Hennessy, C and Chemla, G (2022) Signaling, instrumentation, and CFO decision-making. Journal of Financial Economics, 144 (3). pp. 849-863. ISSN 0304-405X
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.
More Details
Item Type: | Article |
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Subject Areas: | Finance |
Additional Information: |
© 2022 Elsevier. This manuscript version is made available under the CC-BY-NC-NC licence https://creativecommons.org/licenses/by-nc-nd/4/0 |
Date Deposited: | 25 Jan 2022 15:58 |
Date of first compliant deposit: | 25 Jan 2022 |
Subjects: |
Financial management Statistical decision making Mathematical models |
Last Modified: | 13 Sep 2024 18:59 |
URI: | https://lbsresearch.london.edu/id/eprint/2214 |