st: stata 10 alternative to mibeta

[Will Hauser <whauseriii@gmail.com>]

Hello listers,
Using stata 10 I have performed 100 imputations using the ICE command.  
I can obtain regression results with the mim or micombine command but 
neither affords betas.  With the generous help of someone at the UCLA 
help group I've got a do file that's close but doesn't quite do it and I 
don't know enough to get it right.

The approach is to standardize all the variables then do each of the 100 
regressions, save the coefficients, and then average them.  If there's a 
flaw in this approach, or a better one, I'm open to your ideas.

Below is the do file.  Any advice you can offer would be greatly 
appreciated.

Will


**M should be set to the number of imputations used to create the dataset
local M = 100
**this local identifies the independent variables used in the regression 
equation
local reglist = "x1 x2 x3 x4"

* number of predictors in regression equation
local p = 4

 mat beta = J(`M', `p', 0)
 *local M = 100 */edited out because I think it's unnecessary

 foreach i of numlist 1/`M' {
   preserve

   keep if _mj == `i'

   foreach var of varlist `reglist' {
      capture drop std_`var'
    egen zz_`var' = std(`var')
    }
    egen z_courtsfair = std(courtsfair)
    qui regress z_courtsfair zz_*
    mat b=e(b)
     foreach k of numlist 1/`p' {
      mat beta[`i', `k'] = el(b, 1, `k')
     }
  restore
}


svmat beta, names(var)




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