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Re: st: smoothing question

From   Maarten Buis <>
Subject   Re: st: smoothing question
Date   Tue, 25 Feb 2014 10:21:06 +0100

I would first try to find out what is going on in that one day. Talk
to the persons that collected the data, or if that is not possible, to
other persons that have used this data. If you know why such a large
difference occurs you most often can make a much more informed
decision on how to deal with that.

Hope this helps,

On Tue, Feb 25, 2014 at 12:18 AM, DeMichele, Matthew <> wrote:
> This may be outside the scope of the listserve, but I'm going to throw
> it out just in case someone has ideas. My situation is more
> methodological than software driven. I'm tasked with adjusting
> time-series data from 1980-2010 of about 480 respondents reporting
> administrative data for two time points in a single year. For instance,
> a respondent is asked in January of 2010 to report December 31, 2009 and
> January 1, 2009 populations. This is repeated annually. What we've
> noticed is that December 31, 2009 populations sometimes have large
> differences with January 1, 2010 (one day). It could be that an
> administrative or legal change took place, or even a recording error. My
> question is if anyone has advice for whether this seems to be best
> addressed with an ARIMA or exponential smoothing model. Or, if the
> Census X-12-ARIMA model/software if a better approach to address extreme
> values/trading-day adjustments.
> My apologies in advance if this is not something that fits the
> listserve.
> Matthew
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Maarten L. Buis
Reichpietschufer 50
10785 Berlin
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