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Record W2065567169 · doi:10.1506/6wx0-6264-m2g7-03p6

Income Tax Accounting Policy Choice: Exposure Draft Responses and the Early Adoption Decision by Canadian Companies*

2007· article· en· W2065567169 on OpenAlexaffvenueabout
Merridee Bujaki, Bruce J. McConomy

Bibliographic record

VenueAccounting Perspectives · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsWilfrid Laurier UniversityCarleton UniversityUniversity of Ottawa
Fundersnot available
KeywordsCorporate governanceAccountingBusinessFinancial statementCorporate taxEarly adopterProduction (economics)EconomicsPublic economicsMonetary economicsFinanceTax reformTax avoidanceMacroeconomicsMarketing

Abstract

fetched live from OpenAlex

ABSTRACT We extend prior literature through a detailed examination of the relationship between lobbying behavior and subsequent accounting standard adoption timing, using changes to a Canadian accounting standard with a prolonged transition period. We develop a model linking lobbying and adoption timing. We test hypotheses based on recontracting costs, information production costs, efforts to manage investor perceptions, and corporate governance practices to assess the ability of these factors to explain corporations' choice of adoption timing. We examine responses to the Income Taxes exposure draft using content analysis to identify trends in lobbying behavior. We evaluate the accounting standard adoption decision for Toronto Stock Exchange (TSE) 300 firms using a LOGIT model. Our findings indicate that early adoption appears to be most prevalent for firms that benefit from improved financial statement performance. In contrast, late adopters tend to be firms that have lobbied standard‐setters regarding the out‐of‐pocket costs of the standard and that rate highly on certain corporate governance measures.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
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 head0.009
GPT teacher head0.245
Teacher spread0.236 · 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

Citations1
Published2007
Admission routes3
Has abstractyes

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