Knowledge that Transforms

We analyze how firms choose the currency of invoicing and the implications of this choice for exchange rate pass-through into export prices and quantities. Using a new data set for Belgian firms, we find currency invoicing to be an active firm-level decision, shaped by the firm’s size, exposure to imported inputs, and the currency choices of its competitors. Our results show that a firm’s currency choice, in turn, has a direct causal effect on the exchange rate pass-through into prices and quantities. Moreover, the differential price response of similar firms that invoice in different currencies is large, persists beyond a one-year horizon, and gradually wanes in the long run. This results in allocative expenditure-switching effects on export quantities, which build up over time, suggesting a role for quantity adjustment frictions in addition to price stickiness. Our findings shed light on the mechanisms that make or break a dominant currency and the consequences it has for the international transmission of shocks.

Financial aid from the Susan Thompson Buffett Foundation (STBF) provides comprehensive support to a student population similar to that served by a host of state aid programs. In conjunction with STBF, we randomly assigned aid awards to thousands of Nebraska high school graduates from low-income, minority, and first-generation college households. Randomly assigned STBF awards boost bachelor’s (BA) degree completion for students targeting four-year schools by about 8 points. Degree gains are concentrated among four-year college applicants who would otherwise have been unlikely to pursue a four-year program. Degree effects are mediated by award-induced increases in credits earned toward a BA in the first year of college. The extent of initial four-year college engagement explains differences in impact by target campus and across covariate subgroups. The projected lifetime earnings effect of awards exceeds marginal educational spending for all of the subgroups examined in the study. Projected earnings gains exceed funder costs for urban students and for students with relatively weak academic preparation.

Clustered standard errors, with clusters defined by factors such as geography, are widespread in empirical research in economics and many other disciplines. Formally, clustered standard errors adjust for the correlations induced by sampling the outcome variable from a data-generating process with unobserved cluster-level components. However, the standard econometric framework for clustering leaves important questions unanswered: (i) Why do we adjust standard errors for clustering in some ways but not others, for example, by state but not by gender, and in observational studies but not in completely randomized experiments? (ii) Is the clustered variance estimator valid if we observe a large fraction of the clusters in the population? (iii) In what settings does the choice of whether and how to cluster make a difference? We address these and other questions using a novel framework for clustered inference on average treatment effects. In addition to the common sampling component, the new framework incorporates a design component that accounts for the variability induced on the estimator by the treatment assignment mechanism. We show that, when the number of clusters in the sample is a nonnegligible fraction of the number of clusters in the population, conventional clustered standard errors can be severely inflated, and propose new variance estimators that correct for this bias.

Can political rallies affect the behavior of law enforcement officers toward racial minorities? Using data from 35 million traffic stops, we show that the probability that a stopped driver is Black increases by 5.74% after a Trump rally during his 2015–2016 campaign. The effect is immediate, specific to Black drivers, lasts for up to 60 days after the rally, and is not justified by changes in driver behavior. The effects are significantly larger among law enforcement officers whose estimated racial bias is higher at baseline, in areas that score higher on present-day measures of racial resentment, those that experienced more racial violence during the Jim Crow era, and in former slave-holding counties. Mentions of racial issues in Trump speeches, whether explicit or implicit, exacerbate the effect of a Trump rally among officers with higher estimated racial bias.

We show theoretically and empirically that the managerial organization of multiestablishment firms is interdependent across establishments. To derive our result, we study the effect of geographic frictions on firm organization. In our model, we assume that a CEO’s time is a resource in limited supply, shared across headquarters and establishments. Geographic frictions increase the costs of accessing the CEO. Hiring middle managers at one establishment substitutes for CEO time, which is reallocated across all establishments. Consequently, geographic frictions between the headquarters and one establishment affect the organization of all establishments of a firm. Our model is consistent with novel facts about multiestablishment firm organization that we document using administrative data from Germany. We exploit the opening of high-speed railway routes to show that not only the establishments directly affected by faster travel times but also the other establishments of the firm adjust their organization. Our findings imply that local conditions propagate across space through firm organization.

We experimentally test several approaches to increasing the demand for workers with a criminal record on a nationwide staffing platform by addressing potential downside risk and productivity concerns. The staffing platform asked hiring managers to make a series of hypothetical hiring decisions that affected whether workers with a criminal record could accept their jobs in the future. We find that 39% of businesses in our sample are willing to work with individuals with a criminal record at baseline, which rises to over 50% when businesses are offered crime and safety insurance, a single performance review, or a limited background check covering just the past year. Wage subsidies can achieve similar increases but at a substantially higher cost. Based on our findings, the staffing platform relaxed the criminal background check requirement and offered crime and safety insurance to interested businesses.

We estimate the slope of the Phillips curve in the cross section of U.S. states using newly constructed state-level price indices for nontradeable goods back to 1978. Our estimates indicate that the slope of the Phillips curve is small and was small even during the early 1980s. We estimate only a modest decline in the slope of the Phillips curve since the 1980s. We use a multiregion model to infer the slope of the aggregate Phillips curve from our regional estimates. Applying our estimates to recent unemployment dynamics yields essentially no missing disinflation or missing reinflation over the past few business cycles. Our results imply that the sharp drop in core inflation in the early 1980s was mostly due to shifting expectations about long-run monetary policy as opposed to a steep Phillips curve, and the greater stability of inflation between 1990 and 2020 is mostly due to long-run inflation expectations becoming more firmly anchored.

We demonstrate an important complementarity between patriotism and public-good provision. After 1933, the New Deal led to an unprecedented expansion of the U.S. federal government’s role. Those who benefited from social spending were markedly more patriotic during World War II: they bought more war bonds, volunteered more, and, as soldiers, won more medals. This pattern was new—World War I volunteering did not show the same geography of patriotism. We match military service records with the 1940 census to show that this pattern holds at the individual level. Using geographical variation, we exploit two instruments to suggest that the effect is causal: droughts and congressional committee representation predict more New Deal agricultural support, as well as bond buying, volunteering, and medals.