Under U.S. GAAP, firms recognize assets acquired in business combinations at fair value. Similarly, in taxable asset acquisitions firms adjust the tax basis of assets to fair value. Managers can increase the present value of future tax savings by allocating a greater portion of the purchase price to shorter‐lived assets than to goodwill or indefinite‐lived intangibles. However, this tax planning strategy imposes a financial reporting cost because it reduces book income following the acquisition; all else equal, allocations to shorter‐lived depreciable assets increase book depreciation expense, whereas allocations to goodwill and indefinite‐lived intangibles do not increase book amortization expense. We exploit the features of taxable asset acquisitions to investigate trade‐offs between tax and financial reporting incentives. We predict and find greater allocations to depreciable versus intangible assets when managers have strong tax incentives and weak financial reporting incentives. However, we also find that strong financial reporting incentives moderate the effects of strong tax incentives. These findings contribute new evidence to the literature on the importance of nontax costs in tax planning decisions

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.

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