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Record W3124455177 · doi:10.1506/6ae8-75yw-8nvw-v8gk

Nonaudit Services and Earnings Conservatism: Is Auditor Independence Impaired?*

2006· article· en· W3124455177 on OpenAlexvenueno aff
Caitlin M. S. Ruddock, Sarah Taylor, Stephen L. Taylor

Bibliographic record

VenueContemporary Accounting Research · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsConservatismEarningsAuditAuditor independenceBusinessIncentiveCorporate governanceAccountingQuality auditMonetary economicsIndependence (probability theory)EconomicsFinanceInternal auditJoint auditMicroeconomicsPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Abstract We examine whether the provision of nonaudit services (NAS) by incumbent auditors is associated with a reduction in the extent to which earnings reflect bad news on a timely basis (that is, news‐based conservatism). Reduced conservatism is expected to occur if relatively high levels of NAS result in reduced auditor independence and, ultimately, lower‐quality auditing. Because client‐specific demand for NAS is expected to vary, our proxy for the auditor‐client economic bond is the extent to which NAS purchases (relative to audit fees) are greater or less than expected. Using several different methods for identifying news‐based conservatism, we consistently find that higher than expected levels of NAS are not associated with reduced conservatism. This result is robust to allowing for endogenous NAS demand, as well as several explicit factors that may be associated with differences in conservatism. Similar conclusions arise from tests that use alternative measures of the economic bond between auditors and their clients, as well as in tests confined to either the Big 6 or non‐Big 6 audit firms. Our results are consistent with factors such as market‐based incentives, the threat of litigation, and alternative governance mechanisms offsetting any expected benefits to the audit firm from reducing its independence. We therefore conclude that recent legislative intervention aimed at restricting the supply of NAS is unlikely to result in increased independence in fact, although independence in appearance may be improved.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.005
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.025
GPT teacher head0.267
Teacher spread0.242 · 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

Citations251
Published2006
Admission routes1
Has abstractyes

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