Large coefficients and std. errors I run a fixed effect model with Stata and because my dependent variable is a large number
(max of 12 million and min of - 4 million), I got large coefficients for all independent variables, although most variables are significant   
for example 
coefficients        


*

*122896.2
22478.689       

*21096.348
412.539          


is it a problem 
thanks in advance 
 A: This is not a statistical problem; it's fine. However, interpretation may be easier if you scale your dependent variable.  You didn't say what it is, but, for example, if it is income in Italian Lira, you could change it to income in millions of lira by dividing the DV by 1,000,000. The meaning is the same, but there will be fewer digits to deal with before the decimal. 
A: Many apologies if I have misunderstood your question. I believe your question is: "Is it OK that the regression coefficients are unusually large in magnitude". The answer is, yes it's OK, because the MLEs for the regression coefficients depend on the scale of your data.
However, just because the MLEs look large in magnitude, it doesn't necessarily mean that they are significant (that's what hypothesis tests do!). It can simply be the scale of your real data which mess things up. 
One way to get around this problem is to standardise your data so it's centred around, say zero, and has variance covariance matrix as the identity matrix.
