Analysis of stochastic effects in Kaldor-type business cycle discrete model

•A nonlinear business cycle discrete model with random disturbances is studied.•The parametric analysis of stochastic attractors is performed using the stochastic sensitivity functions technique.•Simulations of the spatial arrangement of random states in stochastic attractors by confidence domains are presented.•The phenomenon of noise-induced transitions “chaos-order” is discussed.

We study nonlinear stochastic phenomena in the discrete Kaldor model of business cycles. A numerical parametric analysis of stochastically forced attractors (equilibria, closed invariant curves, discrete cycles) of this model is performed using the stochastic sensitivity functions technique. A spatial arrangement of random states in stochastic attractors is modeled by confidence domains. The phenomenon of noise-induced transitions “chaos-order” is discussed.