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From |
"David Radwin" <dradwin@mprinc.com> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: Alternative to coefficient of variation (CV)/relative standard error as a measure of estimate's reliability/stability |

Date |
Tue, 12 Jun 2012 16:37:33 -0700 (PDT) |

Dear Statalisters, I hope you will indulge me this statistics question that is not strictly Stata-specific. I am looking for a statistic measuring an estimate's reliability or stability as an alternative to the coefficient of variation (CV), also known as the relative standard error. The CV is the standard error of an estimate (proportion, mean, regression coefficient, etc.) divided by the estimate itself, usually expressed as a percentage. For example, if a survey finds 15% unemployment with a 6% standard error, the CV is .06/.15 = .4 = 40%. Some US government agencies flag or suppress as unreliable any estimate with a CV over a certain threshold such as 30% or 50%. But this standard can be arbitrary (for example, 85% employment would have a much lower CV of .06/.85 = 7%) and has other limitations. Can anyone suggest an alternative measure of stability or reliability? David -- David Radwin Senior Research Associate MPR Associates, Inc. 2150 Shattuck Ave., Suite 800 Berkeley, CA 94704 Phone: 510-849-4942 Fax: 510-849-0794 www.mprinc.com * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Alternative to coefficient of variation (CV)/relative standard error as a measure of estimate's reliability/stability***From:*Nick Cox <njcoxstata@gmail.com>

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