Dear all,
I use the generalized linear model module to estimate a Poisson regression
in SPSS. (Potential) problem: The data represent an interrupted time series
(one country, 30 observations). Is it possible to adjust the standard errors
for the fact that the observations won't be independent - if so, how could
this be done in SPSS?
As an alternative, I thougt about using an autoregressive model (including
the predictors at t-1), but I am not sure whether this would yield adequate
standard errors?
Best, N.
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