Empirical Evidence on Jurisdictions that Adopt IFRS
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
International Financial Reporting Standards (IFRS) have recently been adopted in a number of jurisdictions, including the European Union. Despite the importance of IFRS in the context of global accounting standards harmonization, little is known regarding what institutional factors influence countries' decisions to voluntarily adopt IFRS. This issue is relevant to standard-setters because a better understanding of the motivations for adoption will enable them to promote IFRS more effectively to countries that currently do not employ IFRS. Consistent with bonding theory, we find that countries with weaker investor protection mechanisms are more likely to adopt IFRS. Our evidence also shows that jurisdictions that are perceived to provide better access to their domestic capital markets are more likely to adopt IFRS. Taken together, our results are consistent with the view that IFRS represent a vehicle through which countries can improve investor protection and make their capital markets more accessible to foreign investors.
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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| 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