This study examines whether the implementation of a mature enterprise risk management (ERM) framework by property and liability insurers improved their resilience in the face of the COVID-19 pandemic. To address the potential problem of endogeneity, we analyze a panel dataset of listed property and liability insurers from around the world using the propensity score matching method. Subsequently, a two-step “doubly robust” estimation method is employed. The results reveal that the performance of insurers with less mature ERM frameworks was adversely affected by the pandemic but that of insurers with more mature ERM frameworks was not. These findings remain consistent after conducting various robustness checks. Separate consideration of each ERM component reveals that no component independently enhanced insurers' resilience; rather, the components collectively enhanced their resilience. Overall, this study provides valuable insights for insurers and regulators aiming to enhance the industry's ability to withstand future challenges.

While prior work in management accounting has mainly focused on results controls, this study investigates how action accountability as an action control and job autonomy are jointly used by supervisors in a setting in which results controls at the individual employee level are of little relevance. We analyze our research question by collecting survey data among nurses from Swiss public hospitals. We predict and find that when task complexity is high, job autonomy and action accountability are used as substitutes by the supervisor. When task complexity is low, job autonomy and action accountability have a less substitutive relation than when task complexity is high. In supplemental analyses, we also find that action accountability and job autonomy act as substitutes with respect to employee loyalty and effort when task complexity is high and less so when it is low, consistent with supervisors’ control choices. We also collect additional archival and experimental data to provide supplemental evidence for our underlying theory. Our study enhances the understanding of the use and effects of action controls in settings in which results controls at the individual employee level are of little relevance.

Many agricultural and environmental technologies require upfront investments. This may deter adoption, particularly in settings characterized by information, liquidity, and credit constraints. We test for these barriers to the adoption of an agricultural technique that helps address land degradation in Niger. We find little evidence that liquidity or credit constraints deter adoption: instead, providing farmers with training increases the share of adopters by over 90 percentage points. Conditional or unconditional cash transfers have no additional effect. Adoption increases agricultural output and reduces land turnover in the longer term. In our setting, training provides both specific technical knowledge and addresses behavioral constraints.

This paper provides the first evidence from a randomized controlled trial isolating the impact of financial assistance to prevent homelessness. In this study, individuals and families at imminent risk of homelessness were offered temporary financial assistance, averaging nearly $2,000 for those assigned to treatment. Our results show that this assistance significantly reduces homelessness by 3.8 percentage points from a base rate of 4.1%. The effects are larger for people with a history of homelessness and no children. Despite concerns about cost-effectiveness due to difficulty targeting, our estimates suggest that the benefits to homelessness prevention exceed costs.

Professional skepticism is an essential element of a healthy audit. In this study, we present a framework in which the two elements of professional skepticism—skeptical judgment and skeptical action—differ in that skeptical judgment involves paying attention to audit risks, whereas skeptical action often involves overcoming personal risks. This distinction suggests that the optimal conditions for skeptical judgment may differ from the optimal conditions for converting that judgment to skeptical action. Specifically, interventions that promote vigilance will facilitate judgment because they make potential accounting issues salient, but such a focus will also draw attention to potential adverse consequences of taking action. To test this proposition, we conduct two studies in which we align skeptical judgment and skeptical action with two pairs of distinct and contrasting mindsets to operationalize differential vigilance. Our results suggest a duality in skepticism which has important implications for researchers and practitioners designing interventions to improve audit quality.

We study partially linear models when the outcome of interest and some of the covariates are observed in two different datasets that cannot be linked. This type of data combination problem arises very frequently in empirical microeconomics. Using recent tools from optimal transport theory, we derive a constructive characterization of the sharp identified set. We then build on this result and develop a novel inference method that exploits the specific geometric properties of the identified set. Our method exhibits good performances in finite samples, while remaining very tractable. We apply our approach to study intergenerational income mobility over the period 1850–1930 in the U.S. Our method allows us to relax the exclusion restrictions used in earlier work, while delivering confidence regions that are informative.

We examine the effect of fair value standards on firms' litigation risk. The discretion required by fair value allows plaintiffs to “second guess” managers' judgments, potentially increasing litigation risk. Alternatively, the complexity of fair value may decrease litigation risk if it's more difficult to demonstrate scienter. Our evidence suggests firms that rely more on fair value standards are relatively less likely to be sued. We find no evidence of a relation between fair value and the risk of misstatements or fraud, but do find evidence of a slight increase in firms' litigation risk via an increase in volatility. However, the primary effect of fair value standards in reducing litigation risk dominates the volatility effect. Finally, we find average litigation rates increase after the passage of new standards, but less so for fair value standards. On balance, our evidence suggests fair value is a relatively low litigation risk area in GAAP.

The correlation between uncertainty shocks, as measured by changes in the VIX, and changes in break-even inflation rates declined and turned negative after the Great Recession. This estimated time-varying correlation is shown to be consistent with the predictions of a standard New Keynesian model with a lower bound on interest rates and a trend decline in the natural rate of interest. In one equilibrium of the model, higher uncertainty raises the probability of large shocks that leave the central bank constrained by the lower bound and unable to offset negative shocks. Resulting inflation shortfalls lower average inflation rates.