Audit Probability Modeling
Audit Probability Modeling is a quantitative method within tax compliance research that estimates the likelihood of a taxpayer being selected for a tax audit based on empirical data, behavioral patterns, and risk indicators, distinguishing it from broader audit policy or enforcement frameworks by its focus on predictive statistical modeling.
37
Publications
2.6K
Citations
81
Authors
50
Institutions
Publications per year
2017–2026
6
Parents
37
1–5 of 37
81
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50
University of Arizona
Tucson, United States
3 h-index
9 publications
661 citations

University of Exeter
Exeter, United Kingdom
2 h-index
3 publications
155 citations
Brigham Young University
Provo, United States
2 h-index
8 publications
492 citations

Appalachian State University
Boone, United States
2 h-index
2 publications
104 citations

Tilburg University
Tilburg, The Netherlands
2 h-index
4 publications
102 citations
The University of Texas at Austin
Austin, United States
2 h-index
8 publications
492 citations
Creighton University
Omaha, United States
2 h-index
8 publications
492 citations

Cornell University
Ithaca, United States
1 h-index
1 publications
55 citations
1–8 of 50
Repository · 3 publications · 73 citations
3
h-index
PFR · 3 publications · 128 citations
3
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CAR · 2 publications · 224 citations
2
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NTJ · 2 publications · 128 citations
2
h-index
1 publications · 13 citations
1
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1–5