Income Tax Accounting Policy Choice: Exposure Draft Responses and the Early Adoption Decision by Canadian Companies*
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".