Bibliographic record
Abstract
In this paper, I extend Ohlson's 1995 firm market valuation model to incorporate personal taxes: the taxes on dividends and the taxes on capital gains. Without personal taxes, firm market value can be expressed as the present value of future benefits received by the shareholders (dividends, in this case). With personal taxes, the benefits received by the shareholders should be classified into three categories (due to their different tax treatments): dividends, share repurchases, and new share issues (i.e., contributed capital). The extended model shows the effects of personal taxation on firm market valuation: retained earnings are valued less than contributed stocks, both dividends taxes and capital gains taxes affect retained earnings valuation and firm market value, and firms choose cash distribution methods (paying dividends and repurchasing shares) to increase their retained earnings valuation, therefore increasing their market value. An empirical test using a sample from the Disclosure Select Canada and Financial Post Card data bases for the years 1995-98 supports these personal tax effects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.066 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.004 | 0.009 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".