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ChatGPT, a language-learning model chatbot, has garnered considerable attention for its ability to respond to users’ questions. Using data from 14 countries and 186 institutions, we compare ChatGPT and student performance for 28,085 questions from accounting assessments and textbook test banks. As of January 2023, ChatGPT provides correct answers for 56.5 percent of questions and partially correct answers for an additional 9.4 percent of questions. When considering point values for questions, students significantly outperform ChatGPT with a 76.7 percent average on assessments compared to 47.5 percent for ChatGPT if no partial credit is awarded and 56.5 percent if partial credit is awarded. Still, ChatGPT performs better than the student average for 15.8 percent of assessments when we include partial credit. We provide evidence of how ChatGPT performs on different question types, accounting topics, class levels, open/closed assessments, and test bank questions. We also discuss implications for accounting education and research.

Top management team (TMT) members have been shown to influence tax avoidance; however, prior literature has not identified whether the intrapersonal diversity of TMT functional backgrounds leads to higher levels of tax avoidance. To study this relationship, we utilize TMT intrapersonal functional diversity, which captures the average heterogeneity of the TMT members' work experience. The skills associated with intrapersonal functional diversity may allow managers to better understand and communicate with various parties related to firm tax policies, thereby facilitating tax avoidance. Overall, we find that TMTs with higher levels of intrapersonal functional diversity achieve lower cash effective tax rates and that these TMTs do not rely on tax strategies that pose high risk.

This study investigates how pre‐grant patent disclosures required by the American Inventors Protection Act (AIPA) affect the value of innovation. The accelerated disclosures instituted by the AIPA may benefit innovative firms by either reducing duplicative R&D projects or by facilitating prompt, beneficial knowledge spillovers among firms. However, early innovation disclosures may result in proprietary costs and reduce competitive advantages. Our results indicate that when firms engage in quality innovation as captured by patent citations or originality, they have more efficient innovation output after the passage of the AIPA, and their innovation output is more strongly associated with future earnings.

This paper studies recent changes to innocent spouse law instituted by Rev. Proc. 2013-34. This rule change explicitly addresses issues with innocent spouse rulings, while also making innocent spouse law more flexible. I use legal and empirical methodologies to study 81 innocent spouse cases, and find that the recent rule changes have significantly modified the impact of various factors. Changes to some factors were stated objectives of the rule change; for example, abuse now has an increased impact on innocent spouse rulings. However, some changes appear to be side effects of the revised law's increased flexibility. Specifically, the health factor was unchanged by Rev. Proc. 2013-34, but appears to have gained prominence due to greater flexibility in innocent spouse law. Overall, my findings show that judges can now decide a case based on various criteria, rather than being bound primarily by taxpayer knowledge—as was the case pre-Rev. Proc. 2013-34.