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Time Series and Seasonal Adjustment
Time Series and Seasonal Adjustment
Seasonal adjustment is the estimation of the seasonal component and, when applicable, also trading day and moving holiday effects, followed by their removal from the time series. The goal is usually to produce series whose movements are easier to analyze over consecutive time intervals and to compare to the movements of other series in order to detect co-movements.
Case Studies
The U.S. Census Bureau is a world leader in seasonal adjustment research and time series software. These case studies are part of a series to keep data users informed of research and encourage discussion.
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Time Series and Seasonal Adjustment GlossaryOfficial definitions pertaining to Time Series and Seasonal Adjustment.
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Time Series and Seasonal Adjustment SoftwareDownload software and accompanying documentations relating to the X-13ARIMA-SEATS seasonal adjustment software.
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Time Series and Seasonal Adjustment LibraryCensus Bureau research made available to others to encourage discussion on a range of topics. They have not undergone official review or the editorial process.
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Time Series and Seasonal Adjustment NewsroomHere you will find news and updates related to Seasonal Adjustment. Visit the Newsroom for news releases published by the Census Bureau.
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Contact Time Series and Seasonal Adjustment
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Sites Related to Time Series and Seasonal Adjustment
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About Seasonal AdjustmentThis section provides detailed information and statistics on [name of topic, survey, etc.]. Find the latest news, publications, and other content.
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Time Series and Seasonal Adjustment Case Studies
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Page Last Revised - July 7, 2022
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