The commonest sort of autocorrelation is very first-order serial correlation, which often can possibly be constructive or damaging. Optimistic serial correlation is the place a favourable error in a single time period carries in excess of into a positive mistake for the subsequent period.
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Imagine if you use a tobit design where the dependent my review here variable will take values of zero or over zero and you will get a destructive intercept. You run the tobit product and you simply notice a unfavorable regular. What does this imply In such a case?
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