Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/277322 
Year of Publication: 
2015
Citation: 
[Journal:] European Journal of Economics and Economic Policies: Intervention (EJEEP) [ISSN:] 2052-7772 [Volume:] 12 [Issue:] 1 [Year:] 2015 [Pages:] 113-134
Publisher: 
Edward Elgar Publishing, Cheltenham
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.
Subjects: 
stock-flow consistent model
Monte Carlo method
post-Keynesian growth model
intergenerational transfers
sustainability
JEL: 
C15
E12
Q56
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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