Hi

I do not have any experience with using imputation to fill out missing observations. After having read about various reasons behind possible missing values, I think that the observations in my dataset are missing at random.

The data I am using is countries in Subsaharan Africa in the period from 2000-2014. The variables with missing observations are CPI (Corruption Perception Index) and PolityIV (The PolityIV democratic index).

Most of the missing observations are in certain countries in the early period of my dataset. Fx Benin is missing CPI observation from 2000-2003.

How do I deal with this using imputation?

Code:
. misstable summarize
                                                               Obs<.
                                                +------------------------------
               |                                | Unique
      Variable |     Obs=.     Obs>.     Obs<.  | values        Min         Max
  -------------+--------------------------------+------------------------------
           CPI |       127                 518  |     55         10          65
      PolityIV |        33                 612  |     18         -7          10
Thank you in advance.