--------------------------------------------------------------------------
      name:  <unnamed>
       log:  /disk/homedirs/nber/taxsim/public_html/to-taxsim/scf27-32/cod
> e/example1.log
  log type:  text
 opened on:   2 Jun 2021, 15:04:57

. set maxvar 8000


. use  "../bytaxunit/dta/scftax19"

. generate weight=x42001/5

. generate rep = mod(y1,10)

. generate taxunit = mod(taxsimid,10)+1

. 
. taxsim32,replace
begin taxsim32.ado on  2 Jun 2021 (version 32.8)
Intermediate files:
txpydata.raw 
results.raw 
 
ftp.txt
 
(1 real change made)
Write 36295 obs to txpydata.raw
(note: file txpydata.raw not found)
 Executing on taxsimssh.nber.org

(46 vars, 36,295 obs)
36295 obs received
file taxsim_out.dta saved

. 
. # Sum a tax-unit variable by marital status
Unknown #command
. table mstat [pw=weight],c(sum fiitax)

-----------------------
    mstat | sum(fiitax)
----------+------------
        1 |    4.64e+11
        2 |    1.48e+12
        6 |    2.93e+10
-----------------------

. 
. # Correct standard errors for replicates for a taxunit variable
Unknown #command
. micombine regress fiitax      [pw=weight],obsid(y1) impid(rep)
[Note: sample size in imputation 3 is 7259, different from 7258 in imp. 1]
[Note: sample size in imputation 4 is 7261, different from 7258 in imp. 1]
[Note: sample size in imputation 5 is 7259, different from 7258 in imp. 1]

Multiple imputation parameter estimates (5 imputations)
--------------------------------------------------------------------------
> ----
             |               Robust
      fiitax |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Inter
> val]
-------------+------------------------------------------------------------
> ----
       _cons |   11823.56   406.3011    29.10   0.000     11027.09    1262
> 0.03
--------------------------------------------------------------------------
> ----
7258 observations (imputation 1).

. 
. # With a household variable (Total Income)  for household heads only
Unknown #command
. micombine regress x5729        [pw=weight] if taxunit<=1,obsid(y1) impid
> (rep)
[Note: sample size in imputation 3 is 5188, different from 5189 in imp. 1]
[Note: sample size in imputation 4 is 5186, different from 5189 in imp. 1]
[Note: sample size in imputation 5 is 5188, different from 5189 in imp. 1]

Multiple imputation parameter estimates (5 imputations)
--------------------------------------------------------------------------
> ----
             |               Robust
       x5729 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Inter
> val]
-------------+------------------------------------------------------------
> ----
       _cons |   103544.2   2303.915    44.94   0.000     99027.53    1080
> 60.8
--------------------------------------------------------------------------
> ----
5189 observations (imputation 1).

. micombine regress fiitax x5729 [pw=weight] if taxunit<=1,obsid(y1) impid
> (rep)
[Note: sample size in imputation 3 is 5188, different from 5189 in imp. 1]
[Note: sample size in imputation 4 is 5186, different from 5189 in imp. 1]
[Note: sample size in imputation 5 is 5188, different from 5189 in imp. 1]

Multiple imputation parameter estimates (5 imputations)
--------------------------------------------------------------------------
> ----
             |               Robust
      fiitax |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Inter
> val]
-------------+------------------------------------------------------------
> ----
       x5729 |     .30138   .0089131    33.81   0.000     .2839065    .318
> 8535
       _cons |  -15426.68    875.173   -17.63   0.000    -17142.38   -1371
> 0.97
--------------------------------------------------------------------------
> ----
5189 observations (imputation 1).

. sum fiitax x5729 weight if taxunit<=1

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
      fiitax |     25,940    266329.9     3263074      -9656   2.16e+08
       x5729 |     25,940    914302.6    1.03e+07         -9   6.91e+08
      weight |     25,940    4398.533    2832.426   1.442477   14827.32

. 
. # Aggregate the tax results to household level so all taxpayers are 
Unknown #command
. # included in a household level regression.
Unknown #command
. collapse (mean) x5729 weight rep (sum) fiitax,by(y1)

. micombine regress x5729        [pw=weight],obsid(y1) impid(rep)

Multiple imputation parameter estimates (5 imputations)
--------------------------------------------------------------------------
> ----
             |               Robust
       x5729 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Inter
> val]
-------------+------------------------------------------------------------
> ----
       _cons |   101966.8    2099.57    48.57   0.000     97850.89    1060
> 82.8
--------------------------------------------------------------------------
> ----
5777 observations (imputation 1).

. micombine regress fiitax x5729 [pw=weight],obsid(y1) impid(rep)

Multiple imputation parameter estimates (5 imputations)
--------------------------------------------------------------------------
> ----
             |               Robust
      fiitax |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Inter
> val]
-------------+------------------------------------------------------------
> ----
       x5729 |   .2979965   .0094125    31.66   0.000     .2795446    .316
> 4485
       _cons |  -15059.83   924.9885   -16.28   0.000    -16873.16   -1324
> 6.51
--------------------------------------------------------------------------
> ----
5777 observations (imputation 1).

. sum fiitax x5729 weight

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
      fiitax |     28,885    279297.9     3176587  -16212.46   2.16e+08
       x5729 |     28,885    947911.8    1.00e+07         -9   6.91e+08
      weight |     28,885    4453.607    2815.046   1.442477   14827.32

. 
. 
end of do-file

. exit,clear