Model of the United States Economy with Learning MUSEL

Ursel Baumann, A. Dieppe, Alberto González Pandiella, Alpo Willman
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引用次数: 2

Abstract

The model presented here is an estimated medium-scale model for the United States (US) economy developed to forecast and analyse policy issues for the US. The model is specified to track the deviation of the medium- run developments from the balanced-growth-path via an estimated CES production function for the private sector, where factor augmenting technical progress is not constrained to evolve at a constant rate. The short-run deviations from the medium run are estimated based on three optimising private sector decision making units: firms, trade unions and households. We assume agents optimise under limited-information model-consistent learning, where each agent knows the parameters related to his/her optimization problem. Under this learning approach the effect of a monetary policy shock on output and inflation is more muted but persistent than under rational expectations, but both specifications are broadly comparable to other US macro models. Using the learning version, we .find stronger expansionary effects of an increase in government expenditure during periods of downturns compared to booms. JEL Classification: C51, C6, E5
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美国经济模式与学习模式
本文提出的模型是一个估计美国经济的中等规模模型,用于预测和分析美国的政策问题。该模型通过估计私营部门的CES生产函数来跟踪中期发展与平衡增长路径的偏差,其中要素增长型技术进步不受限制以恒定速率发展。短期与中期的偏差是基于三个优化的私营部门决策单位:企业、工会和家庭来估计的。我们假设智能体在有限信息模型一致学习下进行优化,其中每个智能体都知道与他/她的优化问题相关的参数。在这种学习方法下,货币政策冲击对产出和通胀的影响比理性预期下更为微弱,但更为持久,但这两种指标与美国其它宏观模型大致相当。使用学习版本,我们发现与繁荣时期相比,经济低迷时期政府支出增加的扩张性效应更强。JEL分类:C51, C6, E5
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