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Tales Left Tails Tell: Addressing Left-Side Truncation in Strategy Research

Author

Listed:
  • Richard A. Hunt

    (Division of Economics and Business, Colorado School of Mines)

  • Daniel A. Lerner

    (Deusto Business School, Universidad Deusto)

Abstract

This study takes up the issue of left-side truncation (LST) in strategy research. Since reliable data on early-stage and failed firms are often unavailable for analysis, empirical findings are often derived from observations involving survivors. But, what if the missing data bear little resemblance to that which is available? Leveraging a dataset that comprehensively captures an entire industry, including firms that commonly pass unobserved, we demonstrate how LST materially affects empirical results and theoretical acuity. Our analysis suggests that the tools typically used to address LST have flaws that hinder their applicability to many of key questions posed by strategy scholars. In response, and to facilitate more thorough reporting of truncation effects, we present an effective, easy-to-use Truncation Factor.

Suggested Citation

  • Richard A. Hunt & Daniel A. Lerner, 2017. "Tales Left Tails Tell: Addressing Left-Side Truncation in Strategy Research," Working Papers 2017-04, Colorado School of Mines, Division of Economics and Business.
  • Handle: RePEc:mns:wpaper:wp201704
    as

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    File URL: http://econbus-papers.mines.edu/working-papers/wp201704.pdf
    File Function: First version, 2017
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    References listed on IDEAS

    as
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    4. Yang, Tiantian & Aldrich, Howard E., 2012. "Out of sight but not out of mind: Why failure to account for left truncation biases research on failure rates," Journal of Business Venturing, Elsevier, vol. 27(4), pages 477-492.
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