| Country | Year | Missing |
| A | 2005 | 0 |
| B | 2005 | 0 |
| C | 2005 | 0 |
| A | 2004 | 0 |
| B | 2004 | 0 |
| C | 2004 | 1 |
| A | 2003 | 1 |
| B | 2003 | 0 |
| C | 2003 | 0 |
above you can see a stylised version of my dataset. I generated a variable called "missing" in case a country did not report a value for this country year observation. My goal is simple: If a country(!) experienced a missing value at any point in time, all country year observations belonging to that country should be marked, so that I can exclude them from future calculations. In this example, I would want to exclude all countries but country B from further analyses (C has been flagged for 2004 and A for 2003, so only 3 observations would remain: country B in all 3 years).
I thought about: replace missing = 1 if... and then I don't know how to go on
So far, I generated another variable called "marker" that is equal to the country's name if missing == 1. I though about coding something like: replace missing = 1 if "Country A" part of marker. I would run this command for all countries in my dataset, but I don't know how to code "part of marker".
If anyone knows how to handle this situation and is willing to share this information, I would appreciate it a lot!
Looking forward to reading from you!