st: [UNCLASSIFIED] SSC nearmrg comand, genmatch option gives wrong results.

["Lucchino, Paolo" <Paolo.Lucchino@hmtreasury.gsi.gov.uk>]

Nick, 

Thanks very much for your help and apologies for not quoting the source of the program.

Your suggestion is correct and now the program can run.

I also had to fix the stable option in the sort command (as documented in http://www.stata.com/statalist/archive/2009-08/msg00459.html)

However, I still have problems with the program as the variable generated by the genmatch option is wrong (see results below).
 
I'm contacting the first author, but also posting here in case someone has any suggestions.

Examples of datasets, commands used and (wrong) results at the end of this trail.

Thanks, 

Paolo  

-------------------------
Nick n.j.cox@durham.ac.uk 

I guess further that you may need to clone -nearmrg- and change references to `work' to references to "`work'", i.e. add extra double quotes. 


--------------------
Lucchino, Paolo

I'm having some problems getting the command nearmrg to work. I get this error message:  

invalid 'Settings' 
r(198);


---------------------


file ageinfo1 
        +----------------------------+ 
        id   gender   age   income 
        ---------------------------- 
1.      1        1    34       23 
2.      2        2    40       43 
3.      3        1    25       21 
4.      4        1    12       56 
5.      5        2    18       75 
        +----------------------------+
file ageinfo 2 
        +------------------+ 
        id   gender   age   
        -------------------- 
1.      12         2    34      
2.      213        2    40       
3.      314        1    25       
4.      415        1    12       
5.      516        2    18       
        +-------------------+ 

use ageinfo1, clear
sort gender age
save, replace

use ageinfo2, clear
sort gender age
nearmrg gender using ageinfo1, nearvar(age) lower genmatch(newage)

+-------------------------------------------------------+
id	gender	age		income	_merge	newage
+-------------------------------------------------------+
415       	1   	12      	56		3		1
314       	1   	25      	21		3		3
516       	2   	18      	75		3		2
12       	2   	34      	75		3		2
213       	2   	40      	43		3		5
+-------------------------------------------------------+

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