HERE WAS MY STATA CODE FOR THE COBB-DOUGLAS PORTION OF PROBLEM SET#7

log using a:prodfun, replace t
infile outpt labor capital using a:cobbdoug.txt
generate logout = log(outpt)
generate loglab = log(labor)
generate logcap = log(capital)
regress logout loglab logcap
generate logr1 = log(outpt/capital)
generate logr2 = log(labor/capital)
regress logr1 logr2
log close
clear

****************************************
HERE IS THE REGRESSION OUTPUT FOR THIS QUESTION
****************************************

. regress logout loglab logcap

      Source |       SS       df       MS              Number of obs =      15
-------------+------------------------------           F(  2,    12) =   48.07
       Model |  .538038027     2  .269019013           Prob > F      =  0.0000
    Residual |  .067158351    12  .005596529           R-squared     =  0.8890
-------------+------------------------------           Adj R-squared =  0.8705
       Total |  .605196377    14  .043228313           Root MSE      =  .07481

------------------------------------------------------------------------------
      logout |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      loglab |   1.498767   .5398018     2.78   0.017     .3226405    2.674894
      logcap |   .4898585   .1020435     4.80   0.000     .2675249    .7121922
       _cons |  -3.338459   2.449504    -1.36   0.198    -8.675471    1.998552
------------------------------------------------------------------------------




. regress logr1 logr2

      Source |       SS       df       MS              Number of obs =      15
-------------+------------------------------           F(  1,    13) =   17.21
       Model |  .121067299     1  .121067299           Prob > F      =  0.0011
    Residual |  .091475102    13  .007036546           R-squared     =  0.5696
-------------+------------------------------           Adj R-squared =  0.5365
       Total |    .2125424    14    .0151816           Root MSE      =  .08388

------------------------------------------------------------------------------
       logr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       logr2 |   .3870201   .0933039     4.15   0.001     .1854492    .5885909
       _cons |   1.708573    .415882     4.11   0.001     .8101142    2.607031
------------------------------------------------------------------------------

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BELOW IS MY STATA OUTPUT FOR THE LABOR SUPPLY DATA: 

infile weeks D D2 afqt spouseinc kids ed using labsupply.txt
(2477 observations read)

. generate inckids = spouseinc*kids

. regress weeks spouseinc inckids kids ed afqt

      Source |       SS       df       MS              Number of obs =    2477
-------------+------------------------------           F(  5,  2471) =   46.13
       Model |  89020.4522     5  17804.0904           Prob > F      =  0.0000
    Residual |  953641.823  2471  385.933559           R-squared     =  0.0854
-------------+------------------------------           Adj R-squared =  0.0835
       Total |  1042662.28  2476  421.107543           Root MSE      =  19.645

------------------------------------------------------------------------------
       weeks |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   spouseinc |  -.0266353   .0416003    -0.64   0.522    -.1082103    .0549397
     inckids |  -.0951181   .0467714    -2.03   0.042    -.1868333    -.003403
        kids |  -9.546357   1.449137    -6.59   0.000      -12.388   -6.704709
          ed |   .7507508   .2425939     3.09   0.002     .2750424    1.226459
        afqt |   .0545196   .0182852     2.98   0.003     .0186637    .0903755
       _cons |   32.85079   3.160789    10.39   0.000     26.65272    39.04886
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