What is seasonal adjustment?
Seasonal adjustment is the process of estimating and removing seasonal effects from a time series in order to better reveal certain non-seasonal features. Examples of seasonal effects include a July drop in automobile production as factories retool for new models and increases in heating oil production during September in anticipation of the winter heating season. Sometimes we also estimate and remove trading day effects and moving holiday effects during the seasonal adjustment process.
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