Strategic Tax and Financial Reporting Decisions: Theory and Evidence*
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
Abstract This paper examines the effect of book‐tax differences on the probability that a transaction is audited and the probability that additional taxes are collected. It constructs a stylized model in which the taxpayer reports both financial accounting income and taxable income. The government observes both reports before deciding whether to conduct an audit. The analysis of the equilibrium yields two hypotheses. First, the probability that the government will audit a transaction is higher if the transaction generates a positive book‐tax difference (e.g., an expenditure that is deducted for tax purposes but capitalized for financial reporting purposes) than if the transaction generates no book‐tax difference. Second, conditional on being selected for audit, transactions with and without book‐tax differences are equally likely to have detected understatements of tax liability. These hypotheses are tested using Internal Revenue Service (IRS) data from the Coordinated Examination Program. The empirical tests are consistent with the predictions of the strategic tax compliance model.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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