Bibliographic record
Abstract
Evidence suggests that the negotiated wage for a unionized employee group is an increasing function of the firm’s prior profitability. As a result, managers may have an incentive to strategically signal a negative outlook to their unionized workers in order to improve the firm’s bargaining position. I assess the strategy of missing mean consensus analysts’ earnings estimates as a way for managers to signal a negative outlook to their unionized employees. I find that unionized firms are more likely to miss estimates than their nonunionized counterparts. Additionally, this propensity to miss estimates is increasing in both the firm’s percentage of unionized employees and multiunionism, but is unaffected by the timing of the signal relative to contract renewal. Finally, the increased propensity to miss estimates appears to be driven by both differences in expectations management and earnings management across the two groups. Specifically, managers of unionized firms take less action than their nonunionized counterparts to guide forecasts downward when estimates are too high, and they take more action to deflate earnings when expectations are too low. Taken together, the findings suggest that managers do seek to project a negative outlook to their unions, and that this tendency is increasing in the union’s negotiation strength.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 teacher head, 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".