An alternative algorithm for mapping stable parameters in Stock-Flow Consistent (SFC) models

  • Júlio Fernando Costa Santos Universidade Federal de Uberlândia
  • Guilherme Jonas Costa da Silva Instituto de Economia e Relações Internacionais (IERI) - UFU
DOI: https://doi.org/10.33834/bkr.v8i2.285
Keywords: Stock-Flow Consistent Model, Post-Keynesian Macrodynamics, Numerical Solution Algorithms

Abstract

This article describes the development of a stability analysis algorithm through a combination of Monte Carlo Simulation, Gauss-Seidel/Newton and Variation Filter techniques. In order to compare results, both the new algorithm and a numerical-analytical solution are tested against the Dos Santos and Zezza (2008) benchmark model. The outcome demonstrates overlap between the results from the two approaches. Considering that it is not always possible or feasible to analyze a system’s stability through an analytical solution, our algorithm innovates by providing an escape route for mapping stable parameters.

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Published
2022-12-26
How to Cite
Costa Santos, J. F., & Costa da Silva, G. J. (2022). An alternative algorithm for mapping stable parameters in Stock-Flow Consistent (SFC) models. Brazilian Keynesian Review, 8(2), 184-208. https://doi.org/10.33834/bkr.v8i2.285
Issue
Vol. 8 No. 2 (2022): BKR
Section
Articles

Copyright (c) 2022 Júlio Fernando Costa Santos, Guilherme Jonas Costa da Silva

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