Advanced Search
MyIDEAS: Login

Does Mandatory Diversion to Drug Treatment Eliminate Racial Disparities in the Incarceration of Drug Offenders? An Examination of California’s Proposition 36

Contents:

Author Info

  • Nancy Nicosia
  • John M. MacDonald
  • Rosalie Liccardo Pacula
Registered author(s):

    Abstract

    Like other states, minorities are disproportionately represented in the California’s state prison system, particularly for drug offenses. Unlike other states, California has had a policy of mandatory diversion to drug treatment for non-violent drug offenders since mid-2001 (Proposition 36). Using a rich dataset including current and prior criminal charges from 1995 through 2005 in California, we examine whether disparities in court dispositions to prison and drug treatment between White and Blacks male drug offenders are explained by observable case and criminal justice characteristics. We estimate the extent to which remaining observable disparities are affected by Proposition 36. We find that Black and White male drug offenders differ considerably on covariates, but by weighting on the inverse of a nonparametric estimate of the propensity score, we can compare Blacks to Whites that are on average equivalent on covariates. Unadjusted disparities in the likelihood of being sentenced to prison are substantially reduced by propensity score weighting. Proposition 36 reduces the likelihood of prison overall, but not differentially for Blacks. By contrast, racial disparity in diversion to drug treatment is not reduced by propensity score weighting. There is some evidence that Proposition 36 increased diversion for Blacks.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.nber.org/papers/w18518.pdf
    Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Bibliographic Info

    Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 18518.

    as in new window
    Length:
    Date of creation: Nov 2012
    Date of revision:
    Handle: RePEc:nbr:nberwo:18518

    Note: HE LE
    Contact details of provider:
    Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
    Phone: 617-868-3900
    Email:
    Web page: http://www.nber.org
    More information through EDIRC

    Related research

    Keywords:

    Find related papers by JEL classification:

    This paper has been announced in the following NEP Reports:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Heckman, James J. & Todd, Petra E., 2009. "A Note on Adapting Propensity Score Matching and Selection Models to Choice Based Samples," IZA Discussion Papers 4304, Institute for the Study of Labor (IZA).
    2. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, 07.
    3. Busso, Matias & DiNardo, John & McCrary, Justin, 2009. "New Evidence on the Finite Sample Properties of Propensity Score Matching and Reweighting Estimators," IZA Discussion Papers 3998, Institute for the Study of Labor (IZA).
    4. Ridgeway, Greg & MacDonald, John M., 2009. "Doubly Robust Internal Benchmarking and False Discovery Rates for Detecting Racial Bias in Police Stops," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 661-668.
    5. Harold Pollack & Peter Reuter & Eric L. Sevigny, 2011. "If Drug Treatment Works So Well, Why Are So Many Drug Users in Prison?," NBER Working Papers 16731, National Bureau of Economic Research, Inc.
    6. Mustard, David B, 2001. "Racial, Ethnic, and Gender Disparities in Sentencing: Evidence from the U.S. Federal Courts," Journal of Law and Economics, University of Chicago Press, vol. 44(1), pages 285-314, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:18518. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.