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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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.147
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.077
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 teacher head, 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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