I develop a simple competitive equilibrium model and derive the prediction that CEO pay-size elasticity increases when more firms compete for an inelastic supply of managers. Using industry-level IPO waves as a proxy for increased competition for CEOs, I find that pay-size elasticity increases by 6% with a one-standard-deviation increase in IPO activity. This effect is stronger in specialized industries. In addition, increased IPO activity leads to a greater likelihood of executive transitions between firms. These findings indicate that market forces play a key role in the determination of CEO pay. Received August 6, 2015; editorial decision September 24, 2016 by Editor Francesca Cornelli.

This paper studies the role of workplace peers in the transmission of information pertinent to an important household financial decision: the mortgage refinancing choice. Exploiting commonalities in teaching schedules of school teachers in Texas to identify peer groups, we find that refinancing activity among teachers’ peers increases their likelihood of refinancing by 20.7%. The effect of peers increases with the potential savings realized upon refinancing and is stronger among younger teachers. Peers also affect teachers’ choice of lender. Overall, our findings suggest that peer interactions greatly reduce a household’s cost of acquiring and processing financial information. Received March 6, 2017; editorial decision July 31, 2018 by Editor Itay Goldstein.

This paper proposes several frameworks to estimate the appropriate default correlations for structured products, each of which jointly considers the role of co-movements in modeled risk characteristics and unmodeled systematic risk, or ‘frailty.’ We contrast our estimates with credit rating agencies’ default correlation assumptions, which were only 0.01 for Collateralized Loan Obligations (CLOs) pre-crisis and have increased to 0.03 post-crisis. In contrast, the joint consideration of observable risk factors and frailty leads to substantially higher estimates of 0.12. We show that this translates into CLOs with credit risk understated by 26%, suggesting caution for the post-crisis structured finance market.

While corporate social responsibility by firms aims at improving welfare for different social groups, whether it achieves this is often difficult to measure. After Apr. 2018 protests, Starbucks enacted policies that anybody could sit in their stores and use the bathroom without making a purchase. Using anonymized cellphone location data, we estimate this led to a 7.0% decline in attendance relative to other nearby coffee shops. The effect is 84% larger near homeless shelters and larger for Starbucks’ wealthier customers. The average time spent per visit declined by 4.1%. Public urination citations decreased near Starbucks locations, but other minor crimes were unchanged.

Research on the determinants of tax avoidance have relied on tests using GAAP and cash effective tax rates (ETRs) and total and permanent book‐tax differences. Two new proxies have emerged that overcome documented limitations of these proxies: one, developed by Henry and Sansing (2018), allows for more meaningful interpretation of results estimated in samples that include loss observations. The other, reserves for unrecognized tax benefits (UTB), provides new data on tax uncertainty. We offer empirical evidence on how well tests using these new proxies perform relative to those extensively used in prior research. The paper finds that tests using the proxy developed by Henry and Sansing (2018) have lower power relative to those using other proxies across all samples, including a sample that includes loss observations. In contrast, when firms accrue reserves for uncertain tax avoidance, tests using the current‐year addition to the UTB have the highest power across all proxies, samples, and levels of reserves. In the absence of reserves, tests using the GAAP ETR best detect uncertain tax avoidance, on average. This study contributes to the literature by using a controlled environment to provide the first large‐scale empirical evidence on how the power of tests varies with the use of relatively new proxies, the inclusion of loss observations, and the advent of FIN 48.

Using administrative data on credit profiles matched with unemployment insurance (UI) for individuals in the U.S., we show that laid-off workers with access to Uber rely less on household debt, experience fewer delinquencies, and are less likely to apply for UI benefits. Our empirical strategy exploits both the staggered market entry of Uber across cities and the differential benefit of its entry across car owners based on car age, a key eligibility requirement of the platform. We conclude that the introduction of Uber reduced reliance on these alternative means of smoothing extreme income shocks.

We examine whether “rating shopping” or “rating catering” is a more accurate characterization of rating agency interactions regarding collateralized debt obligations (CDOs). Although investors paid a premium for dual ratings, AAA CDO tranches rated by both Moody's and S&P defaulted more frequently than tranches rated by only one of them, which is inconsistent with pure rating shopping. Rating agencies made upward adjustments beyond their model when their competitor had more lenient assumptions. Finally, consistent with rating catering, S&P's and Moody's adjustments and disagreements at security issuance were reflected in subsequent rating downgrades, suggesting that adjustments were harmful.

We estimate Moody’s preference for accurate versus biased ratings using hand-collected data on the internal labor market outcomes of its analysts. We find that accurate analysts are more likely to be promoted and less likely to depart. The opposite is true for analysts who downgrade more frequently, who assign ratings below those predicted by a ratings model, and whose downgrades are associated with large negative market reactions. Downgraded firms are also more likely to be assigned a new analyst. These patterns are consistent with Moody’s balancing its desire for accuracy against its corporate clients’ desire for higher ratings.