Learning Dynamics in the Cobweb Model with Heterogeneous Producers
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Copyright: © 2020 Carl Chiarella and Xue-Zhong He. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
In this study we investigate the nonlinear dynamics of the traditional cobweb model with two types of heterogeneous producers who are risk averse and seek to learn the distribution of asset prices, in terms of the sample mean and variance of historical prices, using the Arithmetic Learning Processes (ALP) over different window lengths. We show that heterogeneity has a double edged effect on the dynamics in the sense that heterogeneous learning can stabilize an otherwise unstable dynamics in some cases and destablize an otherwise stable dynamics in other cases as well. When the steady state becomes unstable, the model displays complicated dynamics through a variety of types of bifurcations.
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- nonlinear dynamics
- complicated dynamics