Calculating MOEs from derived ACS estimates

Mark Mather over 11 years ago

Over the years, we have heard from a lot of people interested in getting an easy-to-use tool that would help people calculate margins of error from derived ACS data (e.g., data combined across categories or geographies). There are several organizations that have developed some basic applications that might be useful. Here are the links:

sdcclearinghouse.wordpress.com/.../
www.psc.isr.umich.edu/.../
pad.human.cornell.edu/.../
fyi.uwex.edu/.../
www.demography.state.mn.us/.../StatisticalCalculationsMenu.xls

If you are using a different application in your organization, feel free to post it here.

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Lin Song over 10 years ago

Just read the string of discussion. The topic changed from "how to calculate MOE for aggregated data" to "what CV standard to use". The last post was almost a year ago and I did not see a solution for the MOE problem.

Has anybody found a solution for calculating the correct MOE for aggregated data? In additional, for aggregated data, is it true that if the calculated MOE/SE are incorrect, then the CVs are also incorrectly calculated? Thanks.
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Blake over 6 years ago in reply to Lin Song

Old thread but placing here in case others stumble across it like i did. The census has a very good section with several examples of the pitfalls or aggregating MOE. See pg 25 in American Community Survey Multiyear Accuracy of the Data (5-year 2012-2016) www2.census.gov/.../MultiyearACSAccuracyofData2016.pdf
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Blake over 6 years ago in reply to Lin Song

Old thread but placing here in case others stumble across it like i did. The census has a very good section with several examples of the pitfalls or aggregating MOE. See pg 25 in American Community Survey Multiyear Accuracy of the Data (5-year 2012-2016) www2.census.gov/.../MultiyearACSAccuracyofData2016.pdf
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