This paper evaluates the role of accrual accounting in improving firms' production decisions and resource allocation across firms. I introduce two imperfect firm‐performance measures, cash flows and accounting earnings, into a general equilibrium model with heterogeneous firms under imperfect information. The model demonstrates that improvements in measurement systems lead to more informed decisions on the part of firms and ultimately to allocation of greater resources to high‐productivity firms via the product and input markets. Estimated parameter values are consistent with accrual accounting improving managers' information about current productivity by providing a better measure of historical firm performance. Quantitative analysis suggests that introducing accrual‐accounting information on top of cash‐accounting information leads to a 0.5% increase in aggregate U.S. productivity and a 0.7% increase in aggregate U.S. output via improved resource allocation. The corresponding estimates for China and India, as benchmarks for developing countries, are larger: a 1.5% to 2.3% increase in aggregate productivity and a 2.3% to 3.4% increase in aggregate output. I conclude that accrual accounting plays a significant role in determining aggregate productivity via improved resource allocation.

We combine U.S. Census data with SEC enforcement actions to examine employees' outcomes, such as wages and turnover, before, during, and after periods of fraudulent financial reporting. We find that fraud firms’ employees lose about 50% of cumulative annual wages, compared to a matched sample, and the separation rate is much higher after fraud periods. Yet, employment growth at fraud firms is positive during fraud periods; these firms overbuild and hire new, lower-paid employees concurrent with the fraud, unlike firms in distress which tend to contract. When the fraud is revealed, firms shed workers, unwinding this abnormal growth and resulting in most of the negative wage consequences. Wage outcomes are particularly unfavorable in thin labor markets, and lower-wage employees, though unlikely to have perpetrated the fraud, experience more severe wage losses compared to higher-wage employees.

This paper provides early evidence on the integration and impact of generative artificial intelligence (GenAI) in accounting at the accountant and task levels. Using survey data from 277 professional accountants, we document substantial heterogeneity in adoption patterns, perceived benefits, and concerns about GenAI. Using proprietary field data from an AI‐enabled accounting platform serving 79 small‐ and medium‐sized enterprises, we analyze over 200,000 transaction‐level records. We document that GenAI adoption is associated with significant productivity gains and systematic reallocation of effort away from routine data entry toward business communication and quality assurance tasks. GenAI use is also associated with improvements to financial reporting quality, evidenced by more granular ledgers and faster month‐end closing. Examining human–AI interaction, we find that accountants selectively intervene when AI confidence scores are low, consistent with complementarity between professional expertise and AI. A framed field experiment further shows that while AI assistance improves classification accuracy on average, reliance on non‐consensus AI recommendations can increase the risk of error. Overall, our findings highlight both the promise and the risks of GenAI in accounting and suggest that, in practice, AI is most effective as a tool that augments—rather than replaces—professional judgment.

We examine the labor market consequences of the 2020 Regulation S‐K requiring human capital disclosure in 10K filings. Using large‐sample job‐level data and a Generative Large Language Model (GLLM), we observe that public firms subject to the regulation increase their disclosure of diversity, equity, and inclusion (DEI) information in job postings relative to a matched sample of large private firms. The increase in job‐posting disclosure is more pronounced among firms facing greater external pressure to increase their workforce diversity. These findings suggest a shift in demand for diverse candidates by public firms following the regulation. Yet, consistent with short‐term inelastic labor supply, this demand shift lengthens the recruitment period, with noticeable increases in workplace gender diversity emerging one year after the regulation, particularly among firms that demonstrate a credible commitment to DEI. Our study documents how securities regulations can impact labor market practices and underscores the challenges involved in shaping workforce diversity.

Early empirical evidence showed a lack of relative performance evaluation (RPE) for executive pay, a surprise given its theoretical appeal. We hypothesize that executive pay transparency can enhance the monitoring of pay practices and increase RPE use. We examine RPE over the two decades centered on the 2006 executive pay disclosure reforms in the United States, which stakeholders—including shareholders, proxy advisors, and compensation consultants—could use to monitor pay plans. Firms that increase disclosures exhibit a significant increase in RPE after the reforms. To understand why, we examine and document that (i) stakeholder attention to pay practices increases after the reform, (ii) stakeholder attention positively relates to increases in RPE, and (iii) say-on-pay voting confirms shareholders’ preference for RPE. Overall, our findings are consistent with executive pay transparency increasing RPE due to enhanced pay monitoring across stakeholders.

We examine whether financial reporting quality affects worker wages using employer‐employee matched data in the United States. We find that low financial reporting quality is associated with a compensating wage differential—that is, a risk premium—using three distinct approaches while controlling for worker characteristics by (1) regressing wages on firm‐year–level and firm‐level reporting quality, (2) documenting wage changes when workers switch firms, and (3) estimating a structural approach that separates reporting quality from performance‐related volatility. We find evidence consistent with two channels: performance pay and turnover risk, where workers bear risks from noise in performance measurement and unemployment, respectively. To mitigate endogeneity concerns, we show that—after the accounting scandals in 2002 and after the announcements of an internal control weakness (ICW)—former Arthur Andersen clients and ICW firms pay wage premiums to employees, with magnitudes between 0.9% and 2.8% of annual wages.

We study the information content of earnings announcements and its relevance for job search using detailed search data from half a million anonymous job seekers. We find evidence consistent with job seekers initiating job-search activity in response to a prospective employer's earnings announcements. Job seekers search more intensely for employers with media coverage and earnings growth, consistent with the attention and information roles of earnings announcements. We find corroborating evidence about the usefulness of earnings announcements' financial information content to job seekers: (1) a survey experiment indicates that job seekers are more willing to apply to firms when provided with evidence of positive performance; (2) job seekers search for financial information during applications and interviews; and (3) financial information is predictive of future job prospects, including job openings and career growth. Overall, our paper suggests that earnings announcements—among other sources—prompt and guide job seekers' search activities.

We examine how information about the diversity of a potential employer's workforce affects individuals’ job‐seeking behavior. We embed a field experiment in job recommendation emails from a leading career advice agency in the United States. The experimental treatment involves highlighting a diversity metric to jobseekers. Our results indicate that disclosing diversity scores in job postings leads jobseekers to click on firms with higher diversity scores, with such effects varying across jobseeker demographics. A follow‐up survey provides evidence on potential explanations for why jobseekers value diversity information. We then examine how jobseekers’ preferences for diversity relate to disclosure choices under the U.S. SEC Human Capital Disclosure requirement. We find that firms in industries characterized by higher jobseeker responsiveness to diversity information tend to voluntarily disclose diversity metrics in their 10‐Ks under these new disclosure requirements.

We examine the spillover effects of local initial public offerings (IPOs) on new business formation. An IPO in a local area is associated with a 1%–4% increase in new business registrations, and this effect is particularly pronounced in counties facing higher economic uncertainty. New business registrations are significantly influenced by the extent of EDGAR downloads related to the IPO firm's public disclosures and the information in the IPO firm's S‐1 disclosure. The findings highlight the role of IPOs in conveying crucial information through signaling of potential success prospects and additional provision of information through disclosures. A field survey of 503 entrepreneurs further supports these conclusions.