar items in EconPapers)
JEL-codes: C15 E12 Q56 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:elg:ejeepi:v:12:y:2015:i:1:p113-134

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