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Record W4383815995 · doi:10.2308/horizons-2020-108

Auditor Materiality Threshold and Audit Quality—Evidence from the Revised ISA 700 in the United Kingdom

2023· article· en· W4383815995 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAccounting Horizons · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsYork University
FundersSingapore Management UniversityNational Natural Science Foundation of China
KeywordsMateriality (auditing)AccountingAccrualAuditQuality auditAudit evidenceBusinessEarnings managementIncentiveEarningsAuditor's reportJoint auditEconomicsInternal audit

Abstract

fetched live from OpenAlex

SYNOPSIS Using a broad sample of U.K. firms that are required to disclose auditor materiality thresholds under the International Standards on Auditing (United Kingdom and Ireland) 700, we examine whether the auditor materiality threshold is associated with audit quality. We document that a lower materiality threshold is associated with higher audit quality, as measured by lower absolute discretionary accruals, higher accruals quality, and a lower propensity to just meet or beat analysts’ earnings expectations. We also find some evidence that the negative association between the materiality threshold and audit quality is attenuated when the audit committee is more effective and when the auditor is more economically dependent on the client, and the negative association is more pronounced when management has a stronger incentive to manage earnings. Overall, our study extends the limited studies on large-sample archival evidence on the implications of audit materiality thresholds on audit outcomes. Data Availability: Data are available from the public sources cited in the text. JEL Classifications: M40; M41; M42.

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 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)0.005
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.053
GPT teacher head0.286
Teacher spread0.233 · 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