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This chapter is concerned with numerical simulation of dynamic economic models. We focus on some basic algorithms and … assess their accuracy and stability properties. This analysis is useful for an optimal implementation and testing of these …
Persistent link: https://www.econbiz.de/10014024245
approximating functions (Smolyak, stochastic simulation, and ε -distinguishable set grids), accurate low-cost monomial integration … condition methods that reduce the cost and increase accuracy of value function iteration. Third, we show precomputation … techniques that increase the accuracy of perturbation methods: a change of variables and a hybrid of local and global solutions …
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This paper surveys recent advances in the application of random dynamical systems theory in economics. It illustrates the usefulness of this framework for modeling and analysis of economic phenomena with stochastic components, mainly focusing on stochastic dynamic models in economic growth. The...
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This paper considers systems whose input signals are fuzzy stochastic processes of second order. The analysis is entirely restricted to discrete time linear time-invariant systems. Convergence conditions of the output are given. The equations on the mean value functions and the covariance...
Persistent link: https://www.econbiz.de/10012923901
Using the theory of dynamic systems with random structure the representation of nonstationary continuous time, generally non-Gaussian, processes with distinguishable states is considered. Switching of the partial subsystems is intended to be a Poisson point process and so the model has the...
Persistent link: https://www.econbiz.de/10012923935