Knowledge that Transforms

Abstract Since 1970, the share of Black individuals living in suburbs of large cities has risen from 16% to 36%. We first show that Black suburbanization has led to major changes in neighborhoods, accounting for the majority of recent increases in both the average Black individual’s neighborhood quality and income segregation within the Black population. We then use an accounting exercise to show that changes in relative suburban amenities and housing prices explain a large share of Black suburbanization, while regional reallocation, changing educational attainment, and gentrification of Black city neighborhoods play only minor roles.

Abstract Constant elasticity of substitution (CES) demand for monopolistically competitive firm varieties is a standard tool for models in international trade and macroeconomics. Intervariety substitution in this model follows a simple share proportionality rule. In contrast, the standard tool kit in industrial organization (IO) estimates a system in which cross-elasticities depend on similarity in observable attributes. The gain in realism from the IO approach comes at the expense of requiring richer data and greater computational challenges. This paper uses the data generating process of Berry et al. (1995), BLP, who established the modern IO method, to simulate counterfactual trade policy experiments. We use the CES model as an approximation of the more complex underlying demand system and market structure. Although the CES model omits key elements of the data generating process, the errors are offsetting, allowing it to fit BLP-based predictions closely. For aggregate outcomes, it turns out that incorporating non-unitary pass-through matters more than fixing over-simplified substitution patterns.

Abstract Gun violence is a major problem in the United States, and extensive prior work has shown that higher temperatures increase violent behavior. We consider whether restricting the concealed carry of firearms mitigates or exacerbates the effect of temperature on violence. We use two identification strategies that exploit daily variation in temperature and variation in gun control policies between and within states. We provide evidence that more-prohibitive concealed-carry laws attenuate the temperature-homicide relationship. Our findings are consistent with more-prohibitive policy regimes reducing the lethality of altercations.

Abstract This paper provides novel evidence on the causal effect of high school Grade Point Average (GPA) on the human capital development and labor market trajectory of individuals. Causal identification is achieved by exploiting a unique feature of the Norwegian education system that produces exogenous variation in GPA among high school students. We find little effect on the number of completed years of higher education, but significant effects on the number and quality of higher education programs available to students after high school. Most importantly, we find persistent effects on students’ long-run labor market outcomes, most notably market wage.

Abstract We study how stickiness in business relationships influences the trade impact of aggregate uncertainty. To begin, we construct a product-level index of relationship stickiness using firm-to-firm relationship duration data. We then demonstrate how relationship stickiness shapes trade dynamics in response to uncertainty shocks. We find that episodes of uncertainty lead to a decline in the overall establishment of new business relationships, with the impact varying depending on the level of stickiness. In markets characterized by high stickiness, uncertainty shocks primarily impede investments in new firm-to-firm relationships. In contrast, for nonsticky products, the adjustment to uncertainty shocks mainly manifests as the disruption of existing relationships.

Abstract We develop a data-rich measure of expected macroeconomic skewness in the U.S. economy. Expected macroeconomic skewness is strongly procyclical, mainly reflects the cyclicality in the skewness of real variables, is highly correlated with the cross-sectional skewness of firm-level employment growth, and is distinct from financial market skewness. Revisions in expected skewness lead to business cycle fluctuations nearly indistinguishable from those induced by the main business cycle shock of Angeletos et al. (2020). This result is robust to controlling for macroeconomic volatility and uncertainty, and alternative macroeconomic shocks. Our findings suggest an important role of higher-order dynamics for business cycle theories.

Abstract I use newly digitized contract data on U.S. war production spending over 1940–1945 to analyze the macroeconomic effects of U.S. military spending in World War II. I find personal income multipliers of 0.34 over two years and 0.49 over three years. Personal income multipliers may substantially understate gross domestic product multipliers, perhaps by as much as 50%. Employment estimates imply costs per job-year over the same time horizons of $405,013 and $232,268 in 2015 dollars, suggesting job creation was limited. I also find evidence of negative scale effects: larger positive spending shocks are associated with systematically smaller multiplier estimates.

Abstract This paper reports causal evidence on how the extent of hybrid work—the number of days worked from home relative to days worked from office—affects employee attitudes and performance. Workers who spent around two days in the office each week on average self-reported greater work-life balance, more job satisfaction, and lower isolation from colleagues compared to workers who spent more or fewer days in the office. Employees in the intermediate hybrid condition received no different performance ratings compared to peers who spent more or fewer days in the office.

Abstract We study treatment-effect estimation using panel data. The treatment may be nonbinary, nonabsorbing, and the outcome may be affected by treatment lags. We make a parallel-trends assumption and propose event-study estimators of the effect of being exposed to a weakly higher treatment dose for ℓ periods. We also propose normalized estimators that estimate a weighted average of the effects of the current treatment and its lags. We also analyze commonly used two-way, fixed-effects regressions. Unlike our estimators, they can be biased in the presence of heterogeneous treatment effects. A local-projection version of those regressions is biased even with homogeneous effects.

Abstract I propose a model of skill-replacing routine-biased technological change (SR-RBTC). In this model, technology substitutes for the use of skill in routine tasks, in contrast to standard RBTC models, which assume that technology replaces the workers themselves. The SR-RBTC model explains three key trends that are inconsistent with standard RBTC models: (1) why specifically middle wages declined even though workers in routine occupations are dispersed across the entire bottom half of the wage distribution, (2) why middle wages stopped declining while technological change continued, and (3) why there is no substantial decline in the average wage of workers in routine occupations. I derive two new testable predictions from the model: a decrease in the return to skill and a decrease in skill level in routine occupations. I use an interactive fixed-effects model to confirm both predictions. Since SR-RBTC violates the ignorability assumption required by standard decomposition methods, I introduce a “skewness decomposition” to show that SR-RBTC is the main driver of bottom-half inequality trends.