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Can still estimate OLS Parameters
2. OLS estimators are linear and unbiased
3. But OLS estimators are not the Best. LUE but not BLUE(best linear unbiased estimator)
4. Standard errors are high and biased
5. R2 is overestimated or inflated
6. t test, f tests are not reliable
7. The forecasts are unreliable
Diagnostic: time series data usually suffer from Auto correlation
Graphical Check (Step 1) Run OLS, find y?¦s and then errors et = ut
Step 2) Then plot the errors
Durbin-Watson Test (DW)
Treatment (if positive or Negative Correlation)
Increase data sample, taking log or other transformations, generalized least squares (GLS)m Prais ?V Wislen, Cochrave ?V Orcult, Hildreth Lu, Durban two step...
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Common topics in this essay:
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