Tax compliance and obedience to authority at home and in the lab: A new experimental approach
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 In most experimental studies of tax evasion, participants are instructed that they may report any amount of income from zero up to the amount they actually earned or received. This amounts to an invitation to gamble. In contrast, real-world tax authorities unambiguously demand compliance. We develop two new settings for conducting tax experiments. Both involve an explicit demand for compliance. Thus, we can determine whether knowing that the experimental authority would regard evasion as wrongful disobedience will influence compliance decisions. We demonstrate that simply telling people that they are required to pay a “participation fee” analogous to a tax produces remarkably high compliance rates and less sensitivity to changes in economic variables than in the earlier experimental literature using invitation-to-gamble language. This suggests that many people pay taxes despite the financial attraction of non-compliance because they are strongly inclined towards obeying authority. Furthermore, we show that giving participants a week to make their reporting decisions at home without an authority figure physically present overcomes the inclination to obey for some people, significantly lowering compliance rates. However, the majority still complies, even after the audit rate falls from 25% to 1%, which would make noncompliance extremely attractive if it were viewed only as a simple matter of risk and expected return.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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