I'm working on a panel dataset, which has missing values for four variables (at the start, end and in-between of panels). I would like to remove the entire panel which has missing values.
This is the code I have tried to use so far:
bysort BvD_ID YEAR: drop if sum(!missing(REV_LAY,EMP_LAY,FX_ASSET_LAY,MATCOST_LAY))==0
This piece of code successfully removes all observations with missing values in any of the four variables but it retains observations with non-missing values.
Example data:
Firm_ID Year REV_LAY EMP_LAY FX_ASSET_LAY
001 2001 80 25 120
001 2002 75 . 122
001 2003 82 32 128
002 2001 40 15 45
002 2002 42 18 48
002 2003 45 20 50
In the above sample data, I want to drop panel Firm_ID = 001
completely.
You can do something like:
clear
input Firm_ID Year REV_LAY EMP_LAY FX_ASSET_LAY
001 2001 80 25 120
001 2002 75 . 122
001 2003 82 32 128
002 2001 40 15 45
002 2002 42 18 48
002 2003 45 20 50
end
generate index = _n
bysort Firm_ID (index): generate todrop = sum(missing(REV_LAY, EMP_LAY, FX_ASSET_LAY))
by Firm_ID: drop if todrop[_N]
list Firm_ID Year REV_LAY EMP_LAY FX_ASSET_LAY
+-----------------------------------------------+
| Firm_ID Year REV_LAY EMP_LAY FX_ASS~Y |
|-----------------------------------------------|
1. | 2 2001 40 15 45 |
2. | 2 2002 42 18 48 |
3. | 2 2003 45 20 50 |
+-----------------------------------------------+