| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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| name: <unnamed>
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| log: C:\Users\s14759\Documents\London Season\results to check 21 09\3 Replication package\results\Appendix\TableB1_A_smallcluster.log
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| log type: text
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| opened on: 21 Sep 2021, 17:41:31
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| . keep if wom==1 & nthismarriage<2 & age1861>=15 & age1861<=35
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| (29,382 observations deleted)
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| . preserve
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| . keep if nthismarr==1 & myear!=.
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| (374 observations deleted)
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| . qui probit cOut syntheticT $controls, cluster(byear)
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| . keep if e(sample)==1
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| (0 observations deleted)
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| . clustse probit cOut syntheticT $controls, cluster(byear) method(pairs) reps(5000)
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| Cluster variable is byear
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| Number of clusters is 22
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| Cluster variable is byear
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| Number of clusters for model is 22
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| Starting 5000 Bootstrap Replications
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| Bootstrap iterations completed. Now storing model results...
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| The model ran succesfully and stored results in 5000 bootstrap iterations.
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|
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| Model Results
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| ------------------------------------------------------------
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| Coefficient Prob>|t| 95%_CI_low 95%_CI_high
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| ------------------------------------------------------------
|
| syntheticT .01250341 0.043 .00053083 .02447599
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| pr4 -.54176846 0.000 -.77606637 -.30747055
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| biorder .01166037 0.459 -.02064228 .04396301
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| hengpee -.26225486 0.006 -.43379387 -.09071585
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| _cons .6535065 0.000 .44743685 .85957616
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| ------------------------------------------------------------
|
| The t-statistics and 95% confidence intervals are generated from the pairs
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| cluster bootstrap-t procedure and are robust to clustering with a small number
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| 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
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| calculate the distribution of t. For p < .05 significance tests, specify reps(500)
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| or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specify
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| reps(5000) or more. More iterations will also yield more accurate confidence
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| intervals. Post-estimation procedures should not be run on this model.
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| . clustse probit mheir syntheticT $controls, cluster(byear) method(pairs) reps(5000)
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| Cluster variable is byear
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| Number of clusters is 22
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| Cluster variable is byear
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| Number of clusters for model is 22
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| Starting 5000 Bootstrap Replications
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| > ......................................................................
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| Bootstrap iterations completed. Now storing model results...
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| 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
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| pr4 .51373108 0.000 .30213262 .72532955
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| biorder -.03638472 0.031 -.06947874 -.00329069
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| hengpee .21759372 0.016 .04760826 .38757918
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| _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.
|
| . cgmwildboot fmissmatch syntheticT $controls, cluster(byear) bootcluster(byear) reps(5000)
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| Bootstrap reps (5000)
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| .
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| Regress with clustered SEs/Wild bootstrap (5000 successful resamples)
|
| Number of clustvars= 1 Number of obs = 324
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| Num combinations = 1 R-squared = 0.0331
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| Adj R-squared = 0.0210
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| G(byear) = 22
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| (Bootstrapped)
|
| -------------------------------------------------------------------------
|
| fmissmatch| Coef. Null p-value [95% Conf. Interval]
|
| ------------+------------------------------------------------------------
|
| syntheticT| .52446906 . .0292 .15715289 .91134298
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| pr4| .92884966 . .6656 -3.1360803 4.9661989
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| biorder| .13569906 . .7852 -.87773132 1.1158038
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| hengpee| -2.3499277 . .2868 -6.3917923 1.6225221
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| cons| 22.849733 . .0008 15.075672 30.495239
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| -------------------------------------------------------------------------
|
| . cgmwildboot fmissmatch2 syntheticT $controls, cluster(byear) bootcluster(byear) reps(5000)
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| Bootstrap reps (5000)
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| ----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
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| .
|
| Regress with clustered SEs/Wild bootstrap (5000 successful resamples)
|
| Number of clustvars= 1 Number of obs = 324
|
| Num combinations = 1 R-squared = 0.0818
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| Adj R-squared = 0.0703
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| G(byear) = 22
|
| (Bootstrapped)
|
| -------------------------------------------------------------------------
|
| fmissmatch2| Coef. Null p-value [95% Conf. Interval]
|
| ------------+------------------------------------------------------------
|
| syntheticT| -.5161954 . .0432 -.90029079 -.11161625
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| pr4| -15.932393 . .0004 -22.923826 -8.6604996
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| biorder| -1.0706268 . .1124 -2.2353189 .05569148
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| hengpee| 7.6818063 . .0744 .32167414 15.227368
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| cons| 12.325776 . .0108 3.4169128 20.796759
|
| -------------------------------------------------------------------------
|
| . clustse probit fdown syntheticT $controls, cluster(byear) method(pairs) reps(5000)
|
| Cluster variable is byear
|
| Number of clusters is 22
|
| Cluster variable is byear
|
| Number of clusters for model is 22
|
| Starting 5000 Bootstrap Replications
|
| ..................................................................................................................................................................................................................................
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| > ................................................................................................................................................................................................................................
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| > ................................................................................................................................................................................................................................
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| > ................................................................................................................................................................................................................................
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| > ................................................................................................................................................................................................................................
|
| > ......................................................................
|
| 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.
|
| . restore
|
| . keep if dage>35 & dyear>byear+1 & prank>1 // married and unmarried women
|
| (267 observations deleted)
|
| . qui probit celibacy syntheticT $controls, cluster(byear)
|
| . keep if e(sample)==1 // keep sample of non-missing variables
|
| (0 observations deleted)
|
| . clustse probit celibacy syntheticT $controls, cluster(byear) method(pairs) reps(5000)
|
| Cluster variable is byear
|
| Number of clusters is 22
|
| Cluster variable is byear
|
| Number of clusters for model is 22
|
| Starting 5000 Bootstrap Replications
|
| ..................................................................................................................................................................................................................................
|
| > ................................................................................................................................................................................................................................
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| > ................................................................................................................................................................................................................................
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| > ................................................................................................................................................................................................................................
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| > ................................................................................................................................................................................................................................
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| > ................................................................................................................................................................................................................................
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| > ................................................................................................................................................................................................................................
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| > ................................................................................................................................................................................................................................
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| > ................................................................................................................................................................................................................................
|
| > ................................................................................................................................................................................................................................
|
| > ......................................................................
|
| 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.
|
| . log close
|
| name: <unnamed>
|
| log: C:\Users\s14759\Documents\London Season\results to check 21 09\3 Replication package\results\Appendix\TableB1_A_smallcluster.log
|
| log type: text
|
| closed on: 21 Sep 2021, 18:13:30
|
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
|
|