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Record W2016257586 · doi:10.1111/1911-3838.12012

Has <scp>SOX</scp> Enhanced Non–Big 4 Auditors' Ability to Deal with Client Pressure?

2013· article· en· W2016257586 on OpenAlexaffvenue
Jennifer L. Kao, Yan Li, Wenjun Zhang

Bibliographic record

VenueAccounting Perspectives · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsDalhousie UniversityUniversity of Alberta
Fundersnot available
KeywordsAuditAccountingBusinessAccrualQuality auditWalk-through testObjectivity (philosophy)Sarbanes–Oxley ActInternal auditJoint audit

Abstract

fetched live from OpenAlex

Abstract We investigate whether non–Big 4 auditors have enhanced their ability to resist client pressure over accrual reporting following the Sarbanes‐Oxley Act ( SOX ). Regressing abnormal accruals on proxies for economic bonding, we find that changes in the association, defined as (Post–Pre), are significantly negative, implying an improvement in auditor independence after SOX . Among non–Big 4 auditors, only Tier 3 auditors compromised reporting objectivity before SOX , but neither Tier 2 nor Tier 3 auditors yielded to client pressure after SOX . Evidence that these two groups of non–Big 4 auditors differ in the way they cope with client pressure in a loose regulatory regime highlights the importance of assessing the efficacy of SOX separately for subsets of auditors and contributes to an understanding of the underresearched, but inherently important, segment of the audit market served by non–Big 4 auditors. Further analysis indicates that the low pre‐ SOX audit quality observed in the full sample is driven by non– PCAOB registrants.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.003

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 head0.008
GPT teacher head0.206
Teacher spread0.199 · 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.

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

Citations7
Published2013
Admission routes2
Has abstractyes

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