I'm looking for examples and analyses of autocorrelation tests performed on cross-sectional data and the issues encountered (data prop for analysis, problems with estimations, etc). Not interested in spatial autocorrelation.
Many thanks in advance!
Interesting questions. I associate myself with this question.
The richer you are the more you save
The taller and good looking you are the higher your income
The more fashionable is your neighbourhood... the more expensive your house will be.
OK? You get it: the residuals on each of the auto-correlated variables will move in the same direction.
Should not be confused with multi-collinearity when 2 or more variables mean the same thing and become redundant.
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