A cobweb model with gradient adjustment mechanism: nonlinear dynamics and multistability

Nicolo' Pecora, Ahmad Naimzada

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

A cobweb model, characterized by boundedly rational producers with a production adjustment mechanism based on the gradient rule, is described by a nonlinear discrete time dynamical system of the plane. Firms do not have a complete knowledge of the demand function and try to infer how the market will respond to their production changes by an empirical estimates of the marginal profits. Analytical conditions for local stability of the market equilibrium are provided, showing that the stability loss of the market equilibrium may give rise to chaotic dynamic as well. When memory is introduced in the production adjustment mechanism, a locally stabilizing effect is revealed as well as a globally qualitatively destabilizing role for memory. This is related to the occurrence of period doubling and Neimark–Sacker bifurcations, the latter being of supercritical nature as analytically proved. Endogenous fluctuations and multistability, with consequent loss of predictability in the long run dynamics, are observed.
Original languageEnglish
Pages (from-to)1384-1401
Number of pages18
JournalJournal of Difference Equations and Applications
Volume24
DOIs
Publication statusPublished - 2018

Keywords

  • Cobweb model
  • bifurcation analysis
  • gradient rule
  • multistability
  • nonlinear dynamics

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