The Impact of Ownership Characteristics and Gender on Earnings Management: Indonesian Companies
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
Earnings management is a behavior performed by management to show good performance to principals. This effort creates information bias in the study of agency theory, which in turn increases information asymmetry. In Indonesia, the average company has a family ownership structure. Therefore, this study aims to examine the effect of family ownership characteristics and gender on earnings management. This study includes gender diversity in the board of commissioners and board of directors. This research uses the non-financial companies’ data in Indonesian Capital Market. Furthermore, the data were analyzed using multiple regression based on ordinary least squares. Research results show that the proportion of females in both board of commissioners and board of directors, as well as company size contribute significantly to earnings management, whereas, family ownership, ROA, and leverage do not have a significant impact. This research provides a practical contribution to the study of the composition of the board of commissioners and directors regarding earnings management actions for owners, investors and other stakeholders.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it