Rachel wrote:
> Thank you very much, Clive. Can the Arima model be used on
> cross-sectional time series data?
I see no reason why not if your cross-sections are, say,
regularly-spaced months or years _and_ you have lots of them. In my
field, the most common application of ARIMA are for fitting models
explaining party voting-intention shares drawn from monthly opinion
polls (and their lags). In any case, much depends upon how your
response variable is calibrated. You can join the dots from there.
--
Clive Nicholas
[Please DO NOT mail me personally here, but at
<[email protected]>. Please respond to contributions I make in
a list thread here. Thanks!]
"My colleagues in the social sciences talk a great deal about
methodology. I prefer to call it style." -- Freeman J. Dyson.
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