Michigan Study of Life After Prison, Administrative Data on 2003 Cohort of Michigan Parolees

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for...

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Bibliographic Details
Main Author: Morenoff, Jeffrey D. (Author)
Contributors: Harding, David J. (Contributor)
Format: Electronic Research Data
Language:English
Published: [Erscheinungsort nicht ermittelbar] [Verlag nicht ermittelbar] 2019
In:Year: 2019
Online Access: Volltext (kostenfrei)
Check availability: HBZ Gateway
Keywords:

MARC

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520 |a These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of files available with this collection and consult the investigator(s) if further information is needed. The Michigan Study of Life After Prison examined the association between neighborhood context and outcomes related to employment and recidivism among the cohort of former prisoners released on parole from Michigan state prisons in one calendar year (2003), controlling for pre-incarceration neighborhood context, local labor market conditions, and a large set of individual characteristics. The primary goals of this study were to answer two questions: (1) "Are ex-offenders who are released to more disadvantaged neighborhoods (those with greater poverty, unemployment, residential turnover, etc.) more likely to recidivate?" (2) "Are ex-offenders who are released to more disadvantaged neighborhoods less likely to gain stable employment?" This research sought to supplement available literature on prisoner reentry and criminal desistance, which the researchers posit existing literature has largely ignored the role that neighborhoods play in shaping the recidivism and employment of returning prisoners. The 31 data files included as part of this collection are as follows: <strong>Cleaned Data Files:</strong> <list type = "bulleted"> <li><strong>casenotearrestsreps1-4_ICPSR-EDITED.dta</strong>: 4,932 Cases, 12 Variables</li> <li><strong>casenotearrestsreps5-8_ICPSR-EDITED.dta</strong>: 5,302 Cases, 13 Variables</li> <li><strong>casenotearrestsrep9_ICPSR-EDITED.dta</strong>: 2,321 Cases, 13 Variables</li> <li><strong>casenoteemploymentreps1-4_ICPSR-EDITED.dta</strong>: 4,871 Cases, 28 Variables</li> <li><strong>casenoteemploymentreps5-8_ICPSR-EDITED.dta</strong>: 4,754 Cases, 23 Variables</li> <li><strong>casenoteemploymentrep9_ICPSR-EDITED.dta</strong>: 2,610 Cases, 23 Variables</li> <li><strong>cleanedcasenoteaddressesreps1-8_ICPSR-EDITED.dta</strong>: 50,207 Cases, 72 Variables</li> <li><strong>cleanedcasenoteaddressesrep9_ICPSR-EDITED.dta</strong>: 10,309 Cases, 69 Variables</li> <li><strong>preprisonaddress_all_ICPSR-EDITED.dta</strong>: 5,183 Cases, 30 Variables</li> <li><strong>preprisonaddress_all_rep9_ICPSR-EDITED.dta</strong>: 1,017 Cases, 63 Variables</li> <li><strong>postprisads_ICPSR-EDITED.dta</strong>: 11,064 Cases, 41 Variables</li> <li><strong>cleaned-demographics-population_ICPSR-EDITED.dta</strong>: 11,064 Cases, 57 Variables</li> <li><strong>simplecrimhistory.dta</strong>: 11,064 Cases, 4 Variables</li> <li><strong>popSAhistory.dta</strong>: 11,064 Cases, 8 Variables</li> <li><strong>deathdates_ICPSR-EDITED.dta</strong>: 308 Cases, 3 Variables</li> <li><strong>popprisonenterdates.dta</strong>: 11,064 Cases, 7 Variables</li> <li><strong>discharge dates.dta</strong>: 7,369 Cases, 5 Variables</li> <li><strong>parole and release dates for pop.dta</strong>: 11,064 cases, 3 Variables</li> <li><strong>mdoc_recidivism_measures.dta</strong>: 11,064 Cases, 6 Variables</li> <li><strong>recidivism dates from transits.dta</strong>: 11,064 Cases, 8 Variables</li> <li><strong>recidivism from bir.dta</strong>: 11,064 Cases, 3 Variables</li> <li><strong>sample marker.dta</strong>: 3,689 Cases, 2 Variables</li> <li><strong>samplereps.dta</strong>: 3,689 Cases, 2 Variables</li> <li><strong>tta_rsid_rep.dta</strong>: 1,363 Cases, 2 Variables</li></list> <strong>Contextual Data Files:</strong> <list type = "bulleted"> <li><strong>Complete.data.file.dta</strong>: 2,757 Cases, 1,055 Variables</li> <li><strong>countyemployment.dta</strong>: 10,956 Cases, 6 Variables</li> <li><strong>places.dta</strong>: 5,004 Cases, 5 Variables</li> <li><strong>TractDataInterpolated-long.dta</strong>: 57,036 Cases, 50 Variables</li> <li><strong>TractDataInterpolated-wide.dta</strong>: 2,716 Cases, 1,009 Variables</li> <li><strong>tractscales2000.dta</strong>: 2,716 Cases, 49 Variables</li> <li><strong>urbanicity + density.dta</strong>: 2,716 Cases, 9 Variables</li></list> Demographic variables included: gender, race, educational attainment, age, employment, and marital status. 
540 |a ICPSR Terms of Use 
650 4 |a convictions (law) 
650 4 |a Employment 
650 4 |a labor markets 
650 4 |a neighborhood characteristics 
650 4 |a offenders sentencing 
650 4 |a parole violation 
650 4 |a parolees 
650 4 |a Prisoner Reentry 
650 4 |a Recidivism 
650 4 |a Recidivism prediction 
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