st: Logarithmic transformation in psm results

[s <s.afcha@ub.edu>]

Dear statalisters,

I'm  estimating propensity score matching (with psmatch2 routine) for a 
sample of firms participating in a
program. My outcome variable (turnover of the firm) is expressed in 
logarithm, and the results are similar to these:
----------------------------------------------------------------------------------------------------------------------
          Sample                 Treated         Controls           
Difference         S.E.           T-stat
----------------------------+----------------------------------------------------------------------------------------

        Unmatched         | 13.2005389   8.90516337   4.29537557   
.323484337    13.28
            ATT                 | 12.9789829    12.284779   .694203895  
   .303516206     2.29
----------------------------+----------------------------------------------------------------------------------------

How can I transform the results in order to interpret this results in 
terms of the original values.
My doubt arise mainly because when I estimate the ATT using the original 
variable expressed in
monetary units the value corresponding to treated and controls not 
coincide with the transformed values
of the results in logarithms.

------------------------------------------------------------------------------------------------------------------------------
Sample                  Treated           Controls             
Difference         S.E.           T-stat
----------------------------+-----------------------------------------------------------------------------------------------
Unmatched       |  3940905.5   642598.305       3298307.2        
266059.508    12.40
 ATT                  | 2687231.69  2091249.89       595981.797       
631105.497     0.94
----------------------------+-----------------------------------------------------------------------------------------------

Thanks in advance for your help,

Sergio

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