IDEAS home Printed from https://ideas.repec.org/a/sae/urbstu/v44y2007i13p2567-2585.html
   My bibliography  Save this article

Race, Neighbourhood Context and Perceptions of Injustice by the Police in Cincinnati

Author

Listed:
  • John MacDonald

    (Department of Criminology, University of Pennsylvania, McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104-6286, USA, johnmm@sas.upenn.edu)

  • Robert J. Stokes

    (Department of Culture and Communication, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA, stokes@gmail.com)

  • Greg Ridgeway

    (RAND Corporation, 1776 Main Street, Santa Monica, CA 90407-2138, USA, gregr@rand.org)

  • K. Jack Riley

    (RAND Corporation, 201 North Craig Street, Pittsburgh, PA 15213-1516, USA, jack_riley@rand.org)

Abstract

Research has long identified racial differences in perceptions of criminal injustice. Given that race is confounded with neighbourhood context, it remains unclear the extent to which individual or neighbourhood attributes explain racial differences in these perceptions. This paper advances research on racial differences in perceptions of unjust police practices in the US by relying on a survey of 3000 residents in 53 Cincinnati neighbourhoods. A propensity score weighting approach is used to identify a model by which Whites and Blacks living in similar neighbourhood environments can be compared with each other. The results demonstrate that race remains a significant predictor of perceptions of unjust police practices, even after taking into account the ecological structuring of neighbourhoods and their perceived environmental context. These findings suggest that racial consciousness with regard to perceived injustices by the police is not purely a condition of personal or structural disadvantage. The implications of these findings for police reform efforts to mend minority relations in urban cities are discussed.

Suggested Citation

  • John MacDonald & Robert J. Stokes & Greg Ridgeway & K. Jack Riley, 2007. "Race, Neighbourhood Context and Perceptions of Injustice by the Police in Cincinnati," Urban Studies, Urban Studies Journal Limited, vol. 44(13), pages 2567-2585, December.
  • Handle: RePEc:sae:urbstu:v:44:y:2007:i:13:p:2567-2585
    DOI: 10.1080/00420980701558400
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1080/00420980701558400
    Download Restriction: no

    File URL: https://libkey.io/10.1080/00420980701558400?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Weitzer, Ronald, 2002. "Incidents of police misconduct and public opinion," Journal of Criminal Justice, Elsevier, vol. 30(5), pages 397-408.
    2. Heejung Bang & James M. Robins, 2005. "Doubly Robust Estimation in Missing Data and Causal Inference Models," Biometrics, The International Biometric Society, vol. 61(4), pages 962-973, December.
    3. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Patricia Y. Warren, 2010. "The Continuing Significance of Race: An Analysis Across Two Levels of Policing," Social Science Quarterly, Southwestern Social Science Association, vol. 91(4), pages 1025-1042, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li Liang & Greene Tom, 2013. "A Weighting Analogue to Pair Matching in Propensity Score Analysis," The International Journal of Biostatistics, De Gruyter, vol. 9(2), pages 215-234, July.
    2. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    3. Hugo Bodory & Martin Huber & Lukáš Lafférs, 2022. "Evaluating (weighted) dynamic treatment effects by double machine learning [Identification of causal effects using instrumental variables]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 628-648.
    4. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    5. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    6. Michael Lechner & Conny Wunsch, 2009. "Are Training Programs More Effective When Unemployment Is High?," Journal of Labor Economics, University of Chicago Press, vol. 27(4), pages 653-692, October.
    7. Farrell, Max H., 2015. "Robust inference on average treatment effects with possibly more covariates than observations," Journal of Econometrics, Elsevier, vol. 189(1), pages 1-23.
    8. Girma, Sourafel & Görg, Holger & Stepanok, Ignat, 2020. "Subsidies, spillovers and exports," Economics Letters, Elsevier, vol. 186(C).
    9. Kiran Tomlinson & Johan Ugander & Austin R. Benson, 2021. "Choice Set Confounding in Discrete Choice," Papers 2105.07959, arXiv.org, revised Aug 2021.
    10. Antonis Adam & Sofia Tsarsitalidou, 2024. "Be my guest: the effect of foreign policy visits to the USA on FDI," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 160(2), pages 455-480, May.
    11. William Rhodes, 2010. "Heterogeneous Treatment Effects: What Does a Regression Estimate?," Evaluation Review, , vol. 34(4), pages 334-361, August.
    12. Verena Lauber & Johanna Storck, 2016. "Helping with the Kids? How Family-Friendly Workplaces Affect Parental Well-Being and Behavior," SOEPpapers on Multidisciplinary Panel Data Research 883, DIW Berlin, The German Socio-Economic Panel (SOEP).
    13. Huang, Wei & Li, Fan & Liao, Xiaowei & Hu, Pingping, 2018. "More money, better performance? The effects of student loans and need-based grants in China's higher education," China Economic Review, Elsevier, vol. 51(C), pages 208-227.
    14. Daniel W. Gingerich & Virginia Oliveros, 2018. "Police Violence and the Underreporting of Crime," Economics and Politics, Wiley Blackwell, vol. 30(1), pages 78-105, March.
    15. Martin Huber, 2014. "Treatment Evaluation in the Presence of Sample Selection," Econometric Reviews, Taylor & Francis Journals, vol. 33(8), pages 869-905, November.
    16. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
    17. Shu Yang & Yunshu Zhang, 2023. "Multiply robust matching estimators of average and quantile treatment effects," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 235-265, March.
    18. Lars Thiel, 2015. "Leave the Drama on the Stage: The Effect of Cultural Participation on Health," SOEPpapers on Multidisciplinary Panel Data Research 767, DIW Berlin, The German Socio-Economic Panel (SOEP).
    19. Matthew Blackwell & Anton Strezhnev, 2022. "Telescope matching for reducing model dependence in the estimation of the effects of time‐varying treatments: An application to negative advertising," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 377-399, January.
    20. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2010. "How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score," IZA Discussion Papers 5268, Institute of Labor Economics (IZA).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:urbstu:v:44:y:2007:i:13:p:2567-2585. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: http://www.gla.ac.uk/departments/urbanstudiesjournal .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.