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kimx0961
Obsidian | Level 7

 

The following dataset shows that the firm with gvkey 1011 has four observations that 'emps5' variable is available and the firm with gvkey 1012 has 0 observation that 'emps5' variable is available. Is there any sas program that picks only firm-observations per each firm that  at least three observations of 'emps5' variables are avaiable using 'sql' statement?

Thank you for your help

 

 

 

 

gvkey

001011

 

 

fyear

1988

.

 

emps5

0010111989.
0010111990.
00101119910.01495
00101119920.01378
00101119930.01339
00101119940.01415
0010121988.
0010121989.
7 REPLIES 7
stat_sas
Ammonite | Level 13

What is the required output? If you want to list all variables for those gvkey having at least 3 values for emps5 then following code may provide you the desired output.

 

proc sql;

select * from have

group by gvkey

having count(emps5)>=3;

quit;

Reeza
Super User
Does it matter if the years are consecutive, or is any three years valid?

kimx0961
Obsidian | Level 7

Thanks The following code works well.

proc sql; create table want  select * from have group by gvkey

having count(emps5)>=3; quit;

 

Is there any condition should be incldued in the code that the three years are consecutive?

Thanks again

kimx0961
Obsidian | Level 7

Hi,

 

The following code enables me to capture observations with the number of variable 'emps5' is greater than 3.

proc sql; create table want  select * from have group by gvkey

having count(emps5)>=3; quit;

 

Is there any condition should be incldued in the code that the three years are consecutive?

Thank you for your help

Reeza
Super User

To clarify, the 3 years should be consecutive?

The method provided does not support finding 3 consecutive years and needs modification if that is the case. 

kimx0961
Obsidian | Level 7

Hi Reeza,

Yes. the 3 years should be consecutive.

Thank you for your help

kimx0961
Obsidian | Level 7

Hi Reeza,

 

Do you have a suggested code for picking up consecutive observations of three years?

Thank you very much

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