This article presents a theoretical case for replacement of conventional heteroskedasticity-consistent and cluster-robust variance estimators with jackknife variance estimators, in the context of linear regression with heteroskedastic and/or cluster-dependent observations. We examine the bias of variance estimation and the coverage probabilities of confidence intervals. Concerning bias, we show that conventional variance estimators have full downward worst-case bias, while our jackknife variance estimator is never downward biased. Concerning confidence intervals, we show that intervals based on conventional standard errors have worst-case coverage equalling zero, while the jackknife-based confidence interval has coverage probability bounded by the Cauchy distribution, under the auxiliary assumption of normal errors. We also extend the Bell and McCaffrey (2002) student t approximation to our jackknife t-ratio, resulting in confidence intervals with improved coverage probabilities. Our theory holds under broad assumptions, allowing arbitrary cluster sizes, regressor leverage, within-cluster correlation, heteroskedasticity, regression with a single treated cluster, fixed effects, and delete-cluster invertibility failures. Our theoretical findings are consistent with the extensive simulation literature investigating heteroskedasticity-consistent and cluster-robust variance estimation.

This study evaluates the auditing profession's diversity outcomes by comparing diversity along the university to job pipeline for auditing and other comparison disciplines. My tests show consistently anomalous outcomes for Black people in the audit labor pipeline, and therefore, I focus the study on them. I find that, among college freshmen planning to major in accounting, Black college freshmen are significantly overrepresented relative to freshmen planning to major in other business disciplines or nonbusiness disciplines. I find evidence of Black underrepresentation in the audit labor pipeline at every subsequent point: among accounting bachelor's and master's degree recipients, in the audit firm recruiting process, and among young professional auditors. My evidence of especially sharp Black attrition from accounting degree programs is, to my knowledge, novel. Although I lack sufficient data to pinpoint the mechanisms causing this sharp Black attrition from accounting degree programs, my findings are inconsistent with the popular theory that Black college students are distinctively uninterested in pursuing accounting education. It is not yet possible to make well‐targeted and data‐driven policy prescriptions to counter Black attrition from accounting degree programs because its causes are not well understood. Universities could contribute to the diagnosis process by systematically collecting and distributing data characterizing when and why students select away from accounting. My findings on audit firm recruiting are inconsistent with popular theories that Black underrepresentation in audit firms is attributable to overtly racially biased recruiters or lower interest among Black accounting graduates in pursuing careers in audit firms. Rather, my findings conform best with unintentionally biased recruiting by audit firms, which appear to make recruiting investments using outdated definitions of school quality. My evidence suggests that campus‐recruiting leaders within audit firms have the opportunity to hire more Black auditors without reducing the quality of the schools from which they recruit.

We examine whether PCAOB inspection deficiencies related to management review controls (MRCs) affect financial reporting decisions. Using the goodwill impairment setting, we find that firms are more likely to record goodwill impairments when their auditors have received more PCAOB inspection deficiencies related to goodwill MRCs. The association is stronger when inspection deficiencies are more likely to lead to changes to the design or implementation of an internal control (repeat deficiencies and deficiencies related to MRC precision). We observe some evidence that MRC inspection deficiencies increase the likelihood of goodwill impairment even when unrelated to goodwill, indicating that improving the audit of MRCs can broadly affect financial reporting. Our findings provide evidence that PCAOB inspections affect not only auditor behavior but also the financial reporting behavior of audit clients. Specifically, inspection feedback appears to influence reporting outcomes through changes in the audit and evaluation of MRCs, identifying a channel through which regulatory oversight affects issuers. The results have implications for audit firms seeking to remediate inspection deficiencies, for management and audit committees responsible for overseeing significant estimates and impairment analyses, and for regulators evaluating the broader effectiveness of the PCAOB inspection process.

In the Australian real estate market, about a third of properties are sold at auction. Properties that fail auctions sell later for a 1.3 percent discount. Consistent with a causal channel, the effect holds with property-level fixed effects and when auction failure is instrumented by adverse weather or seller overvaluation. Prices cluster below round numbers, and the discount fades over time, inconsistent with our effects reflecting unobserved property characteristics. The evidence suggests that there are behavioral factors affecting the valuations of buyers and sellers.

This paper asks whether increasing public school funding can be an effective long-run crime-prevention strategy in the United States. Specifically, we examine the effect of increases in funding early in children’s lives on the likelihood that they are arrested as adults. We exploit quasi-experimental variation in public school funding, leveraging two natural experiments in Michigan and a novel administrative data set linking the universe of Michigan public school students to adult criminal justice records. The first research design exploits variation in operating expenditures due to Michigan’s 1994 school finance reform, Proposal A. The second design exploits variation in capital spending by leveraging close school district capital bond elections in a regression discontinuity framework. In both cases, we find that students exposed to additional funding during elementary school were substantially less likely to be arrested in adulthood. We show that the social benefits of increasing school funding are greater than the costs, even when considering only the crime-reducing benefits.

We propose an approach for Bayesian inference in time-varying structural vector autoregressions (SVARs) identified with sign restrictions. The linchpin of our approach is a class of rotation-invariant time-varying SVARs in which the prior and posterior densities of any sequence of structural parameters belonging to the class are invariant to orthogonal transformations of the sequence. Our methodology is new to the literature. In contrast to existing algorithms for inference based on sign restrictions, our algorithm is the first to draw from a uniform distribution over the sequences of orthogonal matrices given the reduced-form parameters. We illustrate our procedure for inference by analyzing the role played by monetary policy during the latest inflation surge.

We use theory from identity economics, which synthesizes research characterizing how personal identity shapes decisions in domains such as education and career selection, to predict that the process by which people sort into accounting careers produces a population of accountants with a distinctive set of values. Specifically, we hypothesize that two kinds of personal values, called conservation values and self‐enhancement values, are overrepresented among accountants because they are associated with the decision to work as an accountant. Using data from 38 countries in the European Social Survey, we find support for both hypotheses. Given this evidence that accountants' values prioritize stability over change and concern for self over concern for others, we further hypothesize that, motivated by these values, accountants will be relatively skeptical about contemporary targets of social reforms, including those pursued by prominent accounting organizations. We test this prediction using attitudes about climate change and tolerance for minorities and find support for it. Based on our findings, we derive recommendations for an effective design of social reforms in the accounting profession. Our findings are relevant for accounting elites tasked with leading the profession into a dynamic future and contribute to the new and growing literature on accounting's human capital.

We examine the impact of Internal Revenue Service (IRS) Code Section 4960 of the Tax Cuts and Jobs Act of 2017 on nonprofit organizations (NPOs). This section imposes a 21% excise tax on nonprofit employee compensation exceeding $1 million per covered individual. As this is an exogenous shock imposing a cost on NPOs with highly paid employees, it leads us to examine whether those employees share the newly added cost via a reduction in their compensation. Using a difference‐in‐differences analysis on data from IRS Form 990 filings for nearly 40,000 nonprofit employee‐year observations from 2015 to 2010, we find that the level of compensation, on average, increases for treated executives in the post–Section 4960 period, but at a slower rate than that of the control group of executives. These results are consistent with highly paid employees being reluctant, on average, to take a pay cut, but being more willing to accept a reduction in their rate of pay growth. Our results are robust to alternative treatment specifications and control samples, such as employees who earn more than $1 million but are not covered under Section 4960 and medical professionals who are specifically exempt from Section 4960. We also find that compensation decreases are more likely for treated employees post–Section 4960 and that replacements for treated CEOs take an even steeper pay cut post–Section 4960. Additionally, we observe increased turnover for treated CEOs post–Section 4960, consistent with Section 4960 leading to conflicts between treated CEOs and their boards regarding the excise tax and who should bear its cost.

I examine the association between data visualizations in earnings conference call presentations and contemporaneous disclosure processing outcomes. I find that the use of data visualizations in this setting is associated with decreases in abnormal information asymmetry and increases in abnormal market liquidity. In addition, I find that data visualizations help investors process information when investors face greater acquisition and integration costs. Finally, I find that data visualizations are associated with increased trading activity and trade profitability for less-sophisticated investors. Overall, my results suggest that the use of data visualizations in earnings conference calls can reduce investors’ processing costs and improve market outcomes. Data Availability: Data are available from sources identified in the text.