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Quarterly data on consumer spending exhibit a high degree of seasonality. However, the use of statistical techniques permits the filtering-out of seasonal fluctuations, so that the underlying series trend can be more easily seen. This article presents results of seasonally adjusting data from the interview component of the CE Survey.
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