IDEAS home Printed from https://ideas.repec.org/a/sae/evarev/v8y1984i5p692-704.html
   My bibliography  Save this article

Pretrial Release in Federal Courts

Author

Listed:
  • William Rhodes

    (Washington, D. C.)

  • Shelley Matsuba

    (Washington, D. C.)

Abstract

Pretrial release is the legal process by which defendants who are accused of criminal offenses are released from detention pending trial. Evaluators are frequently concerned with the qualitative and quantuative importance of defendant and offense variables in the determination of which defendants gain release and, for those who are released, which defendants will engage in pretrial misconduct. This article presents a method for deriving unbiased parameter estimates, using maximum likelihood techniques m a structural equation paradigm, for the release decision and indicates how these techniques can be extended to the analysis of pretrial misconduct.

Suggested Citation

  • William Rhodes & Shelley Matsuba, 1984. "Pretrial Release in Federal Courts," Evaluation Review, , vol. 8(5), pages 692-704, October.
    • Handle: RePEc:sae:evarev:v:8:y:1984:i:5:p:692-704
    DOI: 10.1177/0193841X8400800506
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0193841X8400800506
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0193841X8400800506?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. Amemiya, Takeshi, 1973. "Regression Analysis when the Dependent Variable is Truncated Normal," Econometrica, Econometric Society, vol. 41(6), pages 997-1016, November.
    2. William M. Landes, 1974. "Legality and Reality: Some Evidence on Criminal Procedure," NBER Working Papers 0040, National Bureau of Economic Research, Inc.
    3. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    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. Rama Lionel Ngenzebuke, 2016. "Female say on income and child outcomes: Evidence from Nigeria," WIDER Working Paper Series 134, World Institute for Development Economic Research (UNU-WIDER).
    2. Simons, Andrew M., 2022. "What is the optimal locus of control for social assistance programs? Evidence from the Productive Safety Net Program in Ethiopia," Journal of Development Economics, Elsevier, vol. 158(C).
    3. Golan, Amos & Judge, George & Perloff, Jeffrey, 1997. "Estimation and inference with censored and ordered multinomial response data," Journal of Econometrics, Elsevier, vol. 79(1), pages 23-51, July.
    4. Charlier, Dorothée, 2015. "Energy efficiency investments in the context of split incentives among French households," Energy Policy, Elsevier, vol. 87(C), pages 465-479.
    5. Masuda, Kazuto, 2021. "Trade Policy and the Marshall–Lerner Condition: Application of the Tobit Model," SocArXiv njzk3, Center for Open Science.
    6. Goodwin, Barry K., 1992. "An Analysis Of Factors Associated With Consumers' Use Of Grocery Coupons," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(1), pages 1-11, July.
    7. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
    8. Bloom, David E. & Killingsworth, Mark R., 1985. "Correcting for truncation bias caused by a latent truncation variable," Journal of Econometrics, Elsevier, vol. 27(1), pages 131-135, January.
    9. Randall A. Lewis & James B. McDonald, 2014. "Partially Adaptive Estimation of the Censored Regression Model," Econometric Reviews, Taylor & Francis Journals, vol. 33(7), pages 732-750, October.
    10. Wang, Lan, 2007. "A simple nonparametric test for diagnosing nonlinearity in Tobit median regression model," Statistics & Probability Letters, Elsevier, vol. 77(10), pages 1034-1042, June.
    11. He, Hua & Huang, Chung L. & Houston, Jack E., 1995. "U.S. Household Consumption Of Fresh Fruits," Journal of Food Distribution Research, Food Distribution Research Society, vol. 26(2), pages 1-11, September.
    12. Thomas Bassetti & Filippo Pavesi, 2017. "Electoral Contributions And The Cost Of Unpopularity," Economic Inquiry, Western Economic Association International, vol. 55(4), pages 1771-1791, October.
    13. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Robust Estimation of Wage Dispersion with Censored Data: An Application to Occupational Earnings Risk and Risk Attitudes," De Economist, Springer, vol. 168(4), pages 519-540, December.
    14. Manuel Arellano & Olympia Bover, 1990. "La econometría de datos de panel," Investigaciones Economicas, Fundación SEPI, vol. 14(1), pages 3-45, January.
    15. Mervyn A. King & Louis Dicks-Mireaux, 1981. "Asset Holdings and the Life Cycle," NBER Working Papers 0614, National Bureau of Economic Research, Inc.
    16. Toseef Azid & Muhammad Aslam & Muhammad Omer Chaudhary, 2001. "Poverty, Female Labour Force Participation, and Cottage Industry: A Case Study of Cloth Embroidery in Rural Multan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 40(4), pages 1105-1118.
    17. Fabiosa, Jacinto F., 2006. "Growing Demand for Animal-Protein-Source Products in Indonesia: Trade Implications," 2006 Annual meeting, July 23-26, Long Beach, CA 21417, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Arango, Luis E. & Cardona-Sosa, Lina & Pedraza-Jiménez, Nataly, 2021. "The use of credit cards among low- and middle-income individuals in Colombia and the channels of monetary policy," Economic Modelling, Elsevier, vol. 94(C), pages 150-169.
    19. Roy, Abhik & Walters, Peter G. P. & Luk, Sherriff T. K., 2001. "Chinese puzzles and paradoxes: conducting business research in China," Journal of Business Research, Elsevier, vol. 52(2), pages 203-210, May.
    20. Yuan, Ke-Hai, 2009. "Normal distribution based pseudo ML for missing data: With applications to mean and covariance structure analysis," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 1900-1918, October.

    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:evarev:v:8:y:1984:i:5:p:692-704. 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: .

    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.