| | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| | name: <unnamed>
|
| | log: C:\Users\s14759\Documents\London Season\results to check 21 09\3 Replication package\results\Table2_smallcluster.log
|
| | log type: text
|
| | opened on: 21 Sep 2021, 11:25:22
|
| |
|
| | . keep if wom==1 & nthismarriage<2 & age1861>=15 & age1861<=35
|
| | (29,382 observations deleted)
|
| |
|
| | . preserve
|
| |
|
| | . keep if nthismarr==1 & myear!=.
|
| | (374 observations deleted)
|
| |
|
| | . foreach x in "" distlondon{
|
| | 2. qui probit cOut syntheticT $controls `x', cluster(byear)
|
| | 3. keep if e(sample)==1 // keep sample of non-missing variables
|
| | 4. clustse probit cOut syntheticT $controls `x', cluster(byear) method(pairs) reps(5000)
|
| | 5. clustse probit mheir syntheticT $controls `x', cluster(byear) method(pairs) reps(5000)
|
| | 6. cgmwildboot fmissmatch syntheticT $controls `x', cluster(byear) bootcluster(byear) reps(5000)
|
| | 7. cgmwildboot fmissmatch2 syntheticT $controls `x', cluster(byear) bootcluster(byear) reps(5000)
|
| | 8. clustse probit fdown syntheticT $controls `x', cluster(byear) method(pairs) reps(5000)
|
| | 9. }
|
| | (0 observations deleted)
|
| | Cluster variable is byear
|
| | Number of clusters is 22
|
| | Cluster variable is byear
|
| | Number of clusters for model is 22
|
| | Starting 5000 Bootstrap Replications
|
| | ..................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ......................................................................
|
| | Bootstrap iterations completed. Now storing model results...
|
| | The model ran succesfully and stored results in 5000 bootstrap iterations.
|
| |
|
| | Model Results
|
| | ------------------------------------------------------------
|
| | Coefficient Prob>|t| 95%_CI_low 95%_CI_high
|
| | ------------------------------------------------------------
|
| | syntheticT .01250341 0.043 .00053083 .02447599
|
| | pr4 -.54176846 0.000 -.77606637 -.30747055
|
| | biorder .01166037 0.459 -.02064228 .04396301
|
| | hengpee -.26225486 0.006 -.43379387 -.09071585
|
| | _cons .6535065 0.000 .44743685 .85957616
|
| | ------------------------------------------------------------
|
| | The t-statistics and 95% confidence intervals are generated from the pairs
|
| | cluster bootstrap-t procedure and are robust to clustering with a small number
|
| | of sampling units. Please note that the accuracy of the t-statistics and CIs
|
| | is conditional on the number of bootstrap replications that were used to
|
| | calculate the distribution of t. For p < .05 significance tests, specify reps(500)
|
| | or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specify
|
| | reps(5000) or more. More iterations will also yield more accurate confidence
|
| | intervals. Post-estimation procedures should not be run on this model.
|
| | Cluster variable is byear
|
| | Number of clusters is 22
|
| | Cluster variable is byear
|
| | Number of clusters for model is 22
|
| | Starting 5000 Bootstrap Replications
|
| | ..................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ......................................................................
|
| | Bootstrap iterations completed. Now storing model results...
|
| | The model ran succesfully and stored results in 5000 bootstrap iterations.
|
| |
|
| | Model Results
|
| | ------------------------------------------------------------
|
| | Coefficient Prob>|t| 95%_CI_low 95%_CI_high
|
| | ------------------------------------------------------------
|
| | syntheticT -.01155927 0.033 -.0219456 -.00117295
|
| | pr4 .51373108 0.000 .30213262 .72532955
|
| | biorder -.03638472 0.031 -.06947874 -.00329069
|
| | hengpee .21759372 0.016 .04760826 .38757918
|
| | _cons -.81090007 0.000 -1.1161616 -.50563852
|
| | ------------------------------------------------------------
|
| | The t-statistics and 95% confidence intervals are generated from the pairs
|
| | cluster bootstrap-t procedure and are robust to clustering with a small number
|
| | of sampling units. Please note that the accuracy of the t-statistics and CIs
|
| | is conditional on the number of bootstrap replications that were used to
|
| | calculate the distribution of t. For p < .05 significance tests, specify reps(500)
|
| | or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specify
|
| | reps(5000) or more. More iterations will also yield more accurate confidence
|
| | intervals. Post-estimation procedures should not be run on this model.
|
| | Bootstrap reps (5000)
|
| | ----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
|
| | ................................................. 50
|
| | .................................................. 100
|
| | .................................................. 150
|
| | .................................................. 200
|
| | .................................................. 250
|
| | .................................................. 300
|
| | .................................................. 350
|
| | .................................................. 400
|
| | .................................................. 450
|
| | .................................................. 500
|
| | .................................................. 550
|
| | .................................................. 600
|
| | .................................................. 650
|
| | .................................................. 700
|
| | .................................................. 750
|
| | .................................................. 800
|
| | .................................................. 850
|
| | .................................................. 900
|
| | .................................................. 950
|
| | .................................................. 1000
|
| | .................................................. 1050
|
| | .................................................. 1100
|
| | .................................................. 1150
|
| | .................................................. 1200
|
| | .................................................. 1250
|
| | .................................................. 1300
|
| | .................................................. 1350
|
| | .................................................. 1400
|
| | .................................................. 1450
|
| | .................................................. 1500
|
| | .................................................. 1550
|
| | .................................................. 1600
|
| | .................................................. 1650
|
| | .................................................. 1700
|
| | .................................................. 1750
|
| | .................................................. 1800
|
| | .................................................. 1850
|
| | .................................................. 1900
|
| | .................................................. 1950
|
| | .................................................. 2000
|
| | .................................................. 2050
|
| | .................................................. 2100
|
| | .................................................. 2150
|
| | .................................................. 2200
|
| | .................................................. 2250
|
| | .................................................. 2300
|
| | .................................................. 2350
|
| | .................................................. 2400
|
| | .................................................. 2450
|
| | .................................................. 2500
|
| | .................................................. 2550
|
| | .................................................. 2600
|
| | .................................................. 2650
|
| | .................................................. 2700
|
| | .................................................. 2750
|
| | .................................................. 2800
|
| | .................................................. 2850
|
| | .................................................. 2900
|
| | .................................................. 2950
|
| | .................................................. 3000
|
| | .................................................. 3050
|
| | .................................................. 3100
|
| | .................................................. 3150
|
| | .................................................. 3200
|
| | .................................................. 3250
|
| | .................................................. 3300
|
| | .................................................. 3350
|
| | .................................................. 3400
|
| | .................................................. 3450
|
| | .................................................. 3500
|
| | .................................................. 3550
|
| | .................................................. 3600
|
| | .................................................. 3650
|
| | .................................................. 3700
|
| | .................................................. 3750
|
| | .................................................. 3800
|
| | .................................................. 3850
|
| | .................................................. 3900
|
| | .................................................. 3950
|
| | .................................................. 4000
|
| | .................................................. 4050
|
| | .................................................. 4100
|
| | .................................................. 4150
|
| | .................................................. 4200
|
| | .................................................. 4250
|
| | .................................................. 4300
|
| | .................................................. 4350
|
| | .................................................. 4400
|
| | .................................................. 4450
|
| | .................................................. 4500
|
| | .................................................. 4550
|
| | .................................................. 4600
|
| | .................................................. 4650
|
| | .................................................. 4700
|
| | .................................................. 4750
|
| | .................................................. 4800
|
| | .................................................. 4850
|
| | .................................................. 4900
|
| | .................................................. 4950
|
| | .................................................. 5000
|
| | .
|
| | Regress with clustered SEs/Wild bootstrap (5000 successful resamples)
|
| | Number of clustvars= 1 Number of obs = 324
|
| | Num combinations = 1 R-squared = 0.0331
|
| | Adj R-squared = 0.0210
|
| | G(byear) = 22
|
| | (Bootstrapped)
|
| | -------------------------------------------------------------------------
|
| | fmissmatch| Coef. Null p-value [95% Conf. Interval]
|
| | ------------+------------------------------------------------------------
|
| | syntheticT| .52446906 . .0292 .15715289 .91134298
|
| | pr4| .92884966 . .6656 -3.1360803 4.9661989
|
| | biorder| .13569906 . .7852 -.87773132 1.1158038
|
| | hengpee| -2.3499277 . .2868 -6.3917923 1.6225221
|
| | cons| 22.849733 . .0008 15.075672 30.495239
|
| | -------------------------------------------------------------------------
|
| | Bootstrap reps (5000)
|
| | ----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
|
| | ................................................. 50
|
| | .................................................. 100
|
| | .................................................. 150
|
| | .................................................. 200
|
| | .................................................. 250
|
| | .................................................. 300
|
| | .................................................. 350
|
| | .................................................. 400
|
| | .................................................. 450
|
| | .................................................. 500
|
| | .................................................. 550
|
| | .................................................. 600
|
| | .................................................. 650
|
| | .................................................. 700
|
| | .................................................. 750
|
| | .................................................. 800
|
| | .................................................. 850
|
| | .................................................. 900
|
| | .................................................. 950
|
| | .................................................. 1000
|
| | .................................................. 1050
|
| | .................................................. 1100
|
| | .................................................. 1150
|
| | .................................................. 1200
|
| | .................................................. 1250
|
| | .................................................. 1300
|
| | .................................................. 1350
|
| | .................................................. 1400
|
| | .................................................. 1450
|
| | .................................................. 1500
|
| | .................................................. 1550
|
| | .................................................. 1600
|
| | .................................................. 1650
|
| | .................................................. 1700
|
| | .................................................. 1750
|
| | .................................................. 1800
|
| | .................................................. 1850
|
| | .................................................. 1900
|
| | .................................................. 1950
|
| | .................................................. 2000
|
| | .................................................. 2050
|
| | .................................................. 2100
|
| | .................................................. 2150
|
| | .................................................. 2200
|
| | .................................................. 2250
|
| | .................................................. 2300
|
| | .................................................. 2350
|
| | .................................................. 2400
|
| | .................................................. 2450
|
| | .................................................. 2500
|
| | .................................................. 2550
|
| | .................................................. 2600
|
| | .................................................. 2650
|
| | .................................................. 2700
|
| | .................................................. 2750
|
| | .................................................. 2800
|
| | .................................................. 2850
|
| | .................................................. 2900
|
| | .................................................. 2950
|
| | .................................................. 3000
|
| | .................................................. 3050
|
| | .................................................. 3100
|
| | .................................................. 3150
|
| | .................................................. 3200
|
| | .................................................. 3250
|
| | .................................................. 3300
|
| | .................................................. 3350
|
| | .................................................. 3400
|
| | .................................................. 3450
|
| | .................................................. 3500
|
| | .................................................. 3550
|
| | .................................................. 3600
|
| | .................................................. 3650
|
| | .................................................. 3700
|
| | .................................................. 3750
|
| | .................................................. 3800
|
| | .................................................. 3850
|
| | .................................................. 3900
|
| | .................................................. 3950
|
| | .................................................. 4000
|
| | .................................................. 4050
|
| | .................................................. 4100
|
| | .................................................. 4150
|
| | .................................................. 4200
|
| | .................................................. 4250
|
| | .................................................. 4300
|
| | .................................................. 4350
|
| | .................................................. 4400
|
| | .................................................. 4450
|
| | .................................................. 4500
|
| | .................................................. 4550
|
| | .................................................. 4600
|
| | .................................................. 4650
|
| | .................................................. 4700
|
| | .................................................. 4750
|
| | .................................................. 4800
|
| | .................................................. 4850
|
| | .................................................. 4900
|
| | .................................................. 4950
|
| | .................................................. 5000
|
| | .
|
| | Regress with clustered SEs/Wild bootstrap (5000 successful resamples)
|
| | Number of clustvars= 1 Number of obs = 324
|
| | Num combinations = 1 R-squared = 0.0818
|
| | Adj R-squared = 0.0703
|
| | G(byear) = 22
|
| | (Bootstrapped)
|
| | -------------------------------------------------------------------------
|
| | fmissmatch2| Coef. Null p-value [95% Conf. Interval]
|
| | ------------+------------------------------------------------------------
|
| | syntheticT| -.5161954 . .0432 -.90029079 -.11161625
|
| | pr4| -15.932393 . .0004 -22.923826 -8.6604996
|
| | biorder| -1.0706268 . .1124 -2.2353189 .05569148
|
| | hengpee| 7.6818063 . .0744 .32167414 15.227368
|
| | cons| 12.325776 . .0108 3.4169128 20.796759
|
| | -------------------------------------------------------------------------
|
| | Cluster variable is byear
|
| | Number of clusters is 22
|
| | Cluster variable is byear
|
| | Number of clusters for model is 22
|
| | Starting 5000 Bootstrap Replications
|
| | ..................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ......................................................................
|
| | Bootstrap iterations completed. Now storing model results...
|
| | The model ran succesfully and stored results in 5000 bootstrap iterations.
|
| |
|
| | Model Results
|
| | ------------------------------------------------------------
|
| | Coefficient Prob>|t| 95%_CI_low 95%_CI_high
|
| | ------------------------------------------------------------
|
| | syntheticT .02424761 0.010 .00683177 .04166346
|
| | pr4 .55108109 0.000 .27765966 .82450253
|
| | biorder .03233997 0.146 -.01171039 .07639033
|
| | hengpee -.34791694 0.041 -.68096061 -.01487326
|
| | _cons -.47806676 0.020 -.85790118 -.09823235
|
| | ------------------------------------------------------------
|
| | The t-statistics and 95% confidence intervals are generated from the pairs
|
| | cluster bootstrap-t procedure and are robust to clustering with a small number
|
| | of sampling units. Please note that the accuracy of the t-statistics and CIs
|
| | is conditional on the number of bootstrap replications that were used to
|
| | calculate the distribution of t. For p < .05 significance tests, specify reps(500)
|
| | or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specify
|
| | reps(5000) or more. More iterations will also yield more accurate confidence
|
| | intervals. Post-estimation procedures should not be run on this model.
|
| | (167 observations deleted)
|
| | Cluster variable is byear
|
| | Number of clusters is 22
|
| | Cluster variable is byear
|
| | Number of clusters for model is 22
|
| | Starting 5000 Bootstrap Replications
|
| | ..................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ......................................................................
|
| | Bootstrap iterations completed. Now storing model results...
|
| | The model ran succesfully and stored results in 5000 bootstrap iterations.
|
| |
|
| | Model Results
|
| | ------------------------------------------------------------
|
| | Coefficient Prob>|t| 95%_CI_low 95%_CI_high
|
| | ------------------------------------------------------------
|
| | syntheticT .01596219 0.039 .00073792 .03118647
|
| | pr4 -.52473987 0.002 -.80633489 -.24314485
|
| | biorder .01311286 0.536 -.0317732 .05799893
|
| | hengpee -.16067679 0.318 -.48580949 .16445591
|
| | distlondon .00035773 0.502 -.0007587 .00147416
|
| | _cons .43669615 0.053 -.01263424 .88602654
|
| | ------------------------------------------------------------
|
| | The t-statistics and 95% confidence intervals are generated from the pairs
|
| | cluster bootstrap-t procedure and are robust to clustering with a small number
|
| | of sampling units. Please note that the accuracy of the t-statistics and CIs
|
| | is conditional on the number of bootstrap replications that were used to
|
| | calculate the distribution of t. For p < .05 significance tests, specify reps(500)
|
| | or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specify
|
| | reps(5000) or more. More iterations will also yield more accurate confidence
|
| | intervals. Post-estimation procedures should not be run on this model.
|
| | Cluster variable is byear
|
| | Number of clusters is 22
|
| | Cluster variable is byear
|
| | Number of clusters for model is 22
|
| | Starting 5000 Bootstrap Replications
|
| | ..................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ......................................................................
|
| | Bootstrap iterations completed. Now storing model results...
|
| | The model ran succesfully and stored results in 5000 bootstrap iterations.
|
| |
|
| | Model Results
|
| | ------------------------------------------------------------
|
| | Coefficient Prob>|t| 95%_CI_low 95%_CI_high
|
| | ------------------------------------------------------------
|
| | syntheticT -.0138486 0.021 -.02544206 -.00225513
|
| | pr4 .51122222 0.001 .27533028 .74711416
|
| | biorder -.03803022 0.077 -.08076155 .0047011
|
| | hengpee .1289368 0.485 -.26320832 .52108191
|
| | distlondon -.00012706 0.834 -.00139246 .00113835
|
| | _cons -.69262828 0.017 -1.2455234 -.13973312
|
| | ------------------------------------------------------------
|
| | The t-statistics and 95% confidence intervals are generated from the pairs
|
| | cluster bootstrap-t procedure and are robust to clustering with a small number
|
| | of sampling units. Please note that the accuracy of the t-statistics and CIs
|
| | is conditional on the number of bootstrap replications that were used to
|
| | calculate the distribution of t. For p < .05 significance tests, specify reps(500)
|
| | or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specify
|
| | reps(5000) or more. More iterations will also yield more accurate confidence
|
| | intervals. Post-estimation procedures should not be run on this model.
|
| | Bootstrap reps (5000)
|
| | ----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
|
| | ................................................. 50
|
| | .................................................. 100
|
| | .................................................. 150
|
| | .................................................. 200
|
| | .................................................. 250
|
| | .................................................. 300
|
| | .................................................. 350
|
| | .................................................. 400
|
| | .................................................. 450
|
| | .................................................. 500
|
| | .................................................. 550
|
| | .................................................. 600
|
| | .................................................. 650
|
| | .................................................. 700
|
| | .................................................. 750
|
| | .................................................. 800
|
| | .................................................. 850
|
| | .................................................. 900
|
| | .................................................. 950
|
| | .................................................. 1000
|
| | .................................................. 1050
|
| | .................................................. 1100
|
| | .................................................. 1150
|
| | .................................................. 1200
|
| | .................................................. 1250
|
| | .................................................. 1300
|
| | .................................................. 1350
|
| | .................................................. 1400
|
| | .................................................. 1450
|
| | .................................................. 1500
|
| | .................................................. 1550
|
| | .................................................. 1600
|
| | .................................................. 1650
|
| | .................................................. 1700
|
| | .................................................. 1750
|
| | .................................................. 1800
|
| | .................................................. 1850
|
| | .................................................. 1900
|
| | .................................................. 1950
|
| | .................................................. 2000
|
| | .................................................. 2050
|
| | .................................................. 2100
|
| | .................................................. 2150
|
| | .................................................. 2200
|
| | .................................................. 2250
|
| | .................................................. 2300
|
| | .................................................. 2350
|
| | .................................................. 2400
|
| | .................................................. 2450
|
| | .................................................. 2500
|
| | .................................................. 2550
|
| | .................................................. 2600
|
| | .................................................. 2650
|
| | .................................................. 2700
|
| | .................................................. 2750
|
| | .................................................. 2800
|
| | .................................................. 2850
|
| | .................................................. 2900
|
| | .................................................. 2950
|
| | .................................................. 3000
|
| | .................................................. 3050
|
| | .................................................. 3100
|
| | .................................................. 3150
|
| | .................................................. 3200
|
| | .................................................. 3250
|
| | .................................................. 3300
|
| | .................................................. 3350
|
| | .................................................. 3400
|
| | .................................................. 3450
|
| | .................................................. 3500
|
| | .................................................. 3550
|
| | .................................................. 3600
|
| | .................................................. 3650
|
| | .................................................. 3700
|
| | .................................................. 3750
|
| | .................................................. 3800
|
| | .................................................. 3850
|
| | .................................................. 3900
|
| | .................................................. 3950
|
| | .................................................. 4000
|
| | .................................................. 4050
|
| | .................................................. 4100
|
| | .................................................. 4150
|
| | .................................................. 4200
|
| | .................................................. 4250
|
| | .................................................. 4300
|
| | .................................................. 4350
|
| | .................................................. 4400
|
| | .................................................. 4450
|
| | .................................................. 4500
|
| | .................................................. 4550
|
| | .................................................. 4600
|
| | .................................................. 4650
|
| | .................................................. 4700
|
| | .................................................. 4750
|
| | .................................................. 4800
|
| | .................................................. 4850
|
| | .................................................. 4900
|
| | .................................................. 4950
|
| | .................................................. 5000
|
| | .
|
| | Regress with clustered SEs/Wild bootstrap (5000 successful resamples)
|
| | Number of clustvars= 1 Number of obs = 260
|
| | Num combinations = 1 R-squared = 0.0460
|
| | Adj R-squared = 0.0272
|
| | G(byear) = 22
|
| | (Bootstrapped)
|
| | -------------------------------------------------------------------------
|
| | fmissmatch| Coef. Null p-value [95% Conf. Interval]
|
| | ------------+------------------------------------------------------------
|
| | syntheticT| .51175861 . .0368 .11105084 .90787917
|
| | pr4| -1.2030378 . .6716 -6.4088674 3.9814906
|
| | biorder| -.03590947 . .952 -1.0344726 .8917442
|
| | hengpee| 1.9899152 . .424 -2.2838321 6.3027687
|
| | distlondon| .0280129 . .0884 -.00078632 .05648913
|
| | cons| 18.122113 . .0072 7.8077435 28.293375
|
| | -------------------------------------------------------------------------
|
| | Bootstrap reps (5000)
|
| | ----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
|
| | ................................................. 50
|
| | .................................................. 100
|
| | .................................................. 150
|
| | .................................................. 200
|
| | .................................................. 250
|
| | .................................................. 300
|
| | .................................................. 350
|
| | .................................................. 400
|
| | .................................................. 450
|
| | .................................................. 500
|
| | .................................................. 550
|
| | .................................................. 600
|
| | .................................................. 650
|
| | .................................................. 700
|
| | .................................................. 750
|
| | .................................................. 800
|
| | .................................................. 850
|
| | .................................................. 900
|
| | .................................................. 950
|
| | .................................................. 1000
|
| | .................................................. 1050
|
| | .................................................. 1100
|
| | .................................................. 1150
|
| | .................................................. 1200
|
| | .................................................. 1250
|
| | .................................................. 1300
|
| | .................................................. 1350
|
| | .................................................. 1400
|
| | .................................................. 1450
|
| | .................................................. 1500
|
| | .................................................. 1550
|
| | .................................................. 1600
|
| | .................................................. 1650
|
| | .................................................. 1700
|
| | .................................................. 1750
|
| | .................................................. 1800
|
| | .................................................. 1850
|
| | .................................................. 1900
|
| | .................................................. 1950
|
| | .................................................. 2000
|
| | .................................................. 2050
|
| | .................................................. 2100
|
| | .................................................. 2150
|
| | .................................................. 2200
|
| | .................................................. 2250
|
| | .................................................. 2300
|
| | .................................................. 2350
|
| | .................................................. 2400
|
| | .................................................. 2450
|
| | .................................................. 2500
|
| | .................................................. 2550
|
| | .................................................. 2600
|
| | .................................................. 2650
|
| | .................................................. 2700
|
| | .................................................. 2750
|
| | .................................................. 2800
|
| | .................................................. 2850
|
| | .................................................. 2900
|
| | .................................................. 2950
|
| | .................................................. 3000
|
| | .................................................. 3050
|
| | .................................................. 3100
|
| | .................................................. 3150
|
| | .................................................. 3200
|
| | .................................................. 3250
|
| | .................................................. 3300
|
| | .................................................. 3350
|
| | .................................................. 3400
|
| | .................................................. 3450
|
| | .................................................. 3500
|
| | .................................................. 3550
|
| | .................................................. 3600
|
| | .................................................. 3650
|
| | .................................................. 3700
|
| | .................................................. 3750
|
| | .................................................. 3800
|
| | .................................................. 3850
|
| | .................................................. 3900
|
| | .................................................. 3950
|
| | .................................................. 4000
|
| | .................................................. 4050
|
| | .................................................. 4100
|
| | .................................................. 4150
|
| | .................................................. 4200
|
| | .................................................. 4250
|
| | .................................................. 4300
|
| | .................................................. 4350
|
| | .................................................. 4400
|
| | .................................................. 4450
|
| | .................................................. 4500
|
| | .................................................. 4550
|
| | .................................................. 4600
|
| | .................................................. 4650
|
| | .................................................. 4700
|
| | .................................................. 4750
|
| | .................................................. 4800
|
| | .................................................. 4850
|
| | .................................................. 4900
|
| | .................................................. 4950
|
| | .................................................. 5000
|
| | .
|
| | Regress with clustered SEs/Wild bootstrap (5000 successful resamples)
|
| | Number of clustvars= 1 Number of obs = 260
|
| | Num combinations = 1 R-squared = 0.1196
|
| | Adj R-squared = 0.1023
|
| | G(byear) = 22
|
| | (Bootstrapped)
|
| | -------------------------------------------------------------------------
|
| | fmissmatch2| Coef. Null p-value [95% Conf. Interval]
|
| | ------------+------------------------------------------------------------
|
| | syntheticT| -.53740112 . .0592 -.95698059 -.11514398
|
| | pr4| -19.371472 . .0012 -29.070549 -9.7186127
|
| | biorder| -1.1477158 . .0772 -2.2346396 -.05963609
|
| | hengpee| 1.9797054 . .6304 -6.0722351 9.9125834
|
| | distlondon| -.03911269 . .0124 -.0669891 -.01147295
|
| | cons| 25.49763 . 0 13.67887 37.518631
|
| | -------------------------------------------------------------------------
|
| | Cluster variable is byear
|
| | Number of clusters is 22
|
| | Cluster variable is byear
|
| | Number of clusters for model is 22
|
| | Starting 5000 Bootstrap Replications
|
| | ..................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ......................................................................
|
| | Bootstrap iterations completed. Now storing model results...
|
| | The model ran succesfully and stored results in 5000 bootstrap iterations.
|
| |
|
| | Model Results
|
| | ------------------------------------------------------------
|
| | Coefficient Prob>|t| 95%_CI_low 95%_CI_high
|
| | ------------------------------------------------------------
|
| | syntheticT .02453651 0.047 .00081129 .04826173
|
| | pr4 .70423924 0.001 .36909109 1.0393874
|
| | biorder .03448472 0.196 -.01729697 .08626641
|
| | hengpee -.13324024 0.496 -.55140482 .28492434
|
| | distlondon .00132235 0.074 -.00014745 .00279214
|
| | _cons -.93954671 0.001 -1.4498561 -.4292373
|
| | ------------------------------------------------------------
|
| | The t-statistics and 95% confidence intervals are generated from the pairs
|
| | cluster bootstrap-t procedure and are robust to clustering with a small number
|
| | of sampling units. Please note that the accuracy of the t-statistics and CIs
|
| | is conditional on the number of bootstrap replications that were used to
|
| | calculate the distribution of t. For p < .05 significance tests, specify reps(500)
|
| | or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specify
|
| | reps(5000) or more. More iterations will also yield more accurate confidence
|
| | intervals. Post-estimation procedures should not be run on this model.
|
| |
|
| | . restore
|
| |
|
| | . keep if dage>35 & dyear>byear+1 & prank>1 // married and unmarried women
|
| | (267 observations deleted)
|
| |
|
| | . foreach x in "" distlondon{
|
| | 2. qui probit celibacy syntheticT $controls `x', cluster(byear)
|
| | 3. keep if e(sample)==1 // keep sample of non-missing variables
|
| | 4. clustse probit celibacy syntheticT $controls `x', cluster(byear) method(pairs) reps(5000)
|
| | 5. }
|
| | (0 observations deleted)
|
| | Cluster variable is byear
|
| | Number of clusters is 22
|
| | Cluster variable is byear
|
| | Number of clusters for model is 22
|
| | Starting 5000 Bootstrap Replications
|
| | ..................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ......................................................................
|
| | Bootstrap iterations completed. Now storing model results...
|
| | The model ran succesfully and stored results in 5000 bootstrap iterations.
|
| |
|
| | Model Results
|
| | ------------------------------------------------------------
|
| | Coefficient Prob>|t| 95%_CI_low 95%_CI_high
|
| | ------------------------------------------------------------
|
| | syntheticT .00712594 0.227 -.00517455 .01942643
|
| | pr4 -.31583318 0.009 -.5449397 -.08672665
|
| | biorder .07054775 0.000 .04646176 .09463374
|
| | hengpee -.11472903 0.294 -.34194344 .11248537
|
| | _cons -.91024006 0.000 -1.1744089 -.64607122
|
| | ------------------------------------------------------------
|
| | The t-statistics and 95% confidence intervals are generated from the pairs
|
| | cluster bootstrap-t procedure and are robust to clustering with a small number
|
| | of sampling units. Please note that the accuracy of the t-statistics and CIs
|
| | is conditional on the number of bootstrap replications that were used to
|
| | calculate the distribution of t. For p < .05 significance tests, specify reps(500)
|
| | or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specify
|
| | reps(5000) or more. More iterations will also yield more accurate confidence
|
| | intervals. Post-estimation procedures should not be run on this model.
|
| | (200 observations deleted)
|
| | Cluster variable is byear
|
| | Number of clusters is 22
|
| | Cluster variable is byear
|
| | Number of clusters for model is 22
|
| | Starting 5000 Bootstrap Replications
|
| | ..................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ................................................................................................................................................................................................................................
|
| | > ......................................................................
|
| | Bootstrap iterations completed. Now storing model results...
|
| | The model ran succesfully and stored results in 5000 bootstrap iterations.
|
| |
|
| | Model Results
|
| | ------------------------------------------------------------
|
| | Coefficient Prob>|t| 95%_CI_low 95%_CI_high
|
| | ------------------------------------------------------------
|
| | syntheticT .00797576 0.282 -.00712203 .02307355
|
| | pr4 -.22975135 0.105 -.5119776 .05247489
|
| | biorder .08380822 0.000 .05020425 .11741218
|
| | hengpee -.26007161 0.069 -.54128597 .02114275
|
| | distlondon -.001061 0.030 -.00202118 -.00010083
|
| | _cons -.76684838 0.001 -1.1513541 -.38234269
|
| | ------------------------------------------------------------
|
| | The t-statistics and 95% confidence intervals are generated from the pairs
|
| | cluster bootstrap-t procedure and are robust to clustering with a small number
|
| | of sampling units. Please note that the accuracy of the t-statistics and CIs
|
| | is conditional on the number of bootstrap replications that were used to
|
| | calculate the distribution of t. For p < .05 significance tests, specify reps(500)
|
| | or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specify
|
| | reps(5000) or more. More iterations will also yield more accurate confidence
|
| | intervals. Post-estimation procedures should not be run on this model.
|
| |
|
| | . log close
|
| | name: <unnamed>
|
| | log: C:\Users\s14759\Documents\London Season\results to check 21 09\3 Replication package\results\Table2_smallcluster.log
|
| | log type: text
|
| | closed on: 21 Sep 2021, 12:28:19
|
| | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
| |
|
