Work with interactive mapping tools from across the Census Bureau.
Collection of audio features and sound bites.
The Census Bureau packages data and information into easy-to-understand visuals.
Browse Census Bureau images.
Read briefs and reports from Census Bureau experts.
Watch Census Bureau vignettes, testimonials, and video files.
Read research analyses from Census Bureau experts.
Developer portal to access services and documentation for the Census Bureau's APIs.
Explore Census Bureau data on your mobile device with interactive tools.
Find a multitude of DVDs, CDs and publications in print by topic.
These external sites provide more data.
Download extraction tools to help you get the in-depth data you need.
Explore Census data with interactive visualizations covering a broad range of topics.
How we provide the best mix of timeliness, relevancy, quality, and cost for the data we collect.
Learn about other opportunities to collaborate with us.
Explore the rich historical background of an organization with roots almost as old as the nation.
Explore prospective positions available at the Census Bureau.
Information about the current field vacancies available at the U.S. Census Bureau Regional Offices.
Discover the latest in Census Bureau data releases, reports, and events.
The Census Bureau's Director writes on how we measure America's people, places and economy.
Find interesting and quirky statistics regarding national celebrations and major events.
Listen to audio files on fun facts, historical figures, and celebrations of the month.
Find media toolkits, advisories, and all the latest Census news.
See what's coming up in releases and reports.
Two widely-used seasonal adjustment programs are the U.S. Census Bureau's X-12-ARIMA and the SEATS program for ARIMA-model-based signal extraction written by Agustin Maravall. In previous studies with SEATS and X-12-ARIMA, we found some series where the adjustment from SEATS had smaller revisions than the adjustment from X-12-ARIMA (Hood, Ashley, and Findley, 2000). Based on this previous work, I will investigate the properties of a time series that make it a good candidate for adjustment by SEATS or by X-12-ARIMA. I used a version of X-12-ARIMA that has access to the SEATS algorithm. This allows computation of similar diagnostics for both programs — including sliding spans and revision diagnostics — to compare adjustments between the two programs.
In our earlier studies, we found that SEATS needs more diagnostics before we can recommend using SEATS for production work at the Bureau. In this paper, I show examples of why the diagnostics in X-12-SEATS are very useful. For example, SEATS can induce residual seasonality into the seasonally adjusted series when the original series isn't seasonal. The spectral diagnostics available in X-12-SEATS are very important to be able to see if the original series is seasonal or not. I also show an example of a series with very large revisions due to the model chosen by TRAMO. The revision history diagnostics are very useful to see series with large revisions.
seasonal adjustment, time series
This symbol indicates a link to a non-government web site. Our linking to these sites does not constitute an endorsement of any products, services or the information found on them. Once you link to another site you are subject to the policies of the new site.