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Record W4403137745 · doi:10.1111/irj.12448

The sectoral consequences of private equity acquisitions: Spillovers in wages and employment

2024· article· en· W4403137745 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

VenueIndustrial Relations Journal · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPrivate Equity and Venture Capital
Canadian institutionsWestern University
Fundersnot available
KeywordsCompetitor analysisWageEquity (law)Labour economicsBusinessPrivate sectorIndustrial relationsEconomicsEconomic growth

Abstract

fetched live from OpenAlex

Abstract Existing Industrial Relations (IR) research suggests that Private Equity (PE) takeovers may have profound effects on the target firm's industrial relations policies and practices, most notably in terms of security of tenure and relative proclivity to engage in redundancies. This study supplements the literature by exploring the effects of PE takeovers on other firms in the same industry. We find that PE takeovers increase the sensitivity of target firms to wage costs; when there is an upward pressure on wages, they respond by shedding jobs to a greater extent than their non‐acquired same‐sector competitors. However, workers in non‐acquired firms were less likely to move to a firm that had been acquired by PE, even if pay was more than sectoral rates. Even if there is a strong emphasis on restraining wage costs in the target firm, PE takeovers do not necessarily lead to the degradation of employment practices elsewhere in the sector; rather, they may provide competitors opportunities to entice talented and skilled employees from the target firm.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score0.649

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.068
GPT teacher head0.302
Teacher spread0.233 · 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