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Stability under learning: The endogenous growth problem

机译:学习中的稳定性:内生性增长问题

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摘要

A local dynamic analysis, in the neighborhood of the steady state, is developed for one and two-sector endogenous growth models. The problem differs from the conventionally assumed growth setups because one considers that expectations concerning the next period value of the control variable (consumption) are formed through adaptive learning. In such scenario, the found stability conditions reveal that convergence to the unique steady state point is feasible if a minimum requirement regarding the quality of learning in the long run equilibrium is fulfilled. Therefore, stability of growth under learning is dependent on the efficiency with which expectations are generated.
机译:针对一部门和两部门内生增长模型,开发了处于稳态附近的局部动力学分析。该问题与常规假定的增长设置不同,因为人们认为通过自适应学习形成了有关控制变量下一个周期值(消耗)的期望。在这种情况下,发现的稳定性条件表明,如果满足长期均衡中学习质量的最低要求,则收敛到唯一稳态点是可行的。因此,学习过程中增长的稳定性取决于产生期望的效率。

著录项

  • 来源
    《Economic modelling》 |2009年第5期|807-816|共10页
  • 作者

    Orlando Gomes;

  • 作者单位

    Escola Superior de Comunkacao Social [Instituto Politecnko de Lisboa] and Unidade de Investigacao em Desenvolvimento Empresarial - Economics Research Center [UNIDE/ISCTE - ERC], Portugal;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    endogenous growth; adaptive learning; stability analysis;

    机译:内生生长适应性学习;稳定性分析;

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