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Jackknife Standard Errors for Clustered Regression

Review of Economic Studies 2026
Abstract 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.

Why do critical audit matters lack teeth? Insights from auditors’ implementation experiences

Review of Accounting Studies 2026 31(2), 1481-1520 open access
Abstract The PCAOB adopted critical audit matters (CAMs) to meet public demand for informative audit disclosure, but stakeholders are concerned this goal has not been achieved. We explore this disconnect via interviews with 30 highly experienced auditors. We find that audit firms expended considerable resources to implement CAM best practices. However, overwhelming institutional pressure gave rise to informal rules of thumb that prioritize symbolic comfort over substantive change. The first is don’t be an outlier , so auditors defer to the national office to ensure conformity and avoid PCAOB scrutiny. The second is report the “right” number of CAMs by never reporting zero and reporting at least one recurring CAM. The third is avoid surprises by communicating with the client to ensure that CAMs do not contain original information and allowing management to preempt auditor disclosures. Collectively, these rules yield CAMs that comply with PCAOB standards but do not provide new information and instead maintain the status quo.

How perception affects house prices: evidence from failed auctions

Review of Finance 2026
Abstract 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.

The Effects of Gender Integration on Men: Evidence from the U.S. Military

Quarterly Journal of Economics 2026 141(3), 2423-2498 open access
Abstract Do men negatively respond when women first enter an occupation? We answer this question by studying the end of one of the final explicit occupational barriers to women in the United States: in 2016, the U.S. military opened all positions to women, including historically male-only combat occupations. We exploit the staggered integration of women into combat units to estimate the causal effects of the introduction of female colleagues on men’s job performance, behavior, and perceptions of workplace quality, using monthly administrative personnel records and rich survey responses. We find that integrating women into previously all-male units does not negatively affect men’s performance or behavioral outcomes, including retention, promotions, demotions, separations for misconduct, criminal investigations, and medical conditions. Most of our results are precise enough to rule out small detrimental effects. However, there is a wedge between men’s perceptions and performance. The integration of women causes a negative shift in male soldiers’ perceptions of workplace quality. The decline is driven by units integrated with female officers, likely arising from female officers increasing men’s awareness of workplace problems or from men’s dissatisfaction from working with women in positions of authority—even though men in such units show some performance gains. If male-dominated workplaces are reluctant to incorporate women due to expectations that men will become less productive, our paper provides evidence to weigh against that notion.

Public School Funding, School Quality, and Adult Crime

The Review of Economics and Statistics 2026 108(3), 663-680
Abstract 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.

Motive Forces: Accountants' Distinctive Values and Their Attitudes Toward Social Reforms

Contemporary Accounting Research 2026 43(2), 707-744
ABSTRACT 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.

Inference Based on Time-Varying SVARs Identified with Sign Restrictions

Review of Economic Studies 2026
Abstract 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.