Discrete Spectral Analysis. The Case of Industrial Production in Selected European Countries

Łukasz Lenart
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引用次数: 2

Abstract

The aim of this paper is to show the usefulness the discrete spectral analysis in identification cyclical fluctuations. The subsampling procedure was applied to construct the asymptotically consistent test for Fourier coefficient and frequency significance. The case of monthly production in industry in European countries (thirty countries) was considered. Using proposed approach the frequencies concerning business fluctuations, seasonal fluctuations and trading-day effects fluctuations were recognized in considered data sets. The comparison with existing procedures was shown.
离散谱分析。若干欧洲国家工业生产的案例
本文的目的是证明离散谱分析在识别周期性波动方面的有效性。应用次抽样程序构造傅里叶系数和频率显著性的渐近一致检验。考虑了欧洲国家(30个国家)工业每月生产的情况。采用拟议的方法,在考虑的数据集中确认了业务波动、季节波动和交易日影响波动的频率。并与现有程序进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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