非对称的“产出—价格”菲利普斯曲线机制研究
发布时间:2019-02-09 15:18
【摘要】:宏观经济总量之间的影响和替代关系不仅是经济运行内在规律的体现,也是进行宏观经济调控和经济政策干预的基础。我国宏观调控的基本目标是保持经济持续增长、物价水平基本稳定和实现充分就业。菲利普斯曲线正是将宏观经济中的上述核心变量联系在一起,它是描述物价水平、失业和产出增长率的重要经验定律。本文中,我们利用平滑迁移模型(STAR)对我国的新凯恩斯菲利普斯曲线进行了经验分析,检验结果表明我国存在显著的非线性特征的菲利普斯曲线形式,并且此特征由逻辑函数刻画,非线性转换大约发生在通胀预期为2.6%的附近,且转换速度显著。
[Abstract]:The influence and substitution relationship between macroeconomic aggregate is not only the embodiment of the inherent law of economic operation, but also the basis of macroeconomic regulation and control and economic policy intervention. The basic goal of macro-control in China is to maintain sustained economic growth, stable price level and full employment. The Phillips curve is an important empirical law to describe the price level, unemployment and output growth rate. In this paper, we use the smooth migration model (STAR) to analyze the new Keynesian Phillips curve in China. The test results show that there is a significant nonlinear form of Phillips curve in China. This feature is characterized by logic function. The nonlinear transformation occurs about 2.6% of the inflation expectation, and the speed of the conversion is significant.
【作者单位】: 吉林大学数量经济研究中心;
【分类号】:F015
本文编号:2419093
[Abstract]:The influence and substitution relationship between macroeconomic aggregate is not only the embodiment of the inherent law of economic operation, but also the basis of macroeconomic regulation and control and economic policy intervention. The basic goal of macro-control in China is to maintain sustained economic growth, stable price level and full employment. The Phillips curve is an important empirical law to describe the price level, unemployment and output growth rate. In this paper, we use the smooth migration model (STAR) to analyze the new Keynesian Phillips curve in China. The test results show that there is a significant nonlinear form of Phillips curve in China. This feature is characterized by logic function. The nonlinear transformation occurs about 2.6% of the inflation expectation, and the speed of the conversion is significant.
【作者单位】: 吉林大学数量经济研究中心;
【分类号】:F015
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,本文编号:2419093
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