We examine the staggered adoption of additional educational requirements (“150‐hour rule”) for Certified Public Accountants (“CPAs”) to understand the effects of occupational licensing on minority participation in professional labor markets. The 150‐hour rule increased the educational requirement for CPAs from 120 to 150 credit hours, effectively adding a fifth year of study. We find a 13% greater entry decline following the requirement's enactment for minority than nonminority CPA candidates. Our analyses of parental income and financial aid availability point to a socioeconomic status channel explaining the differential entry declines. Studying exam passing patterns, professional misconduct, and job postings we find a deterioration, or at best, no change in CPA quality following enactment.

We examine how disclosure delivery mode—oral versus written—influences investors' reactions to managers' tone language. We hypothesize that listening to disclosures, relative to reading them, causes managers' qualitative word choices to have a greater impact on investors' judgments. We theorize that this effect occurs because oral delivery mode promotes heuristic processing and qualitative tone language is an easy‐to‐process disclosure element. The results from an experiment in a conference call setting are consistent with our hypothesis and suggest a boundary condition. Specifically, the interaction of mode and tone language is significant in a setting where heuristic processing is likely (good earnings news) but not in a setting where investors are likely to scrutinize the disclosure (bad earnings news). Our results inform investors about the potential consequences of how they consume disclosures. Specifically, we show that investors are more susceptible to managers' tone language when listening to disclosures containing good news than when reading them.

Despite years of initiatives to improve gender equity in public accounting firms, women continue to be underrepresented at the partner level. Supporting women's aspirations to become partner is important to ensure there are more women in the pipeline of potential partners. However, we argue that challenges during the COVID‐19 pandemic are likely to have negative downstream effects on accounting firms' efforts to improve female partner representation. Therefore, using a survey of 192 certified public accountants (CPAs), we develop and test a theoretical model that examines changes in women's partner aspirations during the COVID‐19 pandemic. Using the conservation of resources (COR) theory, we predict that women experienced disproportionately higher role overload during the pandemic compared to men. We also rely upon COR theory to predict that higher levels of role overload will be associated with weakened partner‐track motivations (i.e., less value placed on the advantages of the partner level and lower willingness to make the sacrifices necessary to pursue the partner level) and weakened partner aspirations. Consequently, we expect that women public accountants experienced weakened partner aspirations through higher role overload during the pandemic. Results support our predictions as we find that women experienced higher levels of role overload, which are associated with weakened partner‐track motivations, which in turn are associated with weakened partner aspirations. In sum, our results suggest that the COVID‐19 pandemic exacerbated pre‐pandemic gender equity challenges within public accounting firms. Fortunately, we also find that higher levels of supervisor support and coworker support help limit role overload and mitigate declines in partner aspirations. We discuss several insights that firms can use to mitigate post‐pandemic declines in women's partner aspirations.

Penalty contracts are commonly utilized in developing countries. Such contracts may be perceived as unfair, potentially reducing employee motivation and performance. We predict that adding a second‐chance provision , an opportunity to reverse a penalty for poor performance if subsequent performance improves, could improve the effectiveness of penalty contracts. In a quasi field experiment at a company with two manufacturing facilities in Taiwan, we treated one facility with a traditional‐penalty contract without a second‐chance provision and the other with a penalty contract with a second‐chance provision. We observe a significant difference in the two treatment effects, with employee performance decreasing significantly after the traditional‐penalty treatment but showing no decrease when a second‐chance provision was included. Further analysis reveals that this difference is mediated by employees' fairness perceptions. These results provide valuable insights to governments, nongovernmental organizations, and multinationals as they work together to improve the fairness of global compensation practices.

We develop a model of inter-temporal and intra-temporal price discrimination by monopoly airlines to study the ability of different discriminatory pricing mechanisms to increase efficiency and the associated distributional implications. To estimate the model, we use unique data from international airline markets with flight-level variation in prices across time, cabins, and markets and information on passengers’ reasons for travel and time of purchase. The current pricing practice yields approximately 77% of the first-best welfare. The source of this inefficiency arises primarily from private information about passenger valuations, not dynamic uncertainty about demand. We also find that if airlines could discriminate between business and leisure passengers, total welfare would improve at the expense of business passenger surplus. Also, replacing the current pricing that involves screening passengers across cabin classes with offering a single cabin class has minimal effect on total welfare.

This paper proposes a model for, and investigates the consequences of, strong spatial dependence in economic variables. Our findings echo those of the corresponding “unit root” time series literature: Spatial unit root processes induce spuriously significant regression results, even with clustered standard errors or spatial HAC corrections. We develop large‐sample valid unit root and stationarity tests that can detect such strong spatial dependence. Finally, we use simulations to study strategies for valid inference in regressions with persistent spatial data, such as spatial analogues of first‐differencing transformations. Regressions from Chetty, Hendren, Kline, and Saez (2014) are used to illustrate the issues and methods.

Standard extreme value theory implies that the distribution of the largest observations of a large cross section is well approximated by a parametric model, governed by a location, scale and shape parameter. The extremes of a panel of independent cross sections are all governed by the same parameters as long as the underlying distribution as well as the size of the cross sections are time invariant. We derive inference about these parameters, and tests of the null hypothesis of time invariance, under asymptotics that do not require the number of extremes or the number of time periods to increase. We further apply Hamiltonian Monte Carlo techniques to estimate the path of time-varying parameters. We illustrate the approach in four examples of U.S. data: damages from weather-related disasters, financial returns, city sizes and firm sizes.

We introduce a novel application of machine learning to compare pooling and servicing agreements (PSAs) that govern commercial mortgage-backed securities. In contrast to the view that the PSA is largely boilerplate text, we document substantial variation across PSAs, both within- and across-underwriters and over time. A part of this variation is driven by differences in loan collateral across deals. Additionally, we find that differences in PSAs are correlated with ex post loan and bond performance. Collectively, our analysis suggests the importance of examining the entire governing document, rather than specific components, when analyzing complex financial securities.

This study shows that firms regard stock price fragility - exposure to non-fundamental demand shocks stemming from the composition of equity ownership - as a salient corporate risk. We model ex ante corporate responses to higher potential for future stock market misvaluation and then empirically document that within firm variation in equity fragility has effects in line with the model: higher fragility raises cash holdings and lowers investment. Multiple natural experiments support a causal interpretation of the results. The results are shown to be more prominent in the face of high uncertainty and financial constraints. The evidence presents a new dimension of how managerial expectations affect corporate policies.