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Record W2174975680 · doi:10.2308/jata.2002.24.2.35

The Influence of Firm Maturation on Tax-Induced Financing and Investment Decisions

2002· article· en· W2174975680 on OpenAlexaff
Jeffrey Pittman

Bibliographic record

VenueJournal of the American Taxation Association · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDebtEconomicsCapital structureMonetary economicsAsset (computer security)Investment (military)Empirical evidenceFinanceTax shieldPublic capitalCapital (architecture)Panel dataInvestment decisionsExternal financingTax reformMicroeconomicsPublic economicsState income taxPublic investmentEconometricsFiscal policy

Abstract

fetched live from OpenAlex

Empirical evidence that taxes influence firms' capital structures has been elusive. Scholes and Wolfson (1989) argue that refinancing costs that accumulate with age affect the time-series variation in firms' tax-induced financing and investment policies. Specifically, they predict that as capital structures gradually become more constrained over time, firms' financing decisions will become less sensitive to their marginal tax rates; and that as firms are increasingly impeded from adjusting their capital structures, they will resort to relying more on investmentrelated tax shields. This study examines panel data spanning firms' first nine public years that provides strong, robust evidence that the evolution in debt and asset tax shields is consistent with Scholes and Wolfson's (1989) predictions. In separate tests, age is measured from a firm's initial public offering and from its incorporation to consider whether the duration of their public and private existence, respectively, affects tax shield choice.

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)0.001
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.018
GPT teacher head0.222
Teacher spread0.204 · 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.

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

Citations11
Published2002
Admission routes1
Has abstractyes

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