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Record W3122696258 · doi:10.1111/1911-3846.12115

Equity‐Based Compensation of Outside Directors and Corporate Disclosure Quality

2014· article· en· W3122696258 on OpenAlexvenueno aff
Partha Pratim Sengupta, Suning Zhang

Bibliographic record

VenueContemporary Accounting Research · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsEndogeneityEquity (law)Corporate governanceBusinessAccountingInstrumental variableIncentiveEarnings managementExecutive compensationEarningsFinanceEconomicsEconometricsMicroeconomics

Abstract

fetched live from OpenAlex

Abstract We examine the relationship between a firm's disclosure quality and equity‐based compensation of independent members of the board of directors. The dimensions of disclosure quality we focus on are management's earnings guidance and information flowthrough financial analysts. Using both levels and changes specifications, we find the average ratio of equity‐based pay to total pay of independent board members to be positively related to a firm's disclosure quality. Our findings are robust to the inclusion of management's equity‐based compensation, other governance measures, and financial controls, and robust to instrumental variable tests of endogeneity. Furthermore, we find directors’ equity‐based compensation to be negatively associated with the firm's cost of equity capital. Our results are consistent with equity‐based compensation providing incentives to independent directors to push for better disclosure quality.

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)0.010
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.115
GPT teacher head0.343
Teacher spread0.229 · 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

Citations75
Published2014
Admission routes1
Has abstractyes

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