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Record W2514835883

Governance structures, unions, and their relation to CEO pay

2013· article· en· W2514835883 on OpenAlexaboutno aff
Muhammad Umar Boodoo

Bibliographic record

VenueLondon School of Economics and Political Science Research Online (London School of Economics and Political Science) · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceExecutive compensationAccountingRecessionBusinessScrutinyEquity (law)Financial crisisStakeholderAusterityCompensation (psychology)FinanceEconomicsManagementLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Corporate scandals and the advocacy of austerity measures have led to increased board oversight and increased stakeholder outcry over corporate executive compensation packages. This paper, using a sample of firms listed on the S&P/TSX composite index, finds while Boards of Canadian companies have become more ethical and effective, the extra scrutiny has been associated with an increase in the magnitude of the non-equity components of CEO compensation. CEOs have been able to extract higher salaries and bonuses even as their companies steer through the financial and economic crisis. Using a fixed-effects-specification, this paper further finds that companies that tend to be more heavily unionized pay their CEOs less in terms of the equity components of the compensation package. Overall, the paper suggests that CEOs have been recession-proof in that despite the recent stock market difficulties, they have been able to hold more or less similar levels of compensation. Governance structures and unions have not exerted enough pressure to curb the trend

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)0.002
metaresearch head score (Gemma)0.015
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.033
GPT teacher head0.296
Teacher spread0.262 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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