The Local Spillover Effect of Corporate Accounting Misconduct: Evidence from City Crime Rates*
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 study documents a spillover effect of accounting fraud by showing that after the revelation of accounting misconduct, there is an increase in financially motivated neighborhood crime (robberies, thefts, etc.) in the cities where these misconduct firms are located. We find that more visible accounting frauds (e.g., greater media attention and larger stock price declines) are more strongly associated with a future increase in financially motivated neighborhood crime. We also find that the association between fraud revelation and increased future financially motivated crime is strongest when local job markets are shallower and where local income inequality is high, consistent with adverse shocks from fraud putting pressure on local communities. Combined, our study provides evidence that the societal ramifications of corporate accounting misconduct extend beyond adversely impacting a firm's capital providers and industry peers to negatively influence the daily life of the residents in the firm's local community.
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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 | 0.012 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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