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Signaling, instrumentation, and CFO decision-making

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  • Hennessy, Christopher A.
  • Chemla, Gilles

Abstract

Building parable economies embedding econometricians, we view alternative estimators (Instrumental variables, fuzzy regression discontinuity, natural experiments, OLS, event studies) from the perspective of privately informed decision-makers, e.g., CFOs. Instrumental variable estimates can be misleading since randomization through observable instruments eliminates signal content arising from discretion. If the goal is informing discretionary decisions, rather than predicting outcomes after forced/mistaken actions, instrumentation is problematic, whereas OLS or event studies can be sufficient. The analysis shows that the utility of alternative estimators hinges upon often neglected assumptions about agent/econometrician information sets, as distinct from exclusion restrictions. We recommend parable economy estimation before real-world IV estimation.

Suggested Citation

  • Hennessy, Christopher A. & Chemla, Gilles, 2022. "Signaling, instrumentation, and CFO decision-making," Journal of Financial Economics, Elsevier, vol. 144(3), pages 849-863.
  • Handle: RePEc:eee:jfinec:v:144:y:2022:i:3:p:849-863
    DOI: 10.1016/j.jfineco.2021.07.014
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    More about this item

    Keywords

    Selection; IV; RD; Experiments; Causal effect;
    All these keywords.

    JEL classification:

    • G3 - Financial Economics - - Corporate Finance and Governance
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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