---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Research\FRBSF\Laptop\Brookings2013\Progs\STATA\log\Regression results.txt
  log type:  text
 opened on:  15 Oct 2013, 16:31:30

. 
. * Load the data
. * ----------------------------------------------------------------------------------------------------------------------------------
. * Save the data to a STATA format dataset. Replace the file if it already exists
. use "`dtafile'", replace

. 
. * OLS regressions for comparison with spreadsheet
. * ----------------------------------------------------------------------------------------------------------------------------------
. gen dshare = share11 - share87
(28 missing values generated)

. gen dshareprc = 100*dshare/share87
(28 missing values generated)

. gen dshareKN  = (average_share/(1-average_share))*(ln(share11)-ln(share87))
(28 missing values generated)

. gen dshareKN2 = (1/(1-average_share))*(share11-share87)
(28 missing values generated)

. gen dreleqprice = 100*((1+deqprice/100)/(1+dprice/100)-1)
(28 missing values generated)

. gen dummanuf = 0

. replace dummanuf = 1 if (number > 11 )&(number < 34)
(22 real changes made)

. gen deqpricemanuf = dummanuf*deqprice
(28 missing values generated)

. gen dimportexposureunions87 = dimportexposure*unions87
(31 missing values generated)

. 
. * exclude oil and gas extraction
. drop if number == 7
(1 observation deleted)

. * drop if number == 31
. 
. * Karabarbounis-Neiman type regression
. * ----------------------------------------------------------------------------------------------------------------------------------
. regress dshareKN dreleqprice

      Source |       SS       df       MS              Number of obs =      59
-------------+------------------------------           F(  1,    57) =    1.17
       Model |  .066064546     1  .066064546           Prob > F      =  0.2847
    Residual |  3.22888367    57  .056647082           R-squared     =  0.0201
-------------+------------------------------           Adj R-squared =  0.0029
       Total |  3.29494822    58  .056809452           Root MSE      =  .23801

------------------------------------------------------------------------------
    dshareKN |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 dreleqprice |   -.016245   .0150427    -1.08   0.285    -.0463675    .0138774
       _cons |   .0817251   .0504317     1.62   0.111    -.0192627    .1827129
------------------------------------------------------------------------------

. regress dshareKN deqprice

      Source |       SS       df       MS              Number of obs =      59
-------------+------------------------------           F(  1,    57) =    2.61
       Model |  .144421008     1  .144421008           Prob > F      =  0.1115
    Residual |  3.15052721    57  .055272407           R-squared     =  0.0438
-------------+------------------------------           Adj R-squared =  0.0271
       Total |  3.29494822    58  .056809452           Root MSE      =   .2351

------------------------------------------------------------------------------
    dshareKN |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    deqprice |   .0310681     .01922     1.62   0.112    -.0074193    .0695554
       _cons |   .1324072   .0309771     4.27   0.000     .0703766    .1944378
------------------------------------------------------------------------------

. 
. * Regression tables for paper
. * ----------------------------------------------------------------------------------------------------------------------------------
. 
. * OLS regressions
. * ----------------------------------------------------------------------------------------------------------------------------------
. quietly regress dshare deqprice

. estimates store m1, title(OLS-I)

. quietly regress dshare dimportexposure

. estimates store m2, title(OLS-II)

. quietly regress dshare dunions

. estimates store m3, title(OLS-III)

. quietly regress dshare dsteps

. estimates store m4, title(OLS-IV)

. quietly regress dshare deqprice

. estimates store m5, title(OLS-V)

. quietly regress dshare deqprice dimportexposure

. estimates store m6, title(OLS-VI)

. quietly regress dshare deqprice dimportexposure dunions 

. estimates store m7, title(OLS-VII)

. quietly regress dshare deqprice dimportexposure dunions unions87 dimportexposureunions87

. estimates store m8, title(OLS-VIII)

. 
. estout m1 m2 m3 m4, cells(b(star fmt(3)) se(par fmt(2))) ///
>    legend label varlabels(_cons Constant) ///
>    stats(r2 df_r)

------------------------------------------------------------------------------------
                            OLS-I          OLS-II         OLS-III          OLS-IV   
                             b/se            b/se            b/se            b/se   
------------------------------------------------------------------------------------
deqprice                   -2.087*                                                  
                           (0.86)                                                   
dimportexposure                            -0.479*                                  
                                           (0.19)                                   
dunions                                                     0.311                   
                                                           (0.16)                   
dsteps                                                                      2.611   
                                                                          (13.85)   
Constant                   -6.567***       -3.232          -3.412          -5.956***
                           (1.39)          (1.78)          (2.01)          (1.52)   
------------------------------------------------------------------------------------
r2                          0.093           0.098           0.065           0.001   
df_r                       57.000          57.000          54.000          57.000   
------------------------------------------------------------------------------------
* p<0.05, ** p<0.01, *** p<0.001

. estout m5 m6 m7 m8, cells(b(star fmt(3)) se(par fmt(2))) ///
>    legend label varlabels(_cons Constant) ///
>    stats(r2 df_r)

------------------------------------------------------------------------------------
                            OLS-V          OLS-VI         OLS-VII        OLS-VIII   
                             b/se            b/se            b/se            b/se   
------------------------------------------------------------------------------------
deqprice                   -2.087*         -1.656          -1.247          -0.731   
                           (0.86)          (0.87)          (0.92)          (0.97)   
dimportexposure                            -0.386          -0.376          -0.599   
                                           (0.19)          (0.21)          (0.43)   
dunions                                                     0.119          -0.078   
                                                           (0.17)          (0.22)   
unions87                                                                   -0.225   
                                                                           (0.15)   
dimportexposureun~87                                                        0.007   
                                                                           (0.01)   
Constant                   -6.567***       -4.192*         -3.063           0.371   
                           (1.39)          (1.81)          (2.22)          (3.47)   
------------------------------------------------------------------------------------
r2                          0.093           0.153           0.160           0.201   
df_r                       57.000          56.000          52.000          50.000   
------------------------------------------------------------------------------------
* p<0.05, ** p<0.01, *** p<0.001

.    
. * WLS regressions
. * ----------------------------------------------------------------------------------------------------------------------------------
. quietly regress dshare deqprice [aw=vashare]

. estimates store m1, title(WLS-I)

. quietly regress dshare dimportexposure [aw=vashare]

. estimates store m2, title(WLS-II)

. quietly regress dshare dunions [aw=vashare]

. estimates store m3, title(WLS-III)

. quietly regress dshare dsteps [aw=vashare]

. estimates store m4, title(WLS-IV)

. quietly regress dshare deqprice [aw=vashare]

. estimates store m5, title(WLS-V)

. quietly regress dshare deqprice dimportexposure [aw=vashare]

. estimates store m6, title(WLS-VI)

. quietly regress dshare deqprice dimportexposure dunions [aw=vashare]

. estimates store m7, title(WLS-VII)

. quietly regress dshare deqprice dimportexposure dunions unions87 dimportexposureunions87 [aw=vashare]

. estimates store m8, title(WLS-VIII)

. 
. estout m1 m2 m3 m4, cells(b(star fmt(3)) se(par fmt(2))) ///
>    legend label varlabels(_cons Constant) ///
>    stats(r2 df_r)

------------------------------------------------------------------------------------
                            WLS-I          WLS-II         WLS-III          WLS-IV   
                             b/se            b/se            b/se            b/se   
------------------------------------------------------------------------------------
deqprice                   -1.524                                                   
                           (0.78)                                                   
dimportexposure                            -0.865***                                
                                           (0.21)                                   
dunions                                                     0.215                   
                                                           (0.14)                   
dsteps                                                                     -3.784   
                                                                          (13.92)   
Constant                   -4.864***       -0.444          -2.501          -3.940** 
                           (1.20)          (1.29)          (1.48)          (1.18)   
------------------------------------------------------------------------------------
r2                          0.062           0.222           0.044           0.001   
df_r                       57.000          57.000          54.000          57.000   
------------------------------------------------------------------------------------
* p<0.05, ** p<0.01, *** p<0.001

. estout m5 m6 m7 m8, cells(b(star fmt(3)) se(par fmt(2))) ///
>    legend label varlabels(_cons Constant) ///
>    stats(r2 df_r)

------------------------------------------------------------------------------------
                            WLS-V          WLS-VI         WLS-VII        WLS-VIII   
                             b/se            b/se            b/se            b/se   
------------------------------------------------------------------------------------
deqprice                   -1.524          -1.027          -0.901          -0.980   
                           (0.78)          (0.72)          (0.74)          (0.80)   
dimportexposure                            -0.808***       -0.817**        -1.407***
                                           (0.22)          (0.24)          (0.38)   
dunions                                                     0.009           0.007   
                                                           (0.13)          (0.21)   
unions87                                                                   -0.137   
                                                                           (0.15)   
dimportexposureun~87                                                        0.026   
                                                                           (0.01)   
Constant                   -4.864***       -1.360          -1.297           1.056   
                           (1.20)          (1.43)          (1.62)          (2.32)   
------------------------------------------------------------------------------------
r2                          0.062           0.250           0.254           0.309   
df_r                       57.000          56.000          52.000          50.000   
------------------------------------------------------------------------------------
* p<0.05, ** p<0.01, *** p<0.001

.    
. * Close the log file
. * ----------------------------------------------------------------------------------------------------------------------------------
. log close
      name:  <unnamed>
       log:  C:\Research\FRBSF\Laptop\Brookings2013\Progs\STATA\log\Regression results.txt
  log type:  text
 closed on:  15 Oct 2013, 16:31:30
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
