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Only about 9percentt of students who barely miss being in the TTP enroll in a flagship, so even the smallest point estimates imply being in the TTP increases the likelihood of flagship enrollment by almost 60percentt.
The magnitude of this effect is large; the smallest point estimates imply an increase of at least 60percentt above the baseline enrollment rate for students who barely miss being in the top decile.
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Despite the inherent problem with performing a difference-in-difference estimation with one policy change state, we believe that the small point estimates are noteworthy in themselves.
A similar pattern occurs for Norway's grade 9 and most other countries, with wide confidence intervals around small point estimates for b TICS (within) reflecting the large uncertainty around these findings.
Extending the analysis to consider the effects of changes to skilled migration policy on the occupational classifications of GSM and Employer Sponsored migrants as a group results in smaller point estimates that, though positive, are not statistically significant at the 95% confidence interval.
We obtained a smaller point estimate for the mean incubation period when the age risk was allowed to change during childhood rather than assumed constant (13.2 yrs CI95% [11.2, 15.8] vs. 16.4 yrs CI95%[111, 24] [ 3]).
Neighborhood SEP had the smallest magnitudes (point estimates).
If the main interest had been in a small error of point estimates (low RAEmedian), but less in good overall posterior properties (low RARMISE and uniform posterior probabilities of the true value) at the same time, boosting with the negative binomial log-likelihood loss and, somewhat surprisingly, ABC with all candidate statistics, would have been preferable to boosting with the L1- and L2-loss.
Confidence limits were small and the point estimates tended to be closer to the true estimate than with CCA.
We found the point estimate of Ne from MIGRATE was two orders of magnitude smaller than the point estimates from ONeSAMP, although their confidence intervals overlapped substantially.
As is evident in the tables, for some of the surveys the samples are quite small; therefore, the point estimates lack statistical precision (this has been flagged by giving estimates based on a cell size of less than 25 in parentheses).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com