Employment Discrimination Lawsuits and Corporate Stock Prices
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this study, we examine the financial impact of employment discrimination lawsuit verdicts and settlements on publicly traded firms subject to lawsuits between 1997 and 2008. Using data on 174 sex and race discrimination lawsuits involving 107 publicly traded companies, we assess the effect of lawsuit verdicts and settlements on changes in defendants’ daily stock returns. Findings indicate that verdicts and settlements have an immediate negative impact on defendants’ stock prices. In addition, the negative effect is more pronounced among cases that involve monetary payouts, cases in which the U.S. Equal Employment Opportunity Commission is a plaintiff and cases that involve sex as opposed to race or national origin discrimination. These results demonstrate the extent to which legal rulings introduce a market penalty for employers and have implications for the study of law, organizations, and market responses to discriminatory behavior.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it