I think you are better of with the RE approach, even if you are not interested in changes over time, as this model makes best use of the information in your data. Note that the RE estimator takes the correlated errors, i.e. the clustering of occasions in individuals, into account by design, which is another advantage - actually it is the reason it makes the best of your data.
If you still want to go with a cross section, just keep the values for one interview only. In that case, I guess a test for auto-correlation makes little sense, as auto-correlation in cross sections can only be due to clustering/sampling design, for which you should correct anyway.
Best
Daniel
If you still want to go with a cross section, just keep the values for one interview only. In that case, I guess a test for auto-correlation makes little sense, as auto-correlation in cross sections can only be due to clustering/sampling design, for which you should correct anyway.
Best
Daniel
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