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Record W2736261878 · doi:10.1177/0019793917719885

Do Highly Unionized Companies Compensate Their CEOs Less in Periods of Financial Distress? Evidence from Canada

2017· article· en· W2736261878 on OpenAlexaboutno aff
Muhammad Umar Boodoo

Bibliographic record

VenueIndustrial and Labor Relations Review · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsFinancial distressSalaryExecutive compensationPensionEquity (law)Labour economicsBusinessFinanceStock (firearms)Compensation (psychology)Stock optionsEconomicsAccountingCorporate governanceMarket economyFinancial system

Abstract

fetched live from OpenAlex

In this article, the author studies the strategic interaction between employee stakeholders, in particular labor unions, and top management, and he evaluates the effect of the two parties’ inherent competitive rent-seeking behavior on CEO pay. Using a panel of firms listed on the S&P/TSX Composite Index, the author shows that CEO compensation withstood the financial crisis (2008–2011) despite lower and even negative corporate performance. Further, highly unionized companies were associated with higher CEO pay in terms of non-equity elements such as salary and pension allocations. The presence of unions had no observed effect in reducing bonuses, stock options, and restricted stock units. These findings have implications for the debate on income inequality and the power of unions to bring about change.

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)0.009
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 score0.019
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.077
GPT teacher head0.257
Teacher spread0.179 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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