Knowledge that Transforms

Abstract This article shows that a CEO’s trust enhances innovation within a firm, providing a novel micro-foundation for the well-known trust-growth relationship. I build a new matched CEO-firm-patent data set covering 5,753 CEOs in 3,598 U.S. public firms and 700,000 patents during 2000–2011. I exploit variation in generalized trust across CEO ethnic origins, inferred from their last names using deanonymized historical censuses. Following CEO turnovers, a one standard deviation increase in a CEO’s generalized trust is associated with 6% more future patents and 4%–6% higher average patent quality, driven entirely by higher-quality patents. Text analysis of employee reviews shows that the CEO’s trust enhances a firm’s trust culture. These results are consistent with insights from qualitative interviews suggesting that the CEO's trust and the firm’s trust culture encourage researchers to undertake high-risk explorative research and development. In addition, changes in the CEO’s bilateral trust toward inventors in different countries have comparable effects on inventors’ patenting, controlling for CEO and other fixed effects.

Abstract We show that intergenerational mobility changed rapidly by race and class in recent decades in the United States and study the causal mechanisms underlying those changes. Between the 1978 and 1992 birth cohorts, earnings increased for white children from high-income families relative to white children from low-income families, increasing earnings gaps by parental income (class) by 30%. Earnings increased for Black children at all parental income levels, reducing white-Black earnings gaps for children from low-income families by 30%. Class gaps grew and race gaps shrank similarly for nonmonetary outcomes such as educational attainment, standardized test scores, and mortality rates. Using a quasi-experimental design, we show that the divergent trends in economic mobility were caused by differential changes in childhood environments, as proxied by parental employment rates, in local communities defined by race, class, and childhood county. Outcomes improve across birth cohorts for children who grow up in communities with increasing parental employment rates, with larger effects for children who move to such communities at younger ages. Children’s outcomes are most strongly related to the parental employment rates of peers they are more likely to interact with, such as those in their own birth cohort, suggesting that the relationship between children’s outcomes and parental employment rates is mediated by social interaction.

Abstract In this article, we establish a causal connection between two of the most salient social developments in the United States over the past decades: the opioid epidemic and the political realignment between the Republican and Democratic parties. Drawing on unsealed records from litigation against Purdue Pharma, we uncover rich geographic variation in the marketing of prescription opioids that serves as a quasi-exogenous source of exposure to the epidemic. We use this variation to document significant increases in drug-related mortality and greater reliance on public transfer programs. This induced economic hardship led to substantial changes in the political landscape of the communities most affected by the opioid epidemic. We estimate that from the mid-2000s to 2022, exposure to the opioid epidemic continuously increased the Republican vote share in House, presidential, and gubernatorial elections. By the 2022 House elections, a one-standard-deviation increase in our measure of exposure led to a 4.5 percentage point increase in the Republican vote share. From 2012 until 2022, this increase in the House vote share translated into Republicans winning additional seats.

Abstract Aspirations may condition the future-oriented choices of individuals and thus may play a role in the persistence of poverty or the effort to break out of it. We run a randomized controlled trial in remote, rural Ethiopia to explore this and evaluate an intervention that aims to change how poor people perceive their future opportunities, alter their aspirations, and through that, modify their investment decisions. A treatment group was shown video documentaries featuring individuals from similar communities who escaped poverty through their own efforts and who serve as relatable role models. Five years after the screening took place, the treated households had increased future-oriented investments in agriculture, children’s education, and assets. The results can be explained by an increase in aspirations in terms of lifetime goals. Overall, this research uniquely provides evidence that a light-touch behavioural intervention can have persistent economic impacts on a poor population.

Abstract Empirical studies find that the pass-through of input cost changes to prices is incomplete: a 10% increase in costs causes downstream prices to rise less than 10%, even at long horizons. Using microdata from gas stations, food products, and manufacturing industries, I find that incomplete pass-through in percentages often disguises complete pass-through in levels: a $1/unit increase in input costs leads to $1/unit higher downstream prices. Pass-through appears incomplete in percentages due to a gap between prices and costs. Complete pass-through in levels contrasts with workhorse macroeconomic models that feature homothetic industry demand systems. I identify an alternative class of demand systems that yields pass-through in levels and highlight four implications. First, measuring pass-through in percentages can lead to spurious evidence of asymmetry and size dependence. Second, pass-through in levels leads to systematic fluctuations in relative price and markup dispersion that are not associated with changes in allocative efficiency. Third, pass-through in levels can explain dynamics of industry gross margins, operating profits, and entry in the data that are at odds with workhorse models. Finally, incorporating pass-through in levels into an input-output model of the U.S. economy better matches the volatility of consumer price inflation and the response of inflation to identified shocks.

Abstract We develop a model that integrates modern theories of labor market flows with nominal wage rigidities to study the consequences of inflation on the labor market. Nominal wage stickiness incentivizes workers to engage in job-to-job transitions after an unexpected increase in the price level. Such dynamics lead to a rise in aggregate vacancies associating a seemingly tight labor market with lower real wages—two facts observed during the recent inflation period. The calibrated model jointly matches aggregate and cross-sectional trends in worker flows and wages during the 2021–2024 period. Using historical data, we show that prior periods of high inflation were also associated with increasing vacancies and upward shifts in the Beveridge curve. Our results suggest that policy makers and academics should be cautious about viewing the rise in the vacancy-to-unemployment rate as a sign of a tight labor market during inflationary periods without holistically looking at other labor market indicators.

Abstract We use novel surveys of firms and workers, linked to administrative employer-employee data, to study the prevalence and importance of individual bargaining in wage determination. We show that simple survey questions accurately elicit firms’ bargaining strategies. Using the elicited strategies for 772 German firms, we document that the majority of firms are willing to engage in individual wage bargaining. Labor market factors predict firms’ strategies better than firm characteristics. Survey responses from nearly 10,000 full-time workers indicate that most workers provide their salary expectations before they receive a job offer. Most outside offers are rejected, with the worker remaining at the incumbent firm. There is substantial heterogeneity in workers’ bargaining behavior, which translates into within-firm wage inequality. Firms that set pay via individual bargaining have a 3 percentage point higher gender wage gap.

Abstract This paper uses newly collected data on the allocation of dowry to examine its role in resolving intergenerational frictions around migration in India. Migration disrupts traditional elderly support structures, in which sons live near their parents and care for them in old age. We develop a model in which dowry can promote migration by allowing sons to make upfront transfers to their parents and ease constraints on income sharing. To test this hypothesis, we collect two new data sets that measure the distribution of dowry between family members. We document for the first time that net transfers of dowry to a man’s parents are common but far from universal. Consistent with using dowry for income sharing, such transfers occur more often when sons migrate, especially when they work in higher-earning occupations. In nationally representative data, migration rates are higher in areas with stronger historical dowry traditions. Finally, exploiting a large-scale highway construction program, we show that men from areas with stronger historical dowry traditions migrate more when migration costs fall. Our findings provide some clues as to why dowry persists despite its well-documented adverse consequences.

Abstract Concerns about excessive mobile phone use among youth are mounting. We present estimates of behavioral and contextual peer effects, along with comprehensive evidence on how students’ own and their peers’ app usage affect academic performance, physical health, and labor market outcomes. Our analysis draws on administrative data from a Chinese university covering three student cohorts over four years. We exploit random roommate assignments, differential exposure to a policy shock (gaming restrictions for minors), and differential exposure to a discrete event (the introduction of a blockbuster video game) for identification. App usage is contagious: a one s.d. increase in roommates’ in-college app usage raises own usage by 5.8%. High app usage is harmful across all measured outcomes. A one s.d. increase in app usage reduces GPAs by 36.2% of a within-cohort-major s.d. and lowers wages by 2.3%. Roommates’ app usage reduces a student’s GPA and wages through both disruptions and behavioral spillovers, generating a total negative effect that exceeds half the magnitude of the impact from the student’s own app usage. Extending China’s three-hour-per-week gaming restriction for minors to college students would boost their initial wages by 0.9%. High-frequency GPS and app usage data show that heavy app users spend less time in study halls, are more frequently late or absent from class, and get less sleep.

Abstract This article studies the effects of automation in a task-based economy in which some jobs pay workers rents—wages above workers' outside options. We show that automation targets high-rent tasks, dissipating rents, amplifying wage losses, and reducing within-group wage dispersion in exposed groups. This form of rent dissipation is inefficient and offsets the productivity gains from automation. Using U.S. data from 1980 to 2016, we find evidence of sizable rent dissipation and reduced within-group wage dispersion due to automation. Automation accounts for 52% of the increase in between-group inequality since 1980, with rent dissipation explaining one-fifth of this total. Our estimates imply that inefficient rent dissipation has offset 60%–90% of the productivity gains from automation over this period.