Does industry expertise at engagement partner and audit firm level matter in emerging market? Evidence from Indonesia
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
This study investigates the association of industry specialization at the engagement partner level and audit firm level with aggressive earnings management and modified audit opinion. The study employs a sample of 570 firm-year observations of manufacturing industries on the Indonesia Stock Exchange from 2014 to 2018 using a binary logistic regression model. First, this study finds no evidence of a relationship between industry specialization at the engagement partner level and audit firm level with aggressive discretionary accruals. Furthermore, the author finds evidence of a positive association between industry specialization at the audit firm level and aggressive real earnings management due to high audit quality. Finally, the study finds evidence that industry specialization at audit firm level is likely to issue modified audit opinion. This study contributes to the study of industry specialization at the engagement partner level and audit firm level, which is rarely performed in Indonesia. Policy makers and capital market players might learn some lessons from the audit quality of external auditors with industry specialists as the gatekeeper of the capital market. Moreover, this study has provided a valuable perspective to practitioners, researchers, and policy makers in other emerging markets regarding the quality of industry specialization at the partner and audit firm level.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it