Independent audit committee characteristics and real earnings management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose – The purpose of this study is to investigate the effectiveness of independent audit committees in constraining real earnings management. This study examines the relationships between audit committee characteristics and real activities manipulation. Design/methodology/approach – US firms with stronger incentives to undertake real earnings management are selected as a sample. Regressions are run for the empirical analyses. Findings – It is found that audit committee members' additional directorships are positively associated with real earnings management measured by abnormal cash flows from operations, abnormal discretionary expenses and abnormal production costs, suggesting that audit committees with high additional directorships are less effective in constraining real earnings management. The findings are consistent with the notion that audit committee members' busyness impairs their monitoring effectiveness. Originality/value – This study extends the extant research on audit committees' oversight of real earnings management by using refined research design and updated data. This study also provides further evidence on how audit committee members' additional directorships affect their ability to oversee both accrual and real earnings management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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