Business cycle asymmetries and non-linearities in U.K. macroeconomic time series

Terence C. Mills
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引用次数: 14

Abstract

This paper empirically tests for and models non-linearities in a selection of U.K. macroeconomic time series. Attention is focused first on business cycle asymmetry, using Markov chain models to investigate whether cycles in macroeconomic time series display symmetric behaviour on both sides of a peak or trough. Next, a selection of statistical tests of non-linearity are employed to investigate formally the presence of departures from the linearity assumption. A variety of specific non-linear models of the business cycle that have been proposed recently are then fitted to ascertain how useful they are in explaining any non-linearities that have been observed in the series. Finally, the results are brought together in an extended discussion of their implications for business cycle research and policy analysis.

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英国宏观经济时间序列的经济周期不对称性和非线性
本文对英国宏观经济时间序列的非线性进行了实证检验和建模。首先关注商业周期的不对称性,使用马尔可夫链模型来研究宏观经济时间序列中的周期是否在峰值或低谷的两侧显示对称行为。接下来,非线性的统计检验的选择被用来正式调查偏离线性假设的存在。然后对最近提出的各种特定的商业周期非线性模型进行拟合,以确定它们在解释该系列中观察到的任何非线性方面有多大用处。最后,将结果汇集在一起,对其对商业周期研究和政策分析的影响进行了扩展讨论。
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