Examining the Effects of the Tax Cuts and Jobs Act on Executive Compensation*
Bibliographic record
Abstract
ABSTRACT As part of the Tax Cuts and Jobs Act (TCJA), the US Congress repealed a long‐standing exception that allowed companies to deduct executives' qualified performance‐based compensation in excess of $1 million. The purpose of this study is to examine whether Congress achieved its stated objective of reversing a shift in executive compensation away from cash compensation and toward performance pay, which Congress believed led executives to focus on short‐term results rather than the long‐term success of the company. Across a battery of tests, including a difference‐in‐differences design that exploits the staggered time‐series implementation of the deduction limit, we find evidence compatible with the new deduction limit having no effect on executives' salary, performance pay or total compensation, inconsistent with Congressional intent. Our results suggest that taxes are not a first‐order effect of executive pay and that tax regulation could be relatively ineffective at curbing executive compensation.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".