Q. A sure way of removing multicollinearity from the model is to (Solved)

1. Work with panel data

2. Drop variables that cause multicollinearity in the first place

3. Transform the variables by first differencing them

4. Obtaining additional sample data

  • b. Drop variables that cause multicollinearity in the first place
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