Bibliographic record
Abstract
The first essay extends the literature on how social and organizational discrimination in the form of glass ceiling, interact with managerial traits in shaping observed leadership effectiveness. We show that when the population of CEOs is stratified by ethnicity and gender, the colored female CEO emerges as the best performing while the white male CEO is consigned among the worst performers. Additionally, the transition from male to female CEOs seems to follow corporate down- turn and precede an upturn. Furthermore, the upswing is strongest following a transition from white male to colored female CEO. We attribute these observed differences between the groups to the existence of the glass ceiling. Discriminatory selection and promotion process potentially imposes much higher demands on candidates belonging to the discriminated group. Thus, the level of ability of the successful average colored female is much higher than those of the average white male CEO. These results potentially have important implications for both policy and research. \n \nThe second essay examines whether gender discrimination after women are elevated to positions of power impacts financial reporting quality. Specifically, we extend the literature by using role congruity theory and glass cliff hypothesis to examine the earnings management behavior of female chief executive officers (CEOs) conditional on the power they hold. We find that female CEOs do not necessarily reduce earnings management. For CEOs holding less power, women CEOs demonstrate lower earnings management relative to their male counterparts. However with increased power, we find women and male CEOs to exhibit similar earnings management behaviors. Thus, the earnings management behaviors of women CEOs are not solely dictated by their risk-taking and ethical attitudes, but by the existence of glass cliffs which imposes high demands on women CEOs to conform to their gender roles. \n \nThe final essay examines the stock price changes to the firm’s strategic choice towards symbolic and substantive CSR. Our results indicate that stock prices react differently to symbolic and substantive CSR. Symbolic CSR is used as a means to repair reputational damage following a corporate controversy and attracts a positive stock price change consistent with stakeholder wealth maximization theory. In contrast, substantive CSR, undertaken to conform long-term commitment towards CSR is perceived as over-investment by managers in the manifestation of agency leading to a negative stock return-substantive CSR relation. However, no such negative relation between stock returns and substantive CSR is found for a subset of family firms, where the controlling families have a personal interest in the long-term performance of the firm. Overall, the results indicate that the stock market responds to the nature of CSR activities.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".