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Mandatory IFRS adoption in Europe and the contractual usefulness of accounting information in executive compensation

2012· article· en· W3125529072 on OpenAlexaff
Neslihan Ozkan, Zvi Singer, Haifeng You

Bibliographic record

VenueBristol Research (University of Bristol) · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsMcGill University
Fundersnot available
KeywordsAccountingExecutive compensationBusinessAccounting information systemExecutive summaryCompensation (psychology)Corporate governanceFinancePsychology

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.004
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.232
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations143
Published2012
Admission routes1
Has abstractyes

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