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Dynamics of a multiplier–accelerator model with nonlinear investment function

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Abstract

In this paper, we show how a rich variety of dynamics may arise in a simple multiplier–accelerator model when a nonlinearity is introduced in the investment function. A specific sigmoidal functional form is used to model investments with respect to the variation in national income, in order to bound the level of investments. In fact, due to obvious material constraints, business strategies cannot sustain infinite investments. With the aid of analytical and numerical tools, we investigate the stability conditions, bifurcations, as well as periodic and chaotic dynamics for different specifications of the model that may include or not an endogenous government expenditure. We obtain some comparative statics results that shed light on the stabilizing or destabilizing role of the various parameters in the model. Globally, we study multistability phenomena, i.e., the coexistence of different kinds of attractors with a rich and complex dynamic structure.

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Notes

  1. Or periodic oscillations with a very high period. In discrete-time maps, the Neimark–Sacker bifurcation occurs when a pair of eigenvalues cross the unitary circle of the complex plane. Thus, remarkable differences can be evidenced (with respect to the continuous time case), concerning the kind of motion along the closed invariant curve created at the bifurcation (it is no longer a unique trajectory but the closure of infinitely many distinct trajectories, either periodic or quasiperiodic) and the fate of such invariant curve as the parameters move far from their bifurcation values.

References

  1. Samuelson, P.A.: Interactions between the multiplier analysis and the principle of acceleration. Rev. Econ. Stat. 21, 75–78 (1939)

    Article  Google Scholar 

  2. Hicks, J.R.: A Contribution to the Theory of the Trade Cycle. Clarendon Press, Oxford (1950)

    Google Scholar 

  3. Day, R., Chen, P.: Nonlinear Dynamics and Evolutionary Economics. Oxford University Press, Oxford (1993)

    Google Scholar 

  4. Hommes, C.H.: A reconsideration of Hicks’ non-linear trade cycle model. Struct. Change Econ. Dyn. 6, 35–459 (1995)

    Article  Google Scholar 

  5. Rosser, J.B.: From Catastrophe to Chaos: A General Theory of Economic Discontinuities, 2nd edn. Kluwer Academic Publishers, Boston (2000)

    Book  MATH  Google Scholar 

  6. Puu, T., Gardini, L., Sushko, I.: A Hicksian multiplier-accelerator model with floor determined by capital stock. J. Econ. Behav. Organ. 56, 331–348 (2005)

    Article  Google Scholar 

  7. Chiarella, C., Flaschel, P., Franke, R.: Foundations for a Disequilibrium Theory of the Business Cycle: Qualitative Analysis and Quantitative Assessment. Cambridge University Press, Cambridge (2005)

    Book  Google Scholar 

  8. Puu, T., Sushko, I.: Business Cycle Dynamics. Springer, Berlin (2006)

    Book  MATH  Google Scholar 

  9. Sushko, I., Gardini, L., Puu, T.: Regular and chaotic growth in a Hicksian floor/ceiling model. J. Econ. Behav. Organ. 75, 77–94 (2010)

    Article  Google Scholar 

  10. Agliari, A., Dieci, R., Gardini, L.: Homoclinic tangles in a Kaldor-like business cycle model. J. Econ. Behav. Organ. 62, 324–347 (2007)

    Article  Google Scholar 

  11. Li, S., Li, Q., Li, J., Feng, J.: Chaos prediction and control of Goodwins nonlinear accelerator model. Nonlinear Anal. Real World Appl. 12, 1950–1960 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  12. Bischi, G.I., Dieci, R., Rodano, G., Saltari, E.: Multiple attractors and global bifurcations in a Kaldor-type business cycle model. J. Evol. Econ. 11, 527–554 (2001)

    Article  Google Scholar 

  13. Naimzada, A., Pireddu, M.: Dynamics in a nonlinear Keynesian good market model. Chaos 24, 013142 (2014)

    Article  MathSciNet  Google Scholar 

  14. Agliari, A., Bischi, G.I., Dieci, R., Gardini, L.: Global bifurcations of closed invariant curves in two-dimensional maps: a computer assisted study. Int. J. Bifurc. Chaos 15, 1285–1328 (2005)

  15. Ma, J., Sun, T., Wang, Z.Q.: Hopf bifurcation and complexity of a kind of economic systems. Int. J. Nonlin. Sci. Num. 8, 347–352 (2007)

    Article  Google Scholar 

  16. Ma, J., Gao, Q.: Stability and Hopf bifurcations in a business cycle model with delay. Appl. Math. Comput. 215, 829–834 (2009)

    MathSciNet  MATH  Google Scholar 

  17. Ma, J., Tu, H.: Analysis of the stability and Hopf bifurcation of money supply delay in complex macroeconomic models. Nonlinear Dyn. 76, 497–508 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  18. He, X., Li, C., Shu, Y.: Bifurcation analysis of a discrete-time Kaldor model of business cycle. Int. J. Bifurc. Chaos 22, 1250186 (2012)

    Article  MATH  Google Scholar 

  19. Gu, E.G.: Complex Dynamics in a Model of Common Fishery Resource Harvested by Multiagents with Heterogeneous Strategy. Int. J. Bifurc. Chaos 25, 1550153 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  20. Guckenheimer, J., Holmes, P.J.: Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields. Springer Science & Business Media, Berlin (2013)

    MATH  Google Scholar 

  21. Kaldor, N.: A model of the trade cycle. Econ. J. 50, 78–92 (1940)

  22. Goodwin, R.M.: The nonlinear accelerator and the persistence of business cycles. Econometrica 19, 1–17 (1951)

  23. Albers, D.J., Sprott, J.C.: Routes to chaos in high-dimensional dynamical systems: a qualitative numerical study. Physica D 223, 194–207 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  24. Ding, M., Grebogi, C., Ott, E.: Evolution of attractors in quasi-periodically forced systems: from quasi-periodic to strange non-chaotic to chaotic. Phys. Rev. A 39, 2593 (1989)

    Article  Google Scholar 

  25. Elhadj, Z., Sprott, J.C.: A minimal 2-D quadratic map with quasi-periodic route to chaos. Int. J. Bifurc. Chaos 18, 1567–1577 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  26. Reick, C., Mosekilde, E.: Emergence of quasi-periodicity in symmetrically coupled, identical period-doubling systems. Phys. Rev. E 52, 1418 (1995)

    Article  MathSciNet  Google Scholar 

  27. Medio, A., Lines, M.: Introductory notes on the dynamics of linear and linearized systems. In: Nonlinear Dynamical Systems in Economics. Springer Wien, NewYork: CISM, 1–26 (2005)

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Naimzada, A.K., Pecora, N. Dynamics of a multiplier–accelerator model with nonlinear investment function. Nonlinear Dyn 88, 1147–1161 (2017). https://doi.org/10.1007/s11071-016-3301-4

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