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The Effects of Sanction Intensity on Criminal Conduct - JDAI Helpdesk

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Table 2.16: Instrumental Variables Model: Prevalence <str<strong>on</strong>g>of</str<strong>on</strong>g> Recidivism (Drug Offenses, 2-<br />

Year Follow-Up)<br />

First Stage<br />

Treatment Take-Up<br />

Reduced Form (ITT)<br />

Post-RA Drug Off.<br />

Observati<strong>on</strong>s = 1,559 Observati<strong>on</strong>s = 1,559<br />

R 2 = .662 R 2 = .103<br />

Adjusted R 2 = .658 Adjusted R 2 = .093<br />

Instruments b (S.E.) b (S.E.)<br />

Assigned LIS .803 (.088)*** -.035 (.085)<br />

Assigned LIS*West -.077 (.035)* .009 (.034)<br />

Assigned LIS*Male .011 (.032) .037 (.030)<br />

Assigned LIS*White -.021 (.037) .015 (.036)<br />

Assigned LIS*Age -.000 (.001) .000 (.001)<br />

Assigned LIS*Income20 .024 (.057) .018 (.055)<br />

Assigned LIS*Income30 .082 (.060) -.008 (.058)<br />

Assigned LIS*Income40 .021 (.066) .013 (.064)<br />

Assigned LIS*Prior <str<strong>on</strong>g>of</str<strong>on</strong>g>fending .193 (.092)* .022 (.089)<br />

Exogenous<br />

M<strong>on</strong>ths in jail post-RA -.013 (.002)*** .026 (.002)***<br />

West probati<strong>on</strong> regi<strong>on</strong> .056 (.025)* -.017 (.024)<br />

Male .009 (.023) .028 (.022)<br />

White .010 (.027) .004 (.026)<br />

Age at RA .001 (.001) -.002 (.001)*<br />

Income $20,000-$29,999 -.001 (.040) -.063 (.038)<br />

Income $30,000-$39,999 -.013 (.042) -.060 (.040)<br />

Income $40,000 or more -.002 (.047) -.104 (.045)*<br />

M<strong>on</strong>thly <str<strong>on</strong>g>of</str<strong>on</strong>g>fending rate 1 year<br />

pre-RA (drug <str<strong>on</strong>g>of</str<strong>on</strong>g>fense)<br />

-.025 (.054) .023 (.052)<br />

C<strong>on</strong>stant -.028 (.063) .205 (.061)***<br />

Sec<strong>on</strong>d-Stage Instrumental Number <str<strong>on</strong>g>of</str<strong>on</strong>g> observati<strong>on</strong>s = 1,559<br />

Variables Regressi<strong>on</strong> Wald χ 2 (10 d.f.) = 176.88<br />

Pr > χ 2 = .000<br />

New Charged Drug Offense R 2 = .102<br />

Term b S. E z p<br />

Predicted treatment take-up -.010 .018 -.60 .550<br />

M<strong>on</strong>ths in jail post-RA .026 .002 11.67 .000<br />

C<strong>on</strong>stant .191 .043 4.50 .000<br />

C<strong>on</strong>trolling for regi<strong>on</strong>, gender, race, age, SES and <str<strong>on</strong>g>of</str<strong>on</strong>g>fending history.<br />

124

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