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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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  • over 11 years ago
    When I read Nancy Gemignani's presentation ( See the presentation at www.dof.ca.gov/.../Basics_of_ACS_Nov2012.pdf slides 13-27.) I noticed that slide 15 suggested a recommendation of below 33% is a good "Relative MOE" and anything above to use with caution.

    The Compass handbooks say to use CVs > 15% with caution. Since the CV is the ratio of the SE to the estimate and the MOE is 1.645 * the SE then the Compass recommendation would imply anything over about 25% Relative MOE (i.e. 15% * 1.645) should be interpreted with caution.

    Recognizing the context affects the interpretation, what rules of thumb are others using?

    stan drezek
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  • over 11 years ago
    When I read Nancy Gemignani's presentation ( See the presentation at www.dof.ca.gov/.../Basics_of_ACS_Nov2012.pdf slides 13-27.) I noticed that slide 15 suggested a recommendation of below 33% is a good "Relative MOE" and anything above to use with caution.

    The Compass handbooks say to use CVs > 15% with caution. Since the CV is the ratio of the SE to the estimate and the MOE is 1.645 * the SE then the Compass recommendation would imply anything over about 25% Relative MOE (i.e. 15% * 1.645) should be interpreted with caution.

    Recognizing the context affects the interpretation, what rules of thumb are others using?

    stan drezek
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