Qualitative Analysis of the Goodwin Model of the Growth Cycle
DOI:
https://doi.org/10.46661/revmetodoscuanteconempresa.2694Keywords:
Goodwin model, business cycle, qualitative, scenario, transition, modelo de Goodwin, ciclo empresarial, cualitativo, escenario, transiciónAbstract
Goodwin's model is a set of ordinary differential equations and is a well-known model of the growth cycle. However, its four constants require an extensive numerical study of its two differential equations to identify all possible unsteady state behaviors, i.e. phase portraits, which corresponds to infinitely many combinations of numerical values of the constants. Qualitative interpretation of Goodwin's model solves these problems by replacing all numerical constants and all derivatives by trends (increasing, constant and decreasing). The model has two variables - the employment rate V, and the labour share U. A solution of the qualitative Goodwin's model is a scenario. An example of a Goodwin's scenario is - V is increasing more and more rapidly, U is decreasing and the decrease is slowing down. The complete set of all possible 41 Goodwin's scenarios and 168 time transitions among them are given. This result qualitatively represents all possible unsteady state Goodwin's behaviours. It is therefore possible to predict all possible future behaviours if a current behaviour is known/chosen. A prediction example is presented in details. No prior knowledge of qualitative model theory is required.
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Ahn, H. and Kim, K. (2009): Bankruptcy prediction modelling with hybrid case-based reasoning and genetic algorithms approach. Applied Soft Computing, 9, 599-607.
Cao, J. and Jiang H. (2011): Stability and Hopf bifurcation analysis on Goodwin model with three delays. Chaos, Solitons & Fractals, 44, 613-618.
Desai, M.; Henry, B.; Mosley, A. and Pemberton, M. (2006): A clarification of the Goodwin model of the growth cycle. Journal of Economic Dynamics & Control, 30, 2661-2670.
Dohnal, M. (1991): A methodology for common-sense model development. Computers in Industry, 16(2), 141–158.
Goodwin, R. M. (1967): A Growth Cycle. In Feinstein, C.H. (ed.): Socialism, Capitalism and Economic Growth. Cambridge University Press, Cambridge, pp. 54-58.
Harvie, D. (2000): Testing Goodwin: growth cycles in ten OECD countries. Cambridge Journal of Economics, 24, 349-376.
Kuipers, B.J. (1994): Qualitative reasoning. Modelling and simulation with incomplete knowledge. MIT Press, Cambridge.
Moura, Jr. N.J. and Ribeiro, M.B. (2013): Testing the Goodwin growth-cycle macroeconomic dynamics in Brazil. Physica A, 392, 2088-2103.
Oliveira, R.D.S. and Rezende, A.C. (2013): Global phase portraits of a SIS model. Applied Mathematics and Computation, 219, 4924-4930.
Salles, P.; Bredeweg, B. and Araújo, S. (2006): Qualitative models about stream ecosystem recovery: Exploratory studies. Ecological Modelling, 194, 80–9.
Sordi, S. and Vercelli, A. (2014): Unemployment, income distribution and debt-financed investment in a growth cycle model. Journal of Economic Dynamics & Control, 48, 325-348.
Sportelli, M.C. (1995): A Kolmogoroff generalized predator–prey model of Goodwin’s growth cycle, Zeitschrift für Nationalökonomie, 61: 1, 35–64.
Šuc, D.; Vladušič, D. and Bratko, I. (2004): Qualitatively faithful quantitative prediction. Artificial Intelligence, 158, 189–214.
Veneziani, R. and Mohun, S. (2006): Structural stability and Goodwin’s growth cycle. Structural Change and Economic Dynamics, 17, 437-451.
Weber, L. (2005): A contribution to Goodwn’s growth cycle model from a system dynamics perspective. In Proceedings of the 23rd International System Dynamics Conference, System Dynamics Society, Boston, July 17-21, 28pp. Available at http://www.systemdynamics.org/conferences/2005/proceed/papers/WEBER196.pdf.
Yoshida, H. and Asada, T. (2007): Dynamic analysis of policy lag in a Keynes-Goodwin model: Stability, instability, cycles and chaos. Journal of Economic Behaviour & Organization, 62, 441-469.
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