Written Communications and Taxpayers' Compliance: An Interactional Fairness Perspective
Bibliographic record
Abstract
Written communication is the primary means used by tax authorities to communicate with taxpayers. Prior research shows that the content of written communications by tax authorities can influence taxpayers' compliance by appealing to interactional fairness. Interactional fairness refers to the quality of treatment that individuals receive from an authority figure and has two dimensions, tone and information. In written communications from a tax authority, inadvertently or by design, both tone and information are conveyed. In our study, we examine the impact of both dimensions on taxpayers' compliance through an experiment involving 287 taxpayers. We find an interaction between tone and information, such that compliance is highest in the presence of high information and an authoritative tone. We also find that compliance is positively associated with information. Our findings have practical implications for tax authorities in determining how best to use written communications to encourage taxpayers' compliance.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".