Bartlett‐type modified test for moving seasonality with applications

B. Sutradhar, E. Dagum
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引用次数: 5

Abstract

Socioeconomic time series are often presented in a seasonally adjusted form so that the underlying short-term trend can be more easily analysed, and current socioeconomic conditions can be easily assessed. As a first step towards seasonally adjusting a series, it is essential to test for a changing (moving) seasonal pattem against a stable seasonal pattern over time. To test for moving seasonality, Sutradhar and Dagum have applied a modified Bartlett test to trend-free data consisting of seasonality only. In general, however, such trend-free or detrended data appear to consist of seasonality plus irregular components. This makes the estimation of the parameters more complicated than was the case for Sutradhar and Dagum. We discuss this estimation problem in the present paper in connection with three Canadian export series. As Sutradhar and Dagum did, we then develop a modified Bartlett test under the new set-up and apply the test for testing for moving seasonality in the three Canadian export series.
巴特利特型季节性变化修正试验与应用
社会经济时间序列通常以季节性调整的形式呈现,以便可以更容易地分析潜在的短期趋势,并可以轻松评估当前的社会经济状况。作为季节性调整序列的第一步,有必要测试随时间变化的(移动的)季节模式与稳定的季节模式。为了测试移动的季节性,Sutradhar和Dagum对仅由季节性组成的无趋势数据应用了修改的Bartlett测试。然而,一般来说,这种无趋势或无趋势的数据似乎由季节性和不规则成分组成。这使得参数的估计比Sutradhar和Dagum的情况更加复杂。我们在本文中结合三个加拿大出口系列来讨论这个估计问题。正如Sutradhar和Dagum所做的那样,我们随后在新设置下开发了一种改进的Bartlett测试,并将该测试应用于加拿大三个出口系列的移动季节性测试。
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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