你做过动态随机一般均衡模型试验吗?
Did you do the dynamic stochastic general equilibrium model?
新凯恩斯主义学说的核心是所谓的动态随机一般均衡模型。
At the heart of the New Keynesian doctrine stands the so-called dynamic stochastic general equilibrium model.
在总结了我国经济波动的典型事实后,本文构建了两个动态随机一般均衡模型作为分析的工具。
After the summarization of stylized facts of China's business fluctuations, two dynamic stochastic general equilibrium (DSGE for short hence force) models were established.
结合分析对象的特点,本文选取了当前宏观经济领域中比较流行的过动态随机一般均衡模型(DSGE)来对问题进行分析。
Combined with the character of the studying subject, we use Dynamic Stochastic General Equilibrium (DSGE) model which is popular in macroeconomic study to analyze the problem.
动态随机一般均衡模型有时候会有效,但是他们的成功要依赖事件和政策保持不变,因为动态随机一般均衡模型的计算是基于历史观察。
DSGE models sometimes work, but their success depends on events and policies remaining unchanged, since DSGE calculations are based on historical observations.
实际经济周期理论被称为“对宏观经济学的有利的技术冲击”,目前,其倡导的动态随机一般均衡模型已经成为现代宏观经济学分析的基本工具。
This theory is called "a technological shock favourable to macro-economics'. At present, a dynamic and stochastic model of equilibrium has become a basic tool for modern macro-economic analysis."
他们的思想体现在一种经济运作新模式上,称为“动态随机一般均衡(DSGE)”模型。
Their thinking was embodied in a new genre of working models of the economy, called “dynamic stochastic general equilibrium” (DSGE) models.
体现在“动态随机一般均衡”模型中的主流宏观经济学,不能有效找出金融危机的根源。,使其拥趸对各种金融危机的各种症状毫无准备。
The mainstream macroeconomics embodied in DSGE models was a poor guide to the origins of the financial crisis, and left its followers unprepared for the symptoms.
文章构建了一个动态随机一般均衡的模型,从理论和实证两个方面分析了中国货币经济的波动问题。
This paper analyses China's monetary economic fluctuation theoretically and positively with a dynamic stochastic general equilibrium model.
最常使用的五个模型是石油期货价格、回归结构模型、时间序列分析、贝叶斯自回归模型和动态随机一般均衡图。
The five models used most often are oil futures prices, regression-based structural models, time-series analysis, Bayesian autoregressive models and dynamic stochastic general equilibrium graphs.
最常使用的五个模型是石油期货价格、回归结构模型、时间序列分析、贝叶斯自回归模型和动态随机一般均衡图。
The five models used most often are oil futures prices, regression-based structural models, time-series analysis, Bayesian autoregressive models and dynamic stochastic general equilibrium graphs.
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