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On the influence of stochastic parameters on optimal macroeconomic policies

机译:关于随机参数对最优宏观经济政策的影响

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The sensitivity of results from optimum control problems with respect to uncertain parameters is investigated in a numerical case study for Austria. Optimal stabilization policies for the period 1995 to 2000 are calculated under varying assumptions about stochastic parameters within the framework of a problem of quantitative economic policy. An intertemporal objective function is minimized subject to the constraints of a small macroeconometric model, and approximately optimal values for federal budget expenditures and revenues are determined. It is shown that the deterministic and the fully stochastic optimal policies are rather similar. However, optimization results can be very different when covariances between different parameters are not taken into account, especially when parameters affecting the dynamic structure of the model are assumed to be stochastic.
机译:对奥地利的数值案例研究,研究了对不确定参数的最佳控制问题结果的敏感性。 1995年至2000年期间的最佳稳定政策是在数量经济政策问题框架内随机参数的不同假设计算。跨期目标函数最小化,受小型宏观重组模型的约束,并确定了联邦预算支出和收入的大约最佳价值。结果表明,确定性和完全随机的最佳策略相当相似。然而,当没有考虑不同参数之间的协方差时,优化结果可能非常不同,尤其是当假定影响模型的动态结构的参数被停用时是随机的。

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