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Record W3138246968 · doi:10.1111/1911-3846.12677

Internal Capital and Investment: Evidence from 2012 Pension Relief*

2021· article· en· W3138246968 on OpenAlexvenueno aff
Thomas R. Kubick, G. Brandon Lockhart, John R. Robinson

Bibliographic record

VenueContemporary Accounting Research · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
FundersClemson University
KeywordsPensionInvestment (military)BusinessFinanceCapital (architecture)Identification (biology)Labour economicsEconomicsPolitical sciencePolitics

Abstract

fetched live from OpenAlex

ABSTRACT We use changes in mandatory pension funding to investigate the relation between internal financing constraints and incremental investment. Pension funding relief enacted in 2012 significantly reduced mandatory employer contributions to defined benefit pension plans. Prior to learning of the pension relief, firms disclosed their expected pension contributions under FAS 132R, which allows us to infer changes in investment plans in response to this unanticipated pension relief. Although our setting is pensions, our inferences contribute to the broader literature on how access to finance impacts the firm. We predict and find that pension relief resulted in increased nonpension investment in the year after enactment for financially constrained firms, and is stronger for constrained firms with greater pension underfunding. Our results are consistent with pension relief providing an important means of funding investment for financially constrained firms. Our identification strategy and results provide an important innovation to the literature examining the effect of financing constraints on investment.

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)0.016
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 score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.093
GPT teacher head0.304
Teacher spread0.211 · 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

Citations6
Published2021
Admission routes1
Has abstractyes

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