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Vol18, Issue1

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  1. Full Journal of Legal Economics Volume 18 Issue 1
  2. Good Timing? How One Bank Cut Its Link to a $1.2 Billion Ponzi Scheme

    Good Timing? How One Bank Cut Its Link to a $1.2 Billion Ponzi Scheme

    $25.00

    Journal of Legal Economics 18(1): pp. 1-26. Davis and Wilson: "Good Timing? How One Bank Cut Its Link to a $1.2 Billion Ponzi Scheme"

     

    Good Timing? How One Bank Cut Its Link to a $1.2 Billion Ponzi Schemed

    Louis R. Davis and Linus Wilson

     

    *

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  3. Historical Net Discount Rates–An Update Through 2010

    Historical Net Discount Rates–An Update Through 2010

    $25.00

    This is the eighth in a series of features on "Data Points" in the Journal of Legal Economics. This series focuses on empirical data, Internet sites, computer software, and other such resources useful in the practice of forensic economics. If you have an idea for a topic or paper submission relevant to the "Data Points" section, please contact David Tucek (david.tucek@valueeconomics.com)

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  4. More Pitfalls in Determining the Reasonable Royalty in Patent Cases

    More Pitfalls in Determining the Reasonable Royalty in Patent Cases

    $25.00

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    Steven J. Shapiro. 2011. More Pitfalls in Determining the Reasonable Royalty in Patent Cases.

    Journal of Legal Economics 18(1): pp. 109-110.
     

     

    More Pitfalls in Determining the Reasonable Royalty in Patent Cases

     

     Abstract

     

    As a result of a recent federal appellate court decision, the 25 Percent Rule can no longer be used to derive reasonable royalty rates in patent infringement cases. Instead of such generalized rules of thumb, damages experts are now required to rely on information and data specific to the technology that is in dispute.

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  5. Probability Mass Functions in Forensic Economics

    Probability Mass Functions in Forensic Economics

    $25.00

    Gary R. Skoog and James E. Ciecka. 2011. Probability Mass Functions in ForensicEconomics. Journal of Legal Economics 18(1): pp. 111-123.

    “Probability Mass Functions in Forensic Economics”

     

    This note is about the concept of a probability mass function (pmf) and two specific pmfs that have become part of the forensic economics literature. This note has the following objectives. It explains the concept of a pmf within the framework of clear examples. It provides two examples of pmfs within the contexts most likely to be encountered by, and used by, forensic economists. It presents examples of pmfs that are rich enough to illustrate essential ideas but do not get bogged down in unnecessary details. It aims to clearly state what a pmf can and cannot do for forensic economists.

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  6. The Newton-Pepys Problem, Measures of Central Tendency, and Symmetry of a Binomial Distribution

    The Newton-Pepys Problem, Measures of Central Tendency, and Symmetry of a Binomial Distribution

    $25.00

    James E. Ciecka. 2011. The Newton-Pepys Problem, Measures of Central Tendency, and Symmetry of a Binomial Distribution.

    Journal of Legal Economics 18(1): pp. 51-62.

     

    The Newton-Pepys Problem, Measures of Central Tendency, and Symmetry of a Binomial Distribution

     

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  7. Uncertainty Disclosure in Disputed Business Valuations

    Uncertainty Disclosure in Disputed Business Valuations

    $25.00

     

    Journal of Legal Economics 18(1): pp. 27-47.

     

    Uncertainty Disclosure in Disputed Business Valuations

     

     

    Harry Howe and Jeffrey W. Lippitt. 2011. Uncertainty Disclosure in Business Valuations.

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  8. Uses of the American Time Use Survey to Measure Household Services: What Works and Does Not Work

    Uses of the American Time Use Survey to Measure Household Services: What Works and Does Not Work

    $25.00

     

    Thomas R. Ireland. 2011. Uses of the American Time Use Survey to Measure Household Services: What Works and Does Not Work.

    Journal of Legal Economics 18(1): pp. 63-79.  

     

    Uses of the American Time Use Survey to Measure Household Services: What Works and Does Not Work

      

     

     

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