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Even the errors discrimenate: How the split-population model of criminal recidivism makes justice even less colorblind

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  • Brendan Cushing-Daniels

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  • Brendan Cushing-Daniels, 2005. "Even the errors discrimenate: How the split-population model of criminal recidivism makes justice even less colorblind," The Review of Black Political Economy, Springer;National Economic Association, vol. 33(1), pages 25-39, September.
    • Handle: RePEc:spr:blkpoe:v:33:y:2005:i:1:p:25-39
    DOI: 10.1007/s12114-005-1029-3
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    References listed on IDEAS

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    1. Cole, Rebel A. & Gunther, Jeffery W., 1995. "Separating the likelihood and timing of bank failure," Journal of Banking & Finance, Elsevier, vol. 19(6), pages 1073-1089, September.
    2. Swaim, Paul & Podgursky, Michael, 1994. "Female Labor Supply Following Displacement: A Split-Population Model of Labor Force Participation and Job Search," Journal of Labor Economics, University of Chicago Press, vol. 12(4), pages 640-656, October.
    3. Schmidt, Peter & Witte, Ann Dryden, 1989. "Predicting criminal recidivism using 'split population' survival time models," Journal of Econometrics, Elsevier, vol. 40(1), pages 141-159, January.
    4. Decker, Scott H. & Salert, Barbara, 1987. "Selective incapacitation: A note on its impact on minorities," Journal of Criminal Justice, Elsevier, vol. 15(4), pages 287-299.
    5. Caulkins, Jonathan & Cohen, Jacqueline & Gorr, Wilpen & Wei, Jifa, 1996. "Predicting criminal recidivism: A comparison of neural network models with statistical methods," Journal of Criminal Justice, Elsevier, vol. 24(3), pages 227-240.
    6. Douglas, Stratford & Hariharan, Govind, 1994. "The hazard of starting smoking: Estimates from a split population duration model," Journal of Health Economics, Elsevier, vol. 13(2), pages 213-230, July.
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    Cited by:

    1. Kiron Chatterjee & Kang-Rae Ma, 2009. "Time taken for residents to adopt a new public transport service: examining heterogeneity through duration modelling," Transportation, Springer, vol. 36(1), pages 1-25, January.

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