Abstract We study how financial certifier competition influences loan contracting in the context of financial auditing. Exploiting the unexpected demise of Arthur Andersen that exogenously decreased auditor competition, we find a greater decrease in loan spread for borrowers in markets in which certifier competition declined more. Additional analyses suggest the result stems from enhanced audit quality and reduced credit risk. The effect of certifier competition is stronger for borrowers with weaker external monitoring and those generating significant revenue for their auditors. Our evidence highlights negative consequences of financial certifier competition. (JEL D43, G21, M42, M49)

Abstract We study the role of public risk-sharing in markets where firms face substantial cost uncertainty, focusing on public reinsurance in health insurance. We develop a model where insurers internalize cost uncertainty through risk charges that raise effective marginal costs and create a role for reinsurance. Public reinsurance lowers both expected costs and cost volatility, particularly for smaller insurers, reducing prices and enhancing competition. Using an event study of staggered state-level reinsurance programs, we show that public reinsurance leads insurers to lower prices and private reinsurance purchases, benefiting financially constrained insurers the most. Structural estimates indicate that risk charges account for a substantial share of the premium-cost wedge and highlight public reinsurance’s comparative advantage over premium subsidies by providing risk protection and enhancing competition. Our results underscore the importance of accounting for firms’ risk exposure in policy design and provide a general framework for understanding public risk-sharing policies.

The long-term decline in US workers’ attempts to organize labor unions accelerated after 2000. We find that the swift rise of imports from China arising from a change in trade policy accounts for nearly all of this post-2000 acceleration: union certification elections decreased substantially among workers in manufacturing industries directly exposed to imports, but also among workers indirectly exposed through their local labor market. Consistent with a simple model of workers’ decision to seek union representation, direct exposure lowered the expected wage gain from unionization, whereas indirect exposure increased the cost of job loss—both of which discourage organizing.

ABSTRACT Research has long recognized that institutional investors possess significant information processing advantages. Yet even these investors face limited‐attention constraints, implying that periods of distraction may attenuate their advantage. We examine the effects of a plausibly exogenous shock to institutional attention arising from the annual buy‐side‐focused Equity Research and Valuation (ERV) conference for Chartered Financial Analysts on institutions' information processing at earnings announcements. Validation tests using conference call data indicate that fewer buy‐side analysts are present on earnings calls during ERV conferences and that questions are shorter, consistent with the presence of substitute or backup analysts. In our main analyses, we find that buy‐side analyst inattention reduces information asymmetry among investors and improves liquidity at these earnings announcements, consistent with theory, and observe similar results for non–earnings announcement events. In additional tests, we document slower price formation, but also more profitable retail trading, during these periods. Collectively, we provide novel evidence on the market consequences of institutional inattention during key information events.

Abstract Human decision-makers frequently override the recommendations generated by predictive algorithms, but it is unclear whether these discretionary overrides add valuable private information or reintroduce human biases and mistakes. We develop new quasi-experimental tools to measure the impact of human discretion over an algorithm on the accuracy of decisions, even when the outcome of interest is only selectively observed, in the context of bail decisions. We find that 90% of the judges in our setting underperform the algorithm when they make a discretionary override, with most making override decisions that are no better than random. Yet the remaining 10% of judges outperform the algorithm in terms of both accuracy and fairness when they make a discretionary override. We provide suggestive evidence on the behaviour underlying these differences in judge performance, showing that the high-performing judges are more likely to use relevant private information and are less likely to overreact to highly salient events compared to the low-performing judges.

Abstract We study trading among strategic traders who may incorrectly assess the degree of market crowdedness. These mistakes distort equilibrium strategies and prices. When traders underestimate market crowdedness, they target larger inventories and trade more aggressively, but their actual profits are lower than expected because they underestimate the amount of information already impounded in prices. Crowded markets are prone to abrupt crashes. The magnitude of price dislocations and the speed of recovery during fire-sale events can help infer traders’ beliefs about market crowdedness.