And looking at the number of times each “IDNO” number appears by “commit_number_for_inmate” shows that ADOC is cleanly counting individuals in the data who they encounter multiple times, however…
Email sent again, looking forward to discussing. Per the data, there are 464,461 rows, but 257,058 unique "IDNOs." This makes it important to collapse the data on "IDNO." One person can commit multiple crimes, but one person can't be two gang members
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Is the Q really how many crimes do these people commit or have they ever been to prison? I think the former. But given high rate of recidivism by citizens as we show in the paper, that means a lot larger percentage of illegal population committing crime. See Hispanic not US bornpic.twitter.com/OQSy8OZhe0
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Because the characteristics of those in the dataset are of great consequence, analyzing all rows without collapsing (and one can easily collapse and sum over crimes) leads to a distorted view of the population of interest...
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