Managerial sentiment and short‐term operating decisions: Evidence from terrorist attacks
Bibliographic record
Abstract
Abstract Using terrorist attacks and mass shootings as an exogenous source driving psychological changes in managerial sentiment, we explore the causal effect of managerial sentiment on firms' short‐term operating decisions. Employing cost stickiness to measure short‐term operating decisions on resource allocation and cost control, we find that firms located in the attacked metropolitan areas experience a significant decline in the degree of cost stickiness. We further find that the effect is more pronounced for firms that have inexperienced and less confident CEOs, when attack events are more salient, and when managers have lower prior exposure to negative events in their personal experiences. We also explore inventory management as another form of short‐term operating decisions and find that firms exhibit reduced asymmetric inventory management and a lower level of abnormal inventory holdings in postattack periods. Overall, our study suggests that shocks caused by exogenous negative events affect managerial sentiment, which in turn shapes managers' short‐term operating decisions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".