The federal tax code provides preferential treatment for the production and use of renewable energy. We report estimates of the subsidies' effects on greenhouse gases (GHG) emissions developed in a recent National Research Council (NRC) Report. Due to lack of estimates of the impact of tax provisions on GHG emissions, new modeling studies were commissioned. The studies found, at best, a small impact of subsidies in reducing GHG emissions; in some cases, emissions increased. The NRC report also identified the need to capture the complex interactions among subsidies, pre-existing regulations, and commodity markets.

Was the Depression forecastable? After the crash, how long should it have taken contempo rary forecasters to realize how severe the downturn was going to be? These questions are addressed by studying the predictions of the Harv ard Economic Service and Yale's Irving Fisher during 1929 and the ear ly 1930s. The data assembled by the Harvard and Yale forecasters, tog ether with modern historical data, are subjected to statistical analy sis to learn whether their verbal pronouncements were consistent with the data. Both the Harvard and Yale forecasters were systematically too optimistic. Yet, nothing in the data suggests that the optimism w as unwarranted.

Oversight responsibilities for many audit committees (ACs) are evolving to include some of the hottest topics in the boardroom: enterprise risk management, cybersecurity, and environmental, social, and governance reporting. However, certain ACs avoid overseeing these evolving areas, creating significant variation across boards in the assignment of responsibilities. In this study, we seek to understand how ACs respond when environmental changes create new evolving risks that may extend the boundary of their traditional domain. To do so, we interview a diverse set of 29 AC members from U.S. publicly traded companies. We analyze our data through the theoretical lens of collaborative boundary work to identify how ACs respond by extending, blurring, or maintaining their perceived oversight boundaries, the related implications of these decisions, and their key tactics employed to manage AC workload. Our findings should be of interest to boards, investors, and regulators tasked with monitoring AC effectiveness.

The concept of materiality has acquired great significance in sustainability reporting. Through the theoretical bricolage of boundary objects and boundary work and drawing upon 91 interviews, we trace materiality’s evolving role across four interconnected episodes. Our findings show that materiality begins as a multivisionary object that draws the attention of largely unconnected groups. As different actors become more aware of each other, materiality becomes a meeting point object, and then a discursive and bridge-like object for them to talk about their relationships. However, the subsequent escalation of competitive boundary work turns materiality into a divisive institutional object that inhibits cooperation. Moving beyond a view of materiality as a way to distinguish significant information within corporate reports, our analysis fleshes out the visionary and relational roles that materiality has performed in sustainability reporting for a broad range of field-level actors to see themselves and their relationships to others in new lights.

We investigate (1) how well a machine learning algorithm can predict one-year ahead effective tax rates (ETRs) and (2) which items in the financial statements and notes are most useful for these predictions. We compare our machine-generated ETR predictions with those from ETRs implied by analysts’ earnings forecasts and find the algorithm’s predictions are less biased, more precise, and explain more of the variance in future ETRs. We then use Explainable AI (based on Shapley values) to measure the usefulness of each disclosure item in the algorithm’s predictions. We find that while some tax-related items are useful, others offer minimal value. Using the machine learning algorithm’s use of information as a benchmark, we then further use Shapley values to examine which information is underweighted or overweighted by analysts. Overall, our results help inform standard setters on the relevance of certain tax disclosures in achieving the objective of predicting future ETRs.

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.

This study examines whether material corporate events that occur during the year-end closing process constrain management's and the auditor's resources and inhibit them from providing high-quality financial reports. For a sample of U.S. company financial reports issued during 2000–2013, we identify material corporate events using Type II subsequent event footnote disclosures (i.e., material events that occur in year t+1, but prior to the issuance of the year t financial statements, yet do not affect amounts recognized in year t). We find that Type II subsequent events are associated with lower financial reporting quality, as measured by the need to subsequently restate the year t financial statements. The increased restatement likelihood only occurs when managers are resource-constrained. Auditors can mitigate the increased restatement risk, but only when they allocate more resources to the engagement. Our results underscore the importance of resource management in the financial reporting and audit processes.

We examine whether social ties between engagement auditors and audit committee members shape audit outcomes. Although these social ties can facilitate information transfer and help auditors alleviate management pressure to waive correction of detected misstatements, close interpersonal relations can undermine auditors' monitoring of the financial reporting process. We measure social ties by alma mater connections, professor-student bonding, and employment affiliation, and audit quality by the propensity to render modified audit opinions, financial reporting irregularities, and firm valuation. Our evidence implies that social ties between engagement auditors and audit committee members impair audit quality. In additional results consistent with expectations, we generally find that this relation is concentrated where social ties are more salient, or firm governance is relatively poor and agency conflicts are more severe. Implying reciprocity stemming from social networks, we also report some suggestive evidence that audit fees are higher in the presence of social ties between an engagement auditor and the audit committee. Collectively, our analysis lends support to the narrative that the negative implications—namely, worse audit quality and higher audit fees—of these social ties may outweigh the benefits.