The Effects of Exposure to Practice Risk on Tax Professionals' Judgements and Recommendations*
Bibliographic record
Abstract
Abstract Tax professionals are responsible for objectively evaluating tax authorities and evidence relevant to their application and for serving as client advocates. We predict that practice risk — that is, exposure to monetary and nonmonetary costs of making inappropriate recommendations — will affect tax professionals' ability to meet these responsibilities by influencing the manner in which they process information about a tax situation as well as their resulting recommendations for clients. We conduct an experiment in which we manipulate practice risk through client characteristics. We also manipulate provision and nature of outcome information. We find that tax professionals process information differently for clients of different risk levels. Specifically, tax professionals weight negative outcome information more heavily when forming likelihood assessments underlying recommendations for a high‐risk client, relative to a low‐risk client. Further, risk directly affects recommendations in that tax professionals more strongly recommend an aggressive position for a low‐risk client. Differential processing of information for clients with identical transactions but different risk levels may protect the tax professional from the higher expected costs of making inappropriate recommendations to high‐risk clients. However, it indicates that tax professionals do not evaluate evidence objectively for all types of clients.
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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 | 0.007 | 0.093 |
| 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 | 0.001 | 0.002 |
| 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".