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Record W1930990701 · doi:10.1506/9b5d-hllp-bbqe-8n3f

Independence in Appearance and in Fact: An Experimental Investigation*

2003· article· en· W1930990701 on OpenAlexvenueno aff
Nicholas Dopuch, Ronald King, Rachel Schwartz

Bibliographic record

VenueContemporary Accounting Research · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsAuditor independenceAccountingIndependence (probability theory)AuditBusinessCommissionProxy (statistics)IncentiveExternal auditorMonetary economicsActuarial scienceEconomicsFinanceInternal auditMicroeconomicsJoint audit

Abstract

fetched live from OpenAlex

Abstract In this study, we use experimental markets to assess the effect of the Security and Exchange Commission's (SEC's) new independence rule on investors' perceptions of independence, investors' payoff distributions, and market prices. The new rule requires client firms to disclose in their annual proxy statements the amount of nonaudit fees paid to their auditors. The new disclosure is intended to inform investors of auditors' incentives to compromise their independence. Our experimental design is a 2 3 between‐subjects design, where we control the presence (unbiased reports) or absence of auditor independence in fact (biased reports). While independence in fact was not immediately observable to investors, we controlled for independence in appearance by varying the public disclosure of the extent of nonaudit services provided by the auditor to the client. In one market setting, investors were not given any information about whether the auditor provided such nonaudit services; in a second setting, investors were explicitly informed that the auditor did not provide any non‐audit services; and in a third setting, investors were told that the auditor provided nonaudit services that could be perceived to have an adverse effect on independence in fact. We found that disclosures of nonaudit services reduced the accuracy of investors' beliefs of auditors' independence in fact when independence in appearance was inconsistent with independence in fact. This then caused prices of assets to deviate more from their economic predictions (lower market efficiency) in the inconsistent settings relative to the no‐disclosure and consistent settings. Thus, disclosures of fees for nonaudit services could reduce the efficiency of capital markets if such disclosures result in investors forming inaccurate beliefs of auditor independence in fact ‐ that is, auditors appear independent but they are not independent in fact, or vice versa. The latter is the maintained position of the American Institute of Certified Public Accountants (AICPA), which argued against the new rule. Further research is needed to assess the degree of correspondence between independence in fact and independence in appearance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.078
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.078
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0040.004
Open science0.0030.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0110.001

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 head0.056
GPT teacher head0.308
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), 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

Citations174
Published2003
Admission routes1
Has abstractyes

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