The Impact of Mandated Disclosure on Performance‐Based CEO Compensation*
Bibliographic record
Abstract
Abstract Regulators argue that mandated compensation disclosure improves corporate governance by permitting shareholders to enjoin boards of directors to reward executives in ways that are consistent with shareholder value creation. We posit that mandated compensation disclosure, or the absence thereof, has a greater impact on the CEO compensation practices of widely held firms than of closely held firms. More specifically, we expect that, in the absence of mandated disclosure, CEO compensation is likely to be less performance‐contingent among widely held firms than among closely held firms. Moreover, we also expect that the advent of mandated disclosure leads widely held firms to increase the extent to which CEO compensation is performance‐contingent, much more so than closely held firms would. We use a unique data base resulting from the Ontario Securities Commission amendment of regulation 638 in October 1993. For the first time, this amendment required firms listed on the Toronto Stock Exchange to provide detailed executive compensation data similar to those required by the Securities and Exchange Commission, for the current year as well as retroactively for the previous two years. We find that, in the absence of mandated disclosure, CEO cash compensation in widely held firms is less performance‐contingent than in closely held firms. With the imposition of mandated disclosure, performance‐contingent cash compensation increases more in widely held firms than in closely held firms. Results with respect to stock option grants are mixed, with both closely held and widely held firms reacting to the advent of mandated disclosure.
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 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 | 0.008 | 0.086 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".