1. Combining time series data and cross sectional data.
2. Transforming variables into first differences.
3. Additional of new data.
4. Dropping variables especially those that are highly collinear.
5. Use of multivariate statistical techniques such as factor analysis, principal component analysis and ridge regression.
Jonmhumble answered the question on October 30, 2017 at 19:30
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