---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- name: 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 // sample (29,382 observations deleted) . preserve . keep if nthismarr==1 & myear!=. // married (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 .................................................................................................................................................................................................................................. > ................................................................................................................................................................................................................................ > 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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 .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 .................................................................................................................................................................................................................................. > ................................................................................................................................................................................................................................ > ................................................................................................................................................................................................................................ > 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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 -.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 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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 = 0.0331 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 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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 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 .................................................................................................................................................................................................................................. > ................................................................................................................................................................................................................................ > 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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. (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 .................................................................................................................................................................................................................................. > ................................................................................................................................................................................................................................ > ................................................................................................................................................................................................................................ > 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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 .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 .................................................................................................................................................................................................................................. > ................................................................................................................................................................................................................................ > ................................................................................................................................................................................................................................ > 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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 -.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 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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 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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 .................................................................................................................................................................................................................................. > 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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 .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 .................................................................................................................................................................................................................................. > 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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. (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 .................................................................................................................................................................................................................................. > ................................................................................................................................................................................................................................ > ................................................................................................................................................................................................................................ > 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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 .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: 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 ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------