BIFURCATIONS IN A STOCHASTIC BUSINESS CYCLE MODEL

2010 ◽  
Vol 20 (12) ◽  
pp. 4111-4118 ◽  
Author(s):  
DONGWEI HUANG ◽  
HONGLI WANG ◽  
YINGFEI YI

We introduce a stochastic business cycle model and study the underlying stochastic Hopf bifurcations with respect to probability densities at different parameter values. Our analysis is based on the calculation of the largest Lyapunov exponent via multiplicative ergodic theorem and the theory of boundary analysis for quasi-nonintegrable Hamiltonian systems. Some numerical simulations of the model are performed.

2000 ◽  
Vol 03 (03) ◽  
pp. 603-604 ◽  
Author(s):  
ADAM KRAWIEC ◽  
MAREK SZYDŁOWSKI ◽  
JANUSZ TOBOŁA

We analyse the Hopf bifurcations in the Kaldor–Kalecki business cycle model represented by a delay differential equation system.


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