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首页> 外文期刊>Journal of difference equations and applications >Optimal growth under discounting in the two-sector Robinson-Solow-Srinivasan model: a dynamic programming approach
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Optimal growth under discounting in the two-sector Robinson-Solow-Srinivasan model: a dynamic programming approach

机译:两部门Robinson-Solow-Srinivasan模型在折现下的最优增长:一种动态规划方法

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摘要

We use a version of a two-sector model to provide a strong form of a "folk-theorem" on the existence of a threshold discount factor such that: (i) for discount factors above this threshold value, optimal behavior is qualitatively similar to that in the corresponding undiscounted optimization problem, (ii) for discount factors below this threshold value, optimal behavior is qualitatively different from that in the undiscounted case. In the process, we provide an explicit solution of a non-linear optimal policy function for all discount factors above the threshold value. Our bifurcation analysis is conducted by using the dynamic programming approach, and we exploit the convex structure of our model to develop a variation of the standard method in dynamic programming used to identify the optimal policy correspondence.
机译:我们使用两部门模型的一种形式,在存在阈值折扣因子的情况下提供强形式的“民间定理”,使得:(i)对于高于该阈值的折扣因子,最优行为在质量上类似于(ii)对于低于此阈值的折现因子,最优行为在质量上与未折扣情况下的不同。在此过程中,我们为所有高于阈值的折现因子提供了非线性最优策略函数的显式解决方案。我们使用动态规划方法进行分叉分析,并且我们利用模型的凸结构来开发动态规划中用于识别最佳策略对应关系的标准方法的变体。

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