Fatherhood and Managerial Style
Bibliographic record
Abstract
Motivated by a growing literature in the social sciences suggesting that the transition to fatherhood has a profound effect on men’s values, we study how the wages of employees change after a male chief executive officer (CEO) has children, using comprehensive panel data on the employees, CEOs, and families of CEOs in all but the smallest Danish firms between 1996 and 2006. We find that (a) a male CEO generally pays his employees less generously after fathering a child, (b) the birth of a daughter has a less negative influence on wages than does the birth of a son and has a positive influence if the daughter is the CEO’s first, and (c) the wages of female employees are less adversely affected than are those of male employees and positively affected by the CEO’s first child of either gender. We also find that male CEOs pay themselves more after fathering a child, especially after fathering a son. These results are consistent with a desire by the CEO to husband more resources for his family after fathering a child and the psychological priming of the CEO’s generosity after the birth of his first daughter and specifically toward women after the birth of his first child of either gender.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".