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.
Parents
  • This is not a very cheery addition, but I have posted a Census Bureau presentation that was shared with me and discusses the formula for calculating CV, but note slide 25:

    "We have found that the approximation formula seriously breaks down when aggregating more than four estimates. So we suggest you aggregate the fewest number of estimates as possible." Other options they recommend are: calculate the estimates using the Public Use Microdata Sample (PUMS) or request a special tabulation (fee based and certain criteria apply).
Reply
  • This is not a very cheery addition, but I have posted a Census Bureau presentation that was shared with me and discusses the formula for calculating CV, but note slide 25:

    "We have found that the approximation formula seriously breaks down when aggregating more than four estimates. So we suggest you aggregate the fewest number of estimates as possible." Other options they recommend are: calculate the estimates using the Public Use Microdata Sample (PUMS) or request a special tabulation (fee based and certain criteria apply).
Children
No Data