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Trial Selection and Estimating Damages Equations

Author

Listed:
  • Hylton Keith N.

    (Boston University and Boston University School of Law, Boston, USA)

  • Kim Sanghoon

    (Department of Economics, University at Buffalo, The State University of New York, Buffalo, USA)

Abstract

Many studies have employed regression analysis with data drawn from court opinions. For example, an analyst might use regression analysis to determine the factors that explain the size of damages awards or the factors that determine the probability that the plaintiff will prevail at trial or on appeal. However, the full potential of multiple regression analysis in legal research has not been realized, largely because of the sample selection problem. We propose a method for controlling for sample selection bias using data from court opinions.

Suggested Citation

  • Hylton Keith N. & Kim Sanghoon, 2024. "Trial Selection and Estimating Damages Equations," Review of Law & Economics, De Gruyter, vol. 20(1), pages 1-20.
    • Handle: RePEc:bpj:rlecon:v:20:y:2024:i:1:p:1-20:n:1003
    DOI: 10.1515/rle-2023-0020
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    More about this item

    Keywords

    law and economics; empirical legal studies; damages equations estimation; sample selection bias;
    All these keywords.

    JEL classification:

    • K10 - Law and Economics - - Basic Areas of Law - - - General (Constitutional Law)
    • K13 - Law and Economics - - Basic Areas of Law - - - Tort Law and Product Liability; Forensic Economics
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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