I'm not sure that you can have your cake
and eat it here.
Sounds like a case for trimmed or Winsorized
means.
Nick
[email protected]
[email protected]
> the more I think about this the more I tend to agree that
> log(variable +
> fudge) is no solution to my transformation problem.
>
> Using -glm- is a nice idea. Unfortunately, inflation is not
> my response
> variable. The goal of the transformation of X (inflation rates) is to
> calculate various conditional means of X|Y (e.g. mean
> inflation rate in
> region Z in year C; or mean inflation rates of countries with
> property B in
> a given year etc.) and use these as IV in my logit model.
>
> The calculations of these means should not be too heavily
> influenced by the
> outliers (I do not want to use medians, since the outliers
> should enter the
> calculations of the averages).
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