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Mathematical Economics and the Dynamics of Capitalism
Peter Flaschel, Michael Landesmann, Peter Flaschel, Michael Landesmann
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eBook - ePub
Mathematical Economics and the Dynamics of Capitalism
Peter Flaschel, Michael Landesmann, Peter Flaschel, Michael Landesmann
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Ă propos de ce livre
Richard Goodwin was a pioneer in the use of mathematical tools to understand the dynamics of capitalist economies. This book contains contributions which focus on the rigorous extension of Goodwin's modelling of macro-dynamics and the micro-structures underlying them, and also research with a wider perspective related to Goodwin's vision of an integrated Marx-Keynes-Schumpeter (M-K-S) system of the dynamics of capitalist economies.The variety of approaches in this book range from detailed business cycle analyses to Schumpeterian processes of creative destruction. They include
- thorough theoretical analysis of delayed dynamical systems.
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- empirical studies of Goodwin's classical growth cycle model and the integration of Keynesian aspects of effective demand and of financial mechanisms that impact the real macro-economy.
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- micro-economic structural analysis.
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- expectations driven aspects of micro-founded business cycle modelling
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Part I
Nonlinear macrodynamics: theory
1 Coexistence of multiple business cycles in Goodwinâs 1951 model
Akio Matsumoto and Mami Suzuki
Introduction
The contribution of Goodwin (1951) is reconsidered in this study. Goodwin developed a nonlinear accelerator business cycle model and showed that it could generate a stable limit cycle when a stationary point was locally unstable. Considerable effort has been devoted to investigate the dynamic structure of Goodwinâs model since then. However, in the existing literature, not much has yet been revealed with respect to the circumstances under which the stationary point is locally stable. In particular, it is not yet known whether cyclical global dynamics may appear in the stable case. We draw attention to this unexplored case and exhibit the coexistence of multiple limit states, namely a stable stationary point, an unstable limit cycle and a stable limit cycle. Since very few explorations have been made in the global dynamics of the stable case, this study is intended as an investigation of an unexplored aspect of Goodwinâs nonlinear business cycle model.
Goodwin proposed five different versions of his business cycle model. The first version assumes a piecewise linear function with three levels of investment, which can be thought as the crudest or simplest of the nonlinear accelerator. This is a textbook model that can give a simple exhibition of how nonlinearities give rise to endogenous cycles without relying on structurally unstable parameters, exogenous shocks, etc. The second version replaces the piecewise linear investment function with a smooth nonlinear investment function. Although persistent cyclical oscillations of output are shown to exist, the second version includes a unfavorable phenomenon, namely, discontinuous investment jumps, which is not observed in the real economic world. âIn order to come close to realityâ (Goodwin 1951: 11), a production lag is introduced in the third version. However, no dynamic considerations are given to this third version by Goodwin. The existence of a stable limit cycle is examined in the fourth version, which is a linear approximation of the third version with respect to the production lag. Goodwinâs final modification makes the amount of autonomous expenditure alter over time. This fifth version is recently reconsidered by Lorenz (1987) as a forced oscillator system in which the emergence of chaotic motion is demonstrated. More recently Sasakura (1996) gave an elegant proof of the stability and uniqueness of Goodwinâs cycle for the fourth version. Thus it has been confirmed that Goodwinâs nonlinear accelerator model possesses a unique stable limit cycle. Since all these results are obtained when the stationary point is locally unstable, we can ask a basic question: Is cyclical behavior robust under locally stable circumstances?
The main result of this study is to provide a positive answer to this question. For this purpose, we augment Goodwinâs fourth version by introducing a nonlinear investment function of arctangent type and demonstrate the coexistence of multiple cycles. We will combine the PoincarĂ©-Bendixson theorem with the Hopf bifurcation theorem and characterize the global dynamics when the stationary state is locally stable. The coexistence of multiple cycles is also shown for Kaldorâs business cycle model in Grasman and Wentzel (1994) and for a Metzlerian inventory cycle model in Matsumoto (1996) using an approach which we continue here.
We also examine the dynamics of the third version with an unstable stationary point. Only limited efforts has been devoted to this version in the past. Since it is a nonlinear differential equation, attempts at analytical solution seem fruitless. Hence, we perform numerical simulations to find what effects the production lag produces on the characteristics (i.e. length and amplitude) of cyclical oscillations of the output.
The following section âGoodwin business cycle modelâ overviews three versions (i.e. the second, third and fourth versions) of Goodwinâs business cycle model and reveals the characteristics of Goodwinâs cycle. The section âCoexistence of multiple cyclesâ presents the new results which shows that the linear approximated version exhibits corridor stability in which the solution is stable for small shocks but is unstable and generates multiple limit cycles for large shocks. Concluding remarks are made in the final section.
Goodwin business cycle model
This section is divided into three parts. Each of three versions of Goodwinâs model are reviewed in each subsection. In particular, we recapitulate the basic elements of the second version and numerically simulate the model to see what dynamics it can generate in âBasic modelâ. We then introduce a production lag into the second version to get the third version and perform, again, numerical simulations to find out how the lag affects the characteristics (i.e. the length of a period and the amplitude) of endogenous cycles in âDelayed modelâ. Finally, we derive the most popular version, the fourth version, by expanding the third version with respect to the lag and reveal its stability condition in âApproximated modelâ.
Basic model
The second model, which we call the basic model , is summarized as follow...