BookmarkSubscribeRSS Feed
mmaxiu
Calcite | Level 5
Hi, everyone.

I'm using Compustat to attempt to compute an auditor industry specialist variable with the following method of calculation: Industry Specialization = Sum of square root of total assets of auditor clients (by gvkey) in a particular industry (sic code )divided by the sum of the square root of total assets of all clients of the auditor. Auditors with fewer than 10 clients per year are coded as =0.

I plan to pull the auditor, fiscal year, gvkey, sic code, and total assets for each firm on a firm-year basis. I was thinking it might be possible to use some form of nested if first. statement using a table with that data, but I'm stuck and don't really know where to start with the coding, as I'm a SAS beginner.

Any ideas?

Thanks!
4 REPLIES 4
andreas_lds
Jade | Level 19

Other may be able to help you without further information, i am not. I need to the see an excerpt of the data as data step and the expected result using that data.

mkeintz
PROC Star

Here's a way to use proc freq to generate the results you want (for each auditor/sic generate the proportion of the auditor clients' total assets_squared arising from the sic):

 

I use the sashelp.class, modified, as an example.  I gave auditor 

 

data class;
  set sashelp.class (rename=(name=gvkey sex=sic));
  auditor=mod(_n_,3);
  assets_squared=age*age;
  if _n_= 10 then assets_squared=weight*weight;
  drop age height weight;
run;

proc sort;
  by auditor;
run;

proc freq ;
  by auditor;
  table sic / out=want (rename=(count=assets_squared));
  weight assets_squared;
run;

It uses proc freq, because that proc generates percentages of assets_squared for each sic within each auditor.  You can add a "noprint" option to the proc freq statement to get the WANT dataset without the printed table.  

 

You could sort the WANT dataset by

    auditor  descending percent

and then the first obs for each auditor will be the most "specialized" sic for that auditor.

 

--------------------------
The hash OUTPUT method will overwrite a SAS data set, but not append. That can be costly. Consider voting for Add a HASH object method which would append a hash object to an existing SAS data set

Would enabling PROC SORT to simultaneously output multiple datasets be useful? Then vote for
Allow PROC SORT to output multiple datasets

--------------------------
mmaxiu
Calcite | Level 5

Thanks everyone for your help so far! Just wanted to add a few more details because I failed to mention about the fiscal year. Here is a look at the data table I have in SAS. For every combination of au (auditor) and fyear (fiscal year), I'm wanting to get a count of the unique gvkeys associated with that auditor and fiscal year. Then, if that gvkey count is less than 10 I want to have a variable called ISPEC that takes on a value of zero. If the value is 10 or greater, I need to compute the ISPEC variable based on the SIC2 code: For each combination of auditor, fiscal year, and SIC2 code, I need to compute the sum of the square root of at (total  assets) and then divide that by the sum of the square root of total assets of all gvkeys associated with a particular combination of auditor and fiscal year. 

 

mmaxiu_0-1714450089304.png

 

PaigeMiller
Diamond | Level 26

Industry Specialization = Sum of square root of total assets of auditor clients (by gvkey) in a particular industry (sic code )divided by the sum of the square root of total assets of all clients of the auditor.

 

Compute the square roots of the variables on each row in a DATA step. Compute the sum of the square roots by gvkey and sic code by using PROC MEANS or PROC SUMMARY. (Do not try to compute sums by gvkey/sic code by yourself, SAS has already done this for you). Then, once done, do the division in another data step.

 

Working with sum of square roots seems somewhat strange way to calculate something. Are you sure this is written correctly? Should it should say "sum of squares"?

--
Paige Miller

SAS Innovate 2025: Save the Date

 SAS Innovate 2025 is scheduled for May 6-9 in Orlando, FL. Sign up to be first to learn about the agenda and registration!

Save the date!

How to Concatenate Values

Learn how use the CAT functions in SAS to join values from multiple variables into a single value.

Find more tutorials on the SAS Users YouTube channel.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 4 replies
  • 570 views
  • 0 likes
  • 4 in conversation