------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  M:\ReplicationData\JournalArticles\CrossleyLevellPoupakis.JAE\log\psidresults.txt
  log type:  text
 opened on:  11 Mar 2022, 15:54:58

. 
. reg lnrcon lnrhhinc_lag3 lnrhhinc_lag2 lnrhhinc_lag1 lnrhhinc lnrhhinc_lead1 lnrhousevalue $npcovariates if ever
> renter9913==0 & everincomezero9913==0 & rhousevalue_extreme==0 & rhhinc_extreme==0 & evermoved9913==0 & inrange(
> year,2005,2011) & proxiesnotmissing==1, cluster(id)

Linear regression                               Number of obs     =      5,407
                                                F(14, 1485)       =      86.31
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3327
                                                Root MSE          =     .48484

                                        (Std. Err. adjusted for 1,486 clusters in id)
-------------------------------------------------------------------------------------
                    |               Robust
             lnrcon |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
      lnrhhinc_lag3 |   .0474181   .0168661     2.81   0.005     .0143342    .0805021
      lnrhhinc_lag2 |   .0645124   .0156606     4.12   0.000     .0337932    .0952316
      lnrhhinc_lag1 |    .039905   .0152158     2.62   0.009     .0100582    .0697519
           lnrhhinc |   .1092319   .0222808     4.90   0.000     .0655267    .1529372
     lnrhhinc_lead1 |   .1049696   .0161931     6.48   0.000     .0732059    .1367334
      lnrhousevalue |   .1137641   .0161742     7.03   0.000     .0820373    .1454909
                age |   .0001759    .006572     0.03   0.979    -.0127155    .0130673
               age2 |  -.0000266   .0000581    -0.46   0.647    -.0001405    .0000873
           numpeeps |    .090281   .0094053     9.60   0.000     .0718318    .1087301
   lnrearnings_head |  -.0123522   .0149298    -0.83   0.408     -.041638    .0169335
rearnings_head_zero |  -.0912714   .1538795    -0.59   0.553    -.3931157    .2105729
           year2007 |   .0270549   .0141752     1.91   0.057    -.0007506    .0548604
           year2009 |   .0161537    .015424     1.05   0.295    -.0141014    .0464088
           year2011 |    .027232   .0162894     1.67   0.095    -.0047206    .0591847
              _cons |   4.679582   .2494841    18.76   0.000     4.190203    5.168961
-------------------------------------------------------------------------------------

. estimates store lnrcon

. reg lnrcon_hat lnrhhinc_lag3 lnrhhinc_lag2 lnrhhinc_lag1 lnrhhinc lnrhhinc_lead1 lnrhousevalue $npcovariates if 
> everrenter9913==0 & everincomezero9913==0 & rhousevalue_extreme==0 & rhhinc_extreme==0 & evermoved9913==0 & inra
> nge(year,2005,2011) & proxiesnotmissing==1, cluster(id)

Linear regression                               Number of obs     =      5,407
                                                F(14, 1485)       =      74.13
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2978
                                                Root MSE          =     .46091

                                        (Std. Err. adjusted for 1,486 clusters in id)
-------------------------------------------------------------------------------------
                    |               Robust
         lnrcon_hat |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
      lnrhhinc_lag3 |   .0349725   .0161469     2.17   0.030     .0032992    .0666457
      lnrhhinc_lag2 |   .0425096   .0139707     3.04   0.002     .0151052    .0699139
      lnrhhinc_lag1 |   .0229648   .0141262     1.63   0.104    -.0047447    .0506742
           lnrhhinc |    .075174   .0197299     3.81   0.000     .0364727    .1138754
     lnrhhinc_lead1 |   .0729412     .01482     4.92   0.000     .0438709    .1020116
      lnrhousevalue |   .0865225   .0155306     5.57   0.000     .0560583    .1169867
                age |   .0057315   .0062241     0.92   0.357    -.0064776    .0179405
               age2 |  -.0000815   .0000552    -1.48   0.140    -.0001898    .0000267
           numpeeps |    .103864   .0092036    11.29   0.000     .0858104    .1219175
   lnrearnings_head |   .0261217    .014952     1.75   0.081    -.0032076     .055451
rearnings_head_zero |   .2275085   .1550923     1.47   0.143    -.0767148    .5317318
           year2007 |   .0380359   .0133047     2.86   0.004     .0119379    .0641339
           year2009 |   .0219609   .0143225     1.53   0.125    -.0061336    .0500554
           year2011 |   .0292853   .0152784     1.92   0.055    -.0006842    .0592548
              _cons |   4.356044   .2297323    18.96   0.000     3.905409    4.806678
-------------------------------------------------------------------------------------

. estimates store lnrcon_hat

. reg lnrcon_hat_scaled lnrhhinc_lag3 lnrhhinc_lag2 lnrhhinc_lag1 lnrhhinc lnrhhinc_lead1 lnrhousevalue $npcovaria
> tes if everrenter9913==0 & everincomezero9913==0 & rhousevalue_extreme==0 & rhhinc_extreme==0 & evermoved9913==0
>  & inrange(year,2005,2011) & proxiesnotmissing==1, cluster(id)

Linear regression                               Number of obs     =      5,407
                                                F(14, 1485)       =      74.13
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2978
                                                Root MSE          =      .6208

                                        (Std. Err. adjusted for 1,486 clusters in id)
-------------------------------------------------------------------------------------
                    |               Robust
  lnrcon_hat_scaled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
      lnrhhinc_lag3 |   .0471049   .0217485     2.17   0.030     .0044438    .0897659
      lnrhhinc_lag2 |   .0572567   .0188173     3.04   0.002     .0203454    .0941679
      lnrhhinc_lag1 |   .0309315   .0190267     1.63   0.104    -.0063906    .0682537
           lnrhhinc |   .1012528   .0265744     3.81   0.000     .0491255    .1533802
     lnrhhinc_lead1 |   .0982455   .0199612     4.92   0.000     .0590903    .1374007
      lnrhousevalue |   .1165383   .0209184     5.57   0.000     .0755056    .1575709
                age |   .0077198   .0083834     0.92   0.357    -.0087247    .0241643
               age2 |  -.0001098   .0000743    -1.48   0.140    -.0002556     .000036
           numpeeps |   .1398957   .0123965    11.29   0.000     .1155792    .1642122
   lnrearnings_head |   .0351836   .0201391     1.75   0.081    -.0043204    .0746876
rearnings_head_zero |   .3064341   .2088958     1.47   0.143    -.1033281    .7161963
           year2007 |    .051231   .0179203     2.86   0.004     .0160793    .0863828
           year2009 |   .0295794   .0192911     1.53   0.125    -.0082614    .0674202
           year2011 |   .0394447   .0205786     1.92   0.055    -.0009216     .079811
              _cons |    5.86721   .3094293    18.96   0.000     5.260245    6.474175
-------------------------------------------------------------------------------------

. gen insample = e(sample)

. estimates store lnrcon_hat_scaled

. 
. esttab lnrcon lnrcon_hat lnrcon_hat_scaled using "results\sample2.txt", se(%5.3f) b(%5.3f) replace
(output written to results\sample2.txt)

. esttab lnrcon lnrcon_hat lnrcon_hat_scaled using "results\sample2.tex", se(%5.3f) b(%5.3f) replace tex
(output written to results\sample2.tex)

. 
. *Use FWL residualised variables to implement standard error correction
. foreach var in lnrcon_hat_scaled lnrhhinc_lag3 lnrhhinc_lag2 lnrhhinc_lag1 lnrhhinc lnrhhinc_lead1 lnrhousevalue
>  lnrallfood lnrutilities {
  2.         qui reg `var' $npcovariates if insample==1
  3.         qui predict fwl_`var' if insample==1, res 
  4. }

. 
. estimates use "estimates\fwl_first.ster"

. estimates store fwl_first

. 
. rrp $npcovariates lnrhhinc_lag3 lnrhhinc_lag2 lnrhhinc_lag1 lnrhhinc lnrhhinc_lead1 lnrhousevalue if insample==1
> , impute("lnrcon_hat_scaled2") proxies(lnrallfood lnrutilities) first(estimates\first.ster) partialrsq((e(r2))) 
> cluster(id)

Rescaled regression prediction
                                                      Number of obs =    5,407
                                                      F(14, 1485)     =    74.13
                                                      Prob > F      =   0.0000
                                                      R2            =   0.2978
                                                      Root MSE      =   0.6208
                                        (Std. Err. adjusted for 1,486 clusters in id)
-------------------------------------------------------------------------------------
                    |               Robust
 lnrcon_hat_scaled2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
                age |   .0077198   .0083835     0.92   0.357     -.008725    .0241646
               age2 |  -.0001098   .0000743    -1.48   0.140    -.0002556     .000036
           numpeeps |   .1398957   .0124108    11.27   0.000     .1155511    .1642403
   lnrearnings_head |   .0351836   .0201391     1.75   0.081    -.0043204    .0746877
rearnings_head_zero |   .3064342   .2088959     1.47   0.143    -.1033282    .7161967
           year2007 |    .051231   .0179256     2.86   0.004     .0160687    .0863933
           year2009 |   .0295794   .0193016     1.53   0.126    -.0082819    .0674406
           year2011 |   .0394447   .0205881     1.92   0.056    -.0009401    .0798295
      lnrhhinc_lag3 |   .0471049   .0217495     2.17   0.030     .0044418    .0897679
      lnrhhinc_lag2 |   .0572567   .0188197     3.04   0.002     .0203406    .0941727
      lnrhhinc_lag1 |   .0309315   .0190279     1.63   0.104    -.0063929    .0682559
           lnrhhinc |   .1012529     .02658     3.81   0.000     .0491145    .1533912
     lnrhhinc_lead1 |   .0982455   .0199659     4.92   0.000     .0590812    .1374097
      lnrhousevalue |   .1165383   .0209254     5.57   0.000     .0754917    .1575848
              _cons |    5.86721   .3112677    18.85   0.000     5.256638    6.477781
-------------------------------------------------------------------------------------

. 
. log close
      name:  <unnamed>
       log:  M:\ReplicationData\JournalArticles\CrossleyLevellPoupakis.JAE\log\psidresults.txt
  log type:  text
 closed on:  11 Mar 2022, 15:54:59
------------------------------------------------------------------------------------------------------------------
