Calculating MOEs from derived ACS estimates

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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  • Gene, I can not talk for all of the sites above, but the Cornell site uses the Compass formula's. None of the sites have access to the covariances, so the covariance cannot be taken into account. The technical documentation of the ACS multi-year products has some examples of these calculations and shows that aggregating indeed does not always come close to the value in the table. MOE's that come with zero count estimates can further complex the situation as they inflate the aggregated MOE. I wanted to check if the latest technical documentation was changed on that point, but I guess that has to wait until the documentation is back online.
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  • Gene, I can not talk for all of the sites above, but the Cornell site uses the Compass formula's. None of the sites have access to the covariances, so the covariance cannot be taken into account. The technical documentation of the ACS multi-year products has some examples of these calculations and shows that aggregating indeed does not always come close to the value in the table. MOE's that come with zero count estimates can further complex the situation as they inflate the aggregated MOE. I wanted to check if the latest technical documentation was changed on that point, but I guess that has to wait until the documentation is back online.
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