Does the Mandatory Adoption of IFRS Improve the Association between Accruals and Cash Flows? Evidence from Accounting Estimates
Bibliographic record
Abstract
SYNOPSIS We investigate the effect of mandatory International Financial Reporting Standards (IFRS) adoption in the European Union on the association between accounting estimates and future cash flows, a key concept of accounting quality within the International Accounting Standard Board conceptual framework. We find that the predictive value of accounting estimates improves after IFRS adoption. This improvement is largely driven by specific types of accounting estimates, such as accounts receivable, depreciation, and amortization expense. We also find that the improvement is concentrated in countries with larger differences between pre-IFRS domestic GAAP and IFRS. Our findings suggest that IFRS allow managers to exercise their judgment to provide information about future cash flows through the more subjective/judgmental portion of accounting accruals. JEL Classifications: M16; M49; O52. Data Availability: The data used in this study are from public sources identified in the study.
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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 | 0.021 | 0.154 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".