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Identifying the nonlinear correlation between business cycle and monetary policy rule: Evidence from China and the U.S.

机译:识别经济周期与货币政策规则之间的非线性相关性:来自中美的证据

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摘要

This paper conducts an empirical study on the interest rate behavior of monetary authorities in China and the United States. First, by using a multiple-threshold model, we find that monetary authorities in China and the US have obvious asymmetric preferences at different stages of business cycle. Nominal interest rate adjustments are more likely to be used to curb inflation during expansion and to stimulate output growth during contraction. Second, we re-examine monetary policy rules in the two countries by using a LT-TVP-VAR model within the New Keynesian rational expectation framework. We find that nominal interest rate adjustments are significantly gradual and barely regime-switching. Finally, we also provide empirical evidence that the federal funds rate, despite remaining near zero, can stabilize output and inflation during the post-recession period. As output growth and inflation continue to follow a downward trend, China is likely to enter a period of low interest rates.
机译:本文对中美货币当局的利率行为进行了实证研究。首先,通过使用多阈值模型,我们发现中美两国的货币当局在商业周期的不同阶段都有明显的不对称偏好。名义利率调整更可能用于抑制扩张期间的通货膨胀并在紧缩期间刺激产出增长。其次,我们在新凯恩斯主义理性预期框架内使用LT-TVP-VAR模型来重新审查两国的货币政策规则。我们发现名义利率调整明显是渐进的,几乎没有制度转换。最后,我们还提供了经验证据,表明尽管联邦基金利率保持在接近零的水平,但在衰退后的时期内仍可以稳定产出和通胀。随着产出增长和通货膨胀继续遵循下降趋势,中国很可能进入低利率时期。

著录项

  • 来源
    《Economic modelling》 |2018年第6期|45-54|共10页
  • 作者单位

    Jilin Univ, Quantitat Econ Ctr, 2699 Qianjin St, Changchun 130012, Jilin, Peoples R China;

    Jilin Univ, Quantitat Econ Ctr, 2699 Qianjin St, Changchun 130012, Jilin, Peoples R China;

    Stat Dept British Columbia, 2207 Main Mall, Vancouver, BC, Canada;

    Southwestern Univ Finance & Econ, Sch Publ Finance & Taxat, 555 Liutai Ave, Chengdu 611130, Sichuan, Peoples R China;

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

    Business cycle; Monetary policy rule; Multiple-threshold model; LT-TVP-VAR model;

    机译:商业周期;货币政策规则;多阈值模型;LT-TVP-VAR模型;

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