A Comparison of Quantitative and Qualitative Disclosures of Tax Settlements to Assess Their Favorability

Andrew M. Bauer & Kenneth J. Klassen

Journal of the American Taxation Association2025https://doi.org/10.2308/jata-2022-027article
AJG 3ABDC A
Weight
0.50

Abstract

Tax footnotes, particularly disclosures of unrecognized tax benefit (UTB) accruals, contain significant information. To aid large-sample empirical research, and assess reliable measures of the favorability of tax settlements, we compare three potential proxies of footnote information: two derived from quantitative information and one derived from qualitative information. To validate the proxies, we use hand-coded disclosures about the nature of UTB settlements and an empirical model of the revaluation of prior, open tax positions at the time of settlement. We find that the textual analysis method to infer settlement favorability from qualitative text in tax footnotes performs well in both validations. Conversely, the tax rate reconciliation proxy is discriminant only in the first validation, whereas the accrual of interest and penalties proxy relates to settlement favorability only in the second validation. Overall, the qualitative proxy is most reliable and represents a new and useful measure for the empirical tax literature. Data Availability: Data are available from the sources cited in the text. JEL Classifications: C89; D81; H25; M48.

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https://doi.org/https://doi.org/10.2308/jata-2022-027

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@article{andrew2025,
  title        = {{A Comparison of Quantitative and Qualitative Disclosures of Tax Settlements to Assess Their Favorability}},
  author       = {Andrew M. Bauer & Kenneth J. Klassen},
  journal      = {Journal of the American Taxation Association},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.2308/jata-2022-027},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.