Mandatory IFRS adoption in Europe and the contractual usefulness of accounting information in executive compensation
Bibliographic record
Abstract
We examine how the mandatory adoption of International Financial Reporting Standards (IFRS) in continental Europe affects the contractual usefulness of accounting information in executive compensation, as reflected in pay-performance sensitivity (PPS) and relative performance evaluation (RPE). The empirical evidence indicates a weak increase in accounting-based PPS in the post-adoption period, primarily driven by countries with large differences between IFRS and their previously adopted local accounting standards. We also document a significant increase in accounting-based RPE using foreign peers after the adoption. Additional analysis shows that the increase in RPE is greater for firms with more foreign sales, and for those with lower availability of domestic peers of comparable size. The overall results are consistent with the compensation committees in those countries perceiving earnings after IFRS adoption to be of higher quality and comparability. Our paper highlights an important benefit of IFRS largely ignored by the literature, that is, the higher earnings quality and comparability brought by the adoption of IFRS facilitate executive compensation contracting.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".