Surveys measuring happiness or preferences generate discrete ordinal data. Ordered response models, which are used to analyze such data, suffer from an identification problem. Their conclusions depend on distributional assumptions about a latent variable. We propose using response times to solve that problem. Response times contain information about the distribution of the latent variable through a chronometric effect. Using an online survey experiment, we verify the chronometric effect. We then provide theoretical conditions for testing conventional distributional assumptions. These assumptions are rejected in some cases, but overall our evidence is consistent with the qualitative validity of the conventional models. (JEL C14, D60, D91, I31)

We study liquidity conditions in the corporate bond market during the COVID-19 pandemic. We document that the cost of trading immediately via risky-principal trades dramatically increased at the height of the sell-off, forcing customers to shift toward slower agency trades. Exploiting eligibility requirements, we show that the Federal Reserve’s corporate credit facilities have had a positive effect on market liquidity. A structural estimation reveals that customers’ willingness to pay for immediacy increased by about 200 bps per dollar of transaction, but quickly subsided after the Fed announced its interventions. Dealers’ marginal cost also increased substantially but did not fully subside.

ABSTRACT We study links between the labor market for loan officers and access to mortgage credit. Using novel data matching mortgage applications to loan officers, we find that minorities are underrepresented among loan officers. Minority borrowers are less likely to complete mortgage applications, have completed applications approved, and to ultimately take up a loan. These disparities are reduced when minority borrowers work with minority loan officers. These pairings also lead to lower default rates, suggesting minority loan officers have an informational advantage with minority borrowers. Our results suggest minority underrepresentation among loan officers reduces minority borrowers’ access to credit.