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The Benefits to Taxpayers from Increases in Students - RAND ...

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Appendix D<br />

Incarceration Cost Estimations<br />

Our approach <strong>to</strong> estimat<strong>in</strong>g <strong>in</strong>carceration spend<strong>in</strong>g is a variant of the two-part model.<br />

<strong>The</strong> first part estimates the likelihood of becom<strong>in</strong>g an <strong>in</strong>mate and uses <strong>in</strong>dividual data<br />

<strong>from</strong> surveys of the crim<strong>in</strong>al justice system and the general population. <strong>The</strong> second<br />

part uses adm<strong>in</strong>istrative data <strong>to</strong> calculate per-person estimated <strong>in</strong>carceration spend<strong>in</strong>g,<br />

like some social support and <strong>in</strong>surance programs for which benefit data are not available<br />

<strong>in</strong> surveys.<br />

Probability of Incarceration<br />

Prisons<br />

We estimate the probability of imprisonment at the <strong>in</strong>dividual level as the number of<br />

prisoners <strong>in</strong> each demographic category divided by the general population for that category.<br />

We use the 1997 adm<strong>in</strong>istration of the Survey of Inmates <strong>in</strong> State and Federal<br />

Correctional Facilities <strong>to</strong> estimate the <strong>in</strong>carcerated population for each comb<strong>in</strong>ation of<br />

education level, age, race/ethnicity, and gender. We use the 1997 Current Population<br />

Survey <strong>to</strong> estimate general population counts <strong>in</strong> each correspond<strong>in</strong>g subgroup. Because<br />

the Current Population Survey does not <strong>in</strong>clude <strong>in</strong>carcerated persons, we calculate the<br />

probability of <strong>in</strong>carceration as the number of prisoners <strong>in</strong> each population category<br />

divided by the sum of the general population and the number of prisoners for that<br />

category. Per-person prison spend<strong>in</strong>g computed <strong>from</strong> the Sourcebook of Crim<strong>in</strong>al Justice<br />

2003 (Pas<strong>to</strong>re and Maguire, 2007), shown <strong>in</strong> Table 5.2, constitutes the second part of<br />

the two-part model.<br />

Jails<br />

We estimate the probability of be<strong>in</strong>g jailed at the <strong>in</strong>dividual level as the number of<br />

jail <strong>in</strong>mates <strong>in</strong> each demographic category divided by the general population for that<br />

category. We use the 2002 Survey of Inmates of Local Jails <strong>to</strong> estimate the jail population<br />

for each comb<strong>in</strong>ation of education level, age, race/ethnicity, and gender. We<br />

use the 2002 Current Population Survey <strong>to</strong> estimate general population counts <strong>in</strong><br />

each correspond<strong>in</strong>g subgroup. Here, <strong>to</strong>o, because the Current Population Survey does<br />

111

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