Skip to content
Register Sign in Wishlist

Myths and Misunderstandings in White-Collar Crime

£26.99

  • Date Published: August 2023
  • availability: Available
  • format: Paperback
  • isbn: 9781009279796

£ 26.99
Paperback

Add to cart Add to wishlist

Other available formats:
Hardback, eBook


Looking for an inspection copy?

This title is not currently available on inspection

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • Myths and Misunderstandings in White-Collar Crime uses real-world examples to explore the pathologies that hamper our ability to understand and redress white-collar crime. The book argues that misinterpretations about federal white-collar crime impede its lawmaking, enforcement, and discourse, leading it to be overcriminalized and underenforced. Many of these pathologies can be traced to the federal code's failure to subdivide white-collar crimes by degrees of severity, and by the legislature's outsourcing of criminal lawmaking to other institutions. With deep knowledge of the federal code and theories of institutional design and behavioral psychology at her disposal, Miriam Baer offers a step-by-step framework for redressing these problems by paying greater attention to how we write, frame, and lay out our federal criminal code. A clearer, subdivided criminal code, she argues, paves the way for more informed and productive deliberation, and fewer myths and misunderstandings.

    • Identifies and explains pathologies of white-collar crime in regard to lawmaking, enforcement, and data-collection and discourse
    • Analyzes real-world prosecutions and scandals, including Varsity Blues, the Financial Crisis, and many others
    • Draws on a wide array of literatures such as behavioral psychology, deterrence theory, and institutional design
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: August 2023
    • format: Paperback
    • isbn: 9781009279796
    • length: 280 pages
    • dimensions: 228 x 153 x 12 mm
    • weight: 0.34kg
    • availability: Available
  • Table of Contents

    Introduction
    1. Too much or too little? 2. Unknown knowns
    3. Flat laws
    4. Outsourcing
    5. Gap management
    6. Broken discourse
    7. Breaking down the code
    8. Consolidation and grading
    Conclusion
    Acknowledgements
    Index.

  • Author

    Miriam H. Baer, Brooklyn Law School
    Miriam Baer is the Vice Dean and Centennial Professor of Law at Brooklyn Law School, where she has taught criminal law and procedure and white-collar crime for over a decade.

Related Books

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email [email protected]

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×
warning icon

Turn stock notifications on?

You must be signed in to your Cambridge account to turn product stock notifications on or off.

Sign in Create a Cambridge account arrow icon
×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×