Corporate Payout Policy, Cash Savings, and the Cost of Consistency: Evidence from a Structural Estimation
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Bibliographic record
Abstract
We develop a dynamic structural model to better understand how corporate payout policy is determined in conjunction with other corporate decisions. In a first‐best model, a manager maximizes equity value by choosing the firm's optimal financing, investment, dividends, and cash holdings. By using simulated method of moments, we show that, on average, firms excessively smooth their payout while making corporate savings overly volatile and retaining excess cash. We then extend the model to capture the effect of a manager, who perceives a cost to cutting payouts. Estimating the model, we infer the magnitude of this cost. We find that a managerial preference for consistent payout explains the smooth payout and high volatility of cash holdings.
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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