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One common problem is **missing data**. When you create lagged variables, you'll often have missing values at the beginning of your time series, because there are no past values to compute. EViews will usually handle this gracefully by assigning a missing value, but it's important to be aware of how this might affect your results. You can use EViews' data handling tools to fill in missing values, or you can exclude the missing observations from your analysis. The main thing is to ensure your final model is free from statistical biases due to missing values.
