Knowledge that Transforms

We examine whether public financial statement information is incrementally useful in forecasting confidential taxable income. More precise firm-level taxable income forecasts can improve policymakers' modeling of the tax system and the analysis of proposed changes in corporate tax law, while more accurate macro-level forecasts of corporate taxable income can improve estimates of corporate tax revenues, a significant component of the federal budget. We find the addition of financial statement information improves firm- and industry-level estimates of future taxable income by primarily providing more timely information, but also through accruals. Our results suggest that macroeconomic forecasts of taxable income may be further improved by the aggregation of firm-level forecasts that are generated using financial statement information. Importantly, our results are driven primarily by tax information in financial statements. We also contribute to the research on the information content of financial statement information for forecasting economic activity.

Distinguishing high-performing employees imposes choices on managers: Is recognition most effectively delivered publicly or privately? If delivered publicly, what setting is best? This paper broadens the accounting literature on the implications of these decisions. Via experiment, I examine how the social bond between recognized employees and those observing the recognition influences the effect of recognition visibility on employee behavior. I find that with weak social bonds, public recognition (versus private) does not result in more beneficial employee behavior. However, when social bonds are strong, employees provide greater pre-recognition effort and respond more positively to public recognition than to private recognition. Overall, my study supports the extensive use of public recognition in practice and helps clarify the collective results from prior accounting studies. My findings also have implications for implementing recognition programs—suggesting managers should consider employee relationships when deciding how and where to recognize their employees.

We provide evidence that dividends signal sustainable earnings generated by assets-in-place for firms with weak investment opportunities. In the cross-section, both dividend levels and changes contain more earnings information among firms with weaker investment opportunities. Intertemporally, when aggregate investment opportunities in the economy are worse, dividend changes convey more earnings information. In contrast, dividends have a more negative association with investment spending for firms with strong growth options, as funding investment is a higher priority for those firms. Collectively, our findings suggest that dividends serve as a counter-signal, whereby additional information about investment opportunities give rise to signaling that is non-monotonic in firm quality.

We examine whether proprietary costs drive R&D-active firms' choice of private loan structure. We find that R&D-active firms are more likely to choose single-lender over multi-lender private loan financing. This is consistent with the theory that high-ability entrepreneurs protect their proprietary knowledge by communicating it to a single lender while disclosing generic and less sensitive information to the public. This propensity, however, significantly decreases after the enactment of the American Inventor's Protection Act (AIPA), which accelerated public disclosure of firms' patent details in filings with the U.S. Patent and Trademark Office. This accelerated public disclosure potentially caused R&D information to spill over to rivals, increasing the proprietary costs of single-lender borrowers. AIPA enactment also increased the spread on R&D-active firms' single-lender loans. These findings contribute to the voluntary disclosure and financing choice literature by linking R&D-active firms' choice of single-lender financing to the proprietary costs of public disclosure. Data Availability: From public sources identified in the study.

Cross-border alliances expose firms to heightened risks, posing different governance and control challenges than domestic alliances. We examine the impact of differences in alliance partner countries' institutional environments. Analysis of survey data supports our contention that cross-border alliances involve a greater reliance on formal controls, particularly when firms collaborate with partners in countries with a weaker institutional environment. These relations exist regardless of governance structure (i.e., equity or non-equity alliance) that prior research considers a critical choice for addressing cross-border alliance risks. Additional analyses show that four subdimensions of institutional characteristics (voice and accountability, regulatory quality, rule of law, and control of corruption) and one subdimension of formal controls (behavior controls) are the main drivers in the association between institutional distance and reliance on formal controls. These findings demonstrate the distinct impact of institutional environment as a country-level determinant of alliance control choices. Data Availability: Due to confidentiality agreements with respondents, the data cannot be released publicly.

We predict and find that regulated firms' mandatory disclosures crowd out unregulated firms' voluntary disclosures. Consistent with information spillovers from regulated to unregulated firms, we document that unregulated firms reduce their own disclosures in the presence of regulated firms' disclosures. We further find that unregulated firms reduce their disclosures more the greater the strength of the regulatory information spillovers. Our findings suggest that a substitutive relationship between regulated and unregulated firms' disclosures attenuates the effect of disclosure regulation on the market-wide information environment.

Recent evidence suggests that investors struggle to process complex financial disclosures. Relative to equity and public debt investors, banks have unique advantages in acquiring information and can impose contractual terms to mitigate information frictions. We investigate whether financial statement complexity is associated with firms' reliance on bank financing and the terms of bank loans. We focus on two aspects of complexity: the length of financial reports and the complexity of financial reporting rules. We document that both aspects of complexity are positively associated with firms' reliance on bank financing (i.e., level of debt and new financing). This result is consistent with banks' superior information processing capabilities. Next, we document that banks ameliorate information frictions using loan contractual terms that depend on the source of complexity. Overall, banks are an attractive source of financing for firms with complex disclosures, but banks also increase screening and monitoring for relatively complex borrowers. Data Availability: Data used in this study are available from public sources identified in the study.

We find that corporate credit rating changes have an effect on firms' voluntary disclosure behavior that is independent of the information they convey about firm fundamentals. Our analyses exploit two separate quasi-experimental settings that generate either exogenous credit rating downgrades or credit rating upgrades (i.e., credit rating label changes). We find evidence of a negative relation between the direction of the credit rating label change and the provision of voluntary disclosure in both settings—firms respond to exogenous downgrades by increasing voluntary disclosure and to exogenous upgrades by decreasing voluntary disclosure. The effects we document are attributable to the regulatory role rather than the information role of credit ratings. Overall, our analyses indicate that credit rating agencies as gatekeepers influence firms' provision of voluntary disclosure. Data Availability: Data are available from the public sources cited in the text.

Reactions to earnings calls are sensitive to subtle features of managers' speech, but little is known about the effect of nonnative accents in this setting. Nonnative-accented CEOs may avoid holding calls in English for fear of investors' negative stereotypes. However, theory indicates that stereotypes from the CEO position and nonnative accents conflict, and that the process of reconciling conflicting stereotypes requires effortful processing. We use a series of four experiments to test each link of the causal chain that we hypothesize based on this theory. We demonstrate that motivated investors reconcile conflicting stereotypes by inferring exceptional qualities, such as hard work and determination, that positively affect their impressions of nonnative-accented CEOs and, hence, of the company as an investment. We also show that, because bad news stimulates effortful processing, investors receiving bad (versus good) news are more likely to form a positive image of nonnative-accented CEOs and their companies. Data Availability: Contact the authors.

Audit firms have invested significantly in data analytics (DA). However, evidence shows that auditors are often reluctant to rely on DA. A major auditor concern is that inspectors will second-guess the audit evidence gathered using DA. Drawing on psychology research, we examine how the effect of inspection risk on auditors' reliance on DA is moderated by a fixed mindset (a belief that one's ability is fixed) versus a growth mindset (a belief that one's ability is malleable). In an experiment with Big 4 auditors as participants, we find that, relative to low inspection risk, high inspection risk reduces auditors' reliance on DA when auditors are prompted to adopt a fixed mindset but increases it when auditors are prompted to adopt a growth mindset. Our findings contribute to auditing literature on DA, inspection risk, and mindsets, and have implications for auditors, audit firms, and regulators.