IDEAS home Printed from https://ideas.repec.org/a/eee/jcjust/v93y2024ics0047235224000709.html
   My bibliography  Save this article

Sensitivity for thee, but not for me: The role of social status as a conduit for white-collar prison adjustment

Author

Listed:
  • Logan, Matthew W.
  • Morgan, Mark A.
  • Long, Joshua S.
  • Chio, Hei Lam

Abstract

The special sensitivity hypothesis asserts that the atypical background and personal characteristics of white-collar offenders may make them particularly susceptible to the “pains of imprisonment” while incarcerated. Using a national data set of U.S. prisoners, we evaluated symptoms of negative affect, misconduct, and various institutional outcomes among two distinct groups of white-collar offenders: those defined by their crime of exploiting specialized access for profit and those further defined by their status (i.e., employment, finances, and education). Findings indicated that the status-based offenders reported feeling significantly less worthless and that they were significantly more likely to have held a work assignment. However, the offense-based group was significantly less likely to have participated in educational programming and exhibited significantly worse negative affect—specifically nervousness, restlessness, and depression—suggesting they had greater difficulty adapting to prison life compared to others. We conclude by examining the implications for criminological theory and criminal justice policy.

Suggested Citation

  • Logan, Matthew W. & Morgan, Mark A. & Long, Joshua S. & Chio, Hei Lam, 2024. "Sensitivity for thee, but not for me: The role of social status as a conduit for white-collar prison adjustment," Journal of Criminal Justice, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:jcjust:v:93:y:2024:i:c:s0047235224000709
    DOI: 10.1016/j.jcrimjus.2024.102221
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0047235224000709
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jcrimjus.2024.102221?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Long, Joshua & Logan, Matthew W. & Morgan, Mark A., 2021. "Are white-collar prisoners special? Prison adaptation and the special sensitivity hypothesis," Journal of Criminal Justice, Elsevier, vol. 77(C).
    2. Benson, Michael L. & Cullen, Francis T., 1988. "The special sensitivity of white-collar offenders to prison: A critique and research agenda," Journal of Criminal Justice, Elsevier, vol. 16(3), pages 207-215.
    3. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    4. David C. May & Brian K. Payne, 2018. "Do white-collar offenders find prison more punitive than property offenders," Journal of Financial Crime, Emerald Group Publishing Limited, vol. 25(1), pages 230-243, January.
    5. Logan, Matthew W. & Morgan, Mark A. & Long, Joshua S. & Hazelwood, Andrea & Bacigalupo, James, 2022. "More similar than different? Examining prison infractions and recidivism among female and male white-collar offenders," Journal of Criminal Justice, Elsevier, vol. 82(C).
    6. Holtfreter, Kristy & Van Slyke, Shanna & Bratton, Jason & Gertz, Marc, 2008. "Public perceptions of white-collar crime and punishment," Journal of Criminal Justice, Elsevier, vol. 36(1), pages 50-60, March.
    Full references (including those not matched with items on IDEAS)

    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. Logan, Matthew W. & Morgan, Mark A. & Long, Joshua S. & Hazelwood, Andrea & Bacigalupo, James, 2022. "More similar than different? Examining prison infractions and recidivism among female and male white-collar offenders," Journal of Criminal Justice, Elsevier, vol. 82(C).
    2. Mikel Bedayo & Gabriel Jiménez & José-Luis Peydró & Raquel Vegas, 2020. "Screening and Loan Origination Time: Lending Standards, Loan Defaults and Bank Failures," Working Papers 1215, Barcelona School of Economics.
    3. Allais, Olivier & Leroy, Pascal & Mink, Julia, 2020. "Changes in food purchases at retirement in France," Food Policy, Elsevier, vol. 90(C).
    4. Clément de Chaisemartin & Jaime Ramirez-Cuellar, 2024. "At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?," American Economic Journal: Applied Economics, American Economic Association, vol. 16(1), pages 193-212, January.
    5. Tal Gross & Timothy J. Layton & Daniel Prinz, 2022. "The Liquidity Sensitivity of Healthcare Consumption: Evidence from Social Security Payments," American Economic Review: Insights, American Economic Association, vol. 4(2), pages 175-190, June.
    6. Timothy J. Bartik & Nathan Sotherland, 2019. "Local Job Multipliers in the United States: Variation with Local Characteristics and with High-Tech Shocks," Upjohn Working Papers 19-301, W.E. Upjohn Institute for Employment Research.
    7. Francis,David C. & Kubinec ,Robert, 2022. "Beyond Political Connections : A Measurement Model Approach to Estimating Firm-levelPolitical Influence in 41 Economies," Policy Research Working Paper Series 10119, The World Bank.
    8. Jaschke Philipp & Sulin Sardoschau & Marco Tabellini, 2021. "Scared Straight? Threat and Assimilation of Refugees in Germany," RF Berlin - CReAM Discussion Paper Series 2136, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    9. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
    10. Luis Alvarez & Bruno Ferman, 2020. "Inference in Difference-in-Differences with Few Treated Units and Spatial Correlation," Papers 2006.16997, arXiv.org, revised Apr 2023.
    11. Leive, Adam, 2018. "Dying to win? Olympic Gold medals and longevity," Journal of Health Economics, Elsevier, vol. 61(C), pages 193-204.
    12. A‐Sung Hong, 2024. "Beyond the finish line: How losing in patent race drives post‐race innovation," Strategic Management Journal, Wiley Blackwell, vol. 45(5), pages 968-993, May.
    13. Sauermann, Jan, 2015. "Worker Reciprocity and the Returns to Training: Evidence from a Field Experiment," IZA Discussion Papers 9179, Institute of Labor Economics (IZA).
    14. Hanan G. Jacoby & Ghazala Mansuri, 2018. "Governing the Commons? Water and Power in Pakistan’s Indus Basin," Working Papers id:12933, eSocialSciences.
    15. Carpenter, Christopher S. & Gonzales, Gilbert & McKay, Tara & Sansone, Dario, 2020. "Effects of the Affordable Care Act Dependent Coverage Mandate on Health Insurance Coverage for Individuals in Same-Sex Couples," IZA Discussion Papers 13119, Institute of Labor Economics (IZA).
    16. Joo, Hailey Hayeon & Lee, Jungmin, 2018. "Encountering female politicians," Journal of Economic Behavior & Organization, Elsevier, vol. 151(C), pages 88-122.
    17. El Ghoul, Sadok & Guedhami, Omrane & Mansi, Sattar & Wang, He (Helen), 2023. "Economic policy uncertainty, institutional environments, and corporate cash holdings," Research in International Business and Finance, Elsevier, vol. 65(C).
    18. Ahsan, Md Nazmul & Maharaj, Riddhi, 2018. "Parental human capital and child health at birth in India," Economics & Human Biology, Elsevier, vol. 30(C), pages 130-149.
    19. J. Michelle Brock & Ralph De Haas, 2023. "Discriminatory Lending: Evidence from Bankers in the Lab," American Economic Journal: Applied Economics, American Economic Association, vol. 15(2), pages 31-68, April.
    20. Wooldridge, Jeffrey M., 2023. "What is a standard error? (And how should we compute it?)," Journal of Econometrics, Elsevier, vol. 237(2).

    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:eee:jcjust:v:93:y:2024:i:c:s0047235224000709. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jcrimjus .

    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.