We use large detailed data on individual auditor employment to examine the antecedents of turnover decisions and subsequent career paths of diverse individuals in public accounting – namely women and racial minority groups (Asian, Black, and Hispanic). Consistent with the principle of...

We fine-tune a large language model to classify accounting topics within financial disclosures. This allows for the efficient and accurate classification of accounting topics in large volumes of out-of-sample unlabeled text. Specifically, our model leverages innovations in supervised machine...

Limited availability of human capital data on the internal audit function (IAF) has constrained research on this topic. This study overcomes certain data limitations by using LinkedIn data from Revelio Labs. Using longitudinal data on individual IAF employees, we document that IAF experience,...

We contribute to the literature on auditor’s task-specific expertise by examining the role of auditor experience in mergers and acquisitions (M&A), a complicated and increasingly prevalent corporate event that can give rise to misreporting. We find that in industries with more complex...

We propose that firm complexity is best measured with accounting disclosures. Accounting is the “language of business,” and accounting disclosures of most business activities are mandated. Therefore, relying on accounting disclosures is the best approach for consistently capturing a wide...

The COVID-19 pandemic introduced unprecedented challenges to the audits of public companies. In response, the SEC made available a unique one-time 45-day extension to file the audited annual report. This study examines the likelihood and consequences of late filings during COVID-19. We leverage...

We examine the relation between accounting reporting complexity and analysts’ performance and whether analysts’ qualifications, experience, and expertise in specific financial domains help them more effectively process complex information. We document an inverse relation between complexity...

This study investigates the determinants, textual properties, and consequences of the newly disclosed U.S. critical audit matters (CAMs). We find that complexity, financial reporting issues, and the magnitude of accounts that require high degrees of judgment significantly determine the quantity...