Abstract
The main task of this work is to develop a model able to encompass, at the same time, Keynesian, demand-driven, and Marxian, profit-driven, determinants of fluctuations. Our starting point is the Goodwin model (1967), rephrased in discrete time and extended by means of a full coupled dynamics structure. The model adds the combined interaction of a demand effect, which resembles a rudimentary first approximation to an accelerator, and of a hysteresis effect in wage formation in turn affecting investments. Our model yields “business cycle” movements either by means of persistent oscillations, or chaotic motions. These two different dynamical paths accounting for the behaviour of the system are influenced by its (predominantly) profit-led or demand-led structures.
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Notes
2 Conversely, a dynamical system is structurally stable if for every sufficiently small perturbation of the vector field the perturbed system is topologically equivalent to the original system.
4 In fact, the labour market equation of the “Growth Cycle”, being expressed in real terms, is not exactly a Phillips curve which is a negative relation between changes in money wages and the unemployment rate. It lies in between the Phillips curve and the so called Wage curve, i.e. a relation between the levels of real wages and the unemployment rate (see Blanchflower and Oswald (1994)).
5 The parameter values are quite standard and close to empirics (see also Silverberg (1984) for a similar parametrization).
6 As compared to the original Goodwin model, we have introduced two slight modifications: a depreciation factor and an “expectation augmented” Phillips curve (where expectations are adaptive, i.e. the expected wage level equals the past experienced one). Nonetheless, the former brings a dampening factor (in fact the explosive behaviour is still present, and it would be even much more evident with a zero depreciation rate). The latter change does not alter the qualitative behaviour of the quasi-Phillips curve discussed in Goodwin (1967), and it takes fully on board lags in wage setting.
7 In Kaldor and Mirrlees (1962) the investment function expressed in continuous time is I/Y=v(Y−W). The significant advantage of our formulation is that we explicitly separate the income distribution/Goodwinian component from the demand/Keynesian one.
8 Concerning the parameter choices in the Goodwin plus Keynes model, lacking direct empirical proxies for our parameters in the following we will choose values which are qualitatively illustrative of the different regimes.
9 Three of them have no economic meaning having at least a zero coordinate. However, they may play a role in the definition of the basins of attraction of the system (see Bischi et al. (1998)).
11 In particular, the emergence of a flip bifurcation implies the birth of a two period cycle around the (unstable) fixed point. Conversely, when the fixed point undergoes a Neimark-Sacker bifurcation one observes the birth of an invariant closed curve Γ around the stationary solution. In this case a trajectory that starts on Γ lies on Γ for any (forward) iteration and generates periodic or quasi-periodic time series of the variables of the system. Since one of the aims of the present paper is to show the possibility of the emergence of observable endogenous fluctuations, we concentrate on the cases in which flip and Neimark-Sacker bifurcations are supercritical, that is when they generate attractors.
12 The other parameter values are b=−0.92,c=−0.37,d=0.96,e=0.8.
13 The parameter setting we explore to capture the Goodwinian set-up is a=−0.3,b=−0.92,c=0,d=0.96,e=0.8
14 Lyapunov exponents are obtained in Matlab by dividing the parameter interval into 1000 equidistant values. We took an initial condition in the basin of attraction and, using the procedure described by Alligood et al. (1996) (page 199), in order to eliminate the transient we iterated each point 10,000 times, before averaging over the subsequent 10,000 iterations (equivalent results have been obtained using the software IDMC by Marji Lines and Alfredo Medio (https://code.google.com/p/idmc/)).
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Acknowledgments
We are grateful for helpful comments to several participants at the 8th International Conference on Nonlinear Economic Dynamics (NED), Siena, July 2013; the Workshop on Deterministic and Stochastic Dynamics in Economics and Finance, Scuola Normale Superiore, Pisa, December 2013; the 5th International Conference of the International Schumpeter Society (ISS), Jena, July 2014; and to two anonymous referees. The authors gratefully acknowledge the financial support of the Institute for New Economic Thinking (INET) grant INO12-00039, “INET Taskforce in Macroeconomic Efficiency and Stability”.
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Dosi, G., Sodini, M. & Virgillito, M.E. Profit-driven and demand-driven investment growth and fluctuations in different accumulation regimes. J Evol Econ 25, 707–728 (2015). https://doi.org/10.1007/s00191-015-0406-8
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DOI: https://doi.org/10.1007/s00191-015-0406-8
Keywords
- Endogenous growth
- Business cycles
- Investment
- Predator-prey dynamics
- Aggregate demand
- Accelerator
- Complex systems
- Non-linearity
- Chaos theory