Do Firms Use Restructuring Charge Reversals to Meet Earnings Targets?
Why this work is in the frame
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Bibliographic record
Abstract
Many firms that take restructuring charges reverse a portion of those restructuring charge accruals in a later quarter. These reversals increase net income, often substantially. In this study, I investigate whether restructuring charge reversals are associated with incentives to meet or exceed analysts' forecasts, avoid earnings declines relative to prior-year levels, and avoid losses. I examine both the decision to record a reversal and the amount of the reversal, using a sample of 121 reversals recorded between 1990 and 1999. The results suggest that some firms record reversals to beat analysts' forecasts and to avoid reporting net losses. There is also some evidence that firms record reversals to avoid earnings declines. Overall, the results are consistent with firms using restructuring accrual reversals to manage earnings.
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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 | 0.002 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.006 |
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 it