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Ok but the original question was about statistically significant t-stats at "off-seasonal time periods."
Let's say I start with xt = b0 +b1xt-1
So if I have quarterly sales data and t = 3 has significant residual, I say there's serial correlation.
I add a lagged dependent variable and get xt = b0 + b1xt-1 + b2xt-2
But if t= 4 is significant, I say that this shows seasonality and my new model becomes xt = b0 + b1xt-1 + b2xt-4.
That is what i am trying to confirm. |
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