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New Econometric Approaches to Stabilization Policy in Stochastic Models of Macroeconomic Fluctuations
Stochastic Models Macroeconomic Fluctuations
2015/8/4
During the last 15 years econometric techniques for evaluating macroeconomic
policy using dynamic stochastic models in which expectations are consistent, or
rational, have been developed extensively...
Solving nonlinear dynamic stochastic models: An algorithm computing value function by simulations
Nonlinear stochastic models Value function Parameterized expectations Monte Carlo simulations Numerical solutions
2015/7/21
This paper presents an algorithm for solving nonlinear dynamic stochastic models that computes value function by simulations. We argue that the proposed algorithm can be a useful alternative to the ex...
Microscopic reasoning for the non-linear stochastic models of long-range memory
microfoundations agent based models stochastic models fnancial markets long-range memory
2011/7/4
We extend Kirman's model by introducing variable event time scale. The proposed
exi-
ble time scale is equivalent to the variable trading activity observed in nancial markets.
Stochastic version ...
Neyman is well known for his fundamental contributions
to the theory of statistics, but he started his statistical career by a series of
papers on applications of statistics. These were applications...
Stochastic models and their applications to social phenomena
Stochastic models applications to social phenomena
2009/9/22
The imposing sweep of this session's title - Critical Problems in New
Quantitative Techniques, the high reputations of the discussants and the other
speakers, together with sponsorship by three scho...