On Tue, 8 Apr 2008, Allin Cottrell wrote:
 When we do hsk we start by taking the residuals from OLS 
 estimation, squaring them, and taking logs.  If the model 
 contains an observation-specific dummy variable, the residual at 
 that observation will be exactly zero, yielding a zero square 
 and a log of minus infinity.
 
 I'm not sure what to do about that... 
Here's what I've done so far: if we come across a residual of 
exactly zero in hsk, we check if that observation is dummied out.  
If so, we drop it from the sample.  That's OK.  If it's not 
dummied out, I'm setting the "log of squared uhat" to the 
arbitrary value of -1.0e+16.  That's probably not so OK.  
Suggestions welcome.
Allin.