Suppose you are dealing with time series data with some missing values and you decided to use regression imputation. What potential issues might arise and how could you address them?

In time series data, observations are usually dependent on time, so the independence assumption of regression imputation may be violated. This issue can be addressed by considering time dependence in the regression model used for imputation, for example by including lagged variables.