MétaCan
Menu
Back to cohort
Record W3117419759 · doi:10.2308/jiar-2020-068

The Market for Audit Services: The Role of Market Power

2020· article· en· W3117419759 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

VenueJournal of International Accounting Research · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsUniversity of TorontoSimon Fraser UniversityUniversity of British Columbia
Fundersnot available
KeywordsAuditMarket powerBusinessCompetition (biology)Market shareJoint auditAccountingIndustrial organizationEconomicsFinanceInternal auditMicroeconomicsMonopoly

Abstract

fetched live from OpenAlex

ABSTRACT The market for audit services has been the subject of extensive academic research since the 1970s. The prevailing view is that audit markets are characterized by tiers of suppliers (Big 4 versus non-Big 4, and industry specialists versus non-specialists) where the upper tier suppliers produce and sell a systematically higher level of assurance, while competition among suppliers within tiers is essentially perfect and a uniform price prevails within the submarkets. We discuss three papers that challenge this orthodoxy. These papers argue and find that the price of an audit is essentially unique to each (auditor, client) pair and that this price depends on both audit firm size and client size. Furthermore, audit firm size is linked with the firm's capital investments, which enhance auditor efficiency and market power. We conclude that audit markets are atomistic and that local market power is an important determinant of audit prices and audit fees.

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)0.006
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.566
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.279
Teacher spread0.263 · 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