That's true. If we knew how the census bureau was aggregating smaller areas like
blocks into counties and calculating MOE's, then that would give us an idea for how to
aggregate counties into arbitrary groupings.
Steven Farber, Ph.D
Assistant Professor
Department of Geography
University or Utah
http://stevenfarber.wordpress.com
-----Original Message-----
From: ctpp-news-bounces(a)chrispy.net [mailto:ctpp-news-bounces@chrispy.net] On Behalf Of
hprawiranata
mitcrpc.org
Sent: March-12-13 10:38 AM
To: ctpp-news(a)chrispy.net
Subject: Re: [CTPP] Working with County flow data
My logic:
Measurement from single entities (one county with it sample) has its own error. Combining
multiple single measurements will create sum or error from each measurements.
IF
On Tue, Mar 12, 2013 at 12:18 PM, <liang.long(a)dot.gov> wrote:
I can see why Census doesn't recommend do more
than three variables at a time. When you add 17 counties together, you get a much bigger
area with more households sampled. In theory, you should get a smaller MOEs compared each
individual county. But if you derive MOEs from those 17 counties, you will get a much
bigger MOEs, which is contradictory to the theory.
________________________________________
From: ctpp-news-bounces(a)chrispy.net [ctpp-news-bounces(a)chrispy.net] on
behalf of Ed Christopher [edc(a)berwyned.com]
Sent: Tuesday, March 12, 2013 11:15 AM
To: ctpp-news(a)chrispy.net
Subject: Re: [CTPP] Working with County flow data
Thanks--I know the spread sheet allows you to recalculate MOEs for more than three
variables but I remember doing more than 3 a while back and I was getting some wild MOEs.
When I dug into it I found something in the Census compass reports that said not to do
more than three variables at a time. I was hoping that someone figured out a way around
this.
Ed C
On Mar 12, 2013, at 9:59 AM, "Hoctor Mulmat, Darlanne"
<Darlanne.Mulmat@sandag.org<mailto:Darlanne.Mulmat@sandag.org>> wrote:
The New York State Data Center developed a Statistical Calculations Menu that includes an
option for computing the margin of error for the sum of three or more estimates. See
attached.
Darlanne Hoctor Mulmat
Applied Research Division - Criminal Justice/Public Policy San Diego
Association of Governments
619-699-7326
From:
ctpp-news-bounces@chrispy.net<mailto:ctpp-news-bounces@chrispy.net>
[mailto:ctpp-news-bounces@chrispy.net] On Behalf Of
Ed.Christopher@dot.gov<mailto:Ed.Christopher@dot.gov>
Sent: Tuesday, March 12, 2013 6:57 AM
To: ctpp-news@chrispy.net<mailto:ctpp-news@chrispy.net>
Subject: [CTPP] Working with County flow data
Has anyone come up with some easy ways for collapsing and grouping counties together
using last week's county flow data and recalculating new MOEs. I have so many counties
that I want to group together that I am looking for a quick way that can handle
"lots" of counties. Another issue I am struggling with is that we are always
told not to group more than three variables at a time or the formulas for calculating the
new MOE do not really work. This is particularly troublesome especially if I am trying to
group 17 counties together. What it comes down to is 9 different calculations given that
I can only group 3 counties at a time together. Anyone figure out any short cuts or ways
around this short of disregarding the MOEs altogether? Given all the clustering that I am
looking at using the "cheat" sheets I am used to, I will be recalculating MOEs
for weeks.
Ed Christopher
<StatisticalCalculationsMenu.xls>
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