Knowledge that Transforms

We exploit a quasi-natural experiment of military draftees in Russia during World War I to examine the effects of a massive, negative labor shock on agricultural production. Employing a novel district-level panel data set, we find that mass mobilization produces a dramatic decrease in cultivated area. Surprisingly, farms with communal land tenure exhibit greater resilience to the labor shock than private farms. The resilience stems from peasants reallocating labor in favor of the commune because of the increased attractiveness of its nonmarket access to land and social insurance. Our results support an institutional explanation of factor misallocation in agriculture.

Ambiguity attitudes have been prominently used in economic models, but we still know little about their demographic correlates or their generalizability beyond the West. We analyze the ambiguity attitudes of almost 3,000 students across thirty countries. For gains, we find ambiguity aversion everywhere, while ambiguity aversion is much weaker for losses. Ambiguity attitudes change systematically with probabilities for both gains and losses. Much of the between-country variation can be explained through a fewmacroeconomic characteristics. In contrast, we find massive unexplained variation at the individual level. We also find much unexplained heterogeneity in individual responses to different decision tasks. © 2018 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Abstract In speedboat racing in Japan, men and women compete under the same conditions and are randomly assigned to mixed-sex or single-sex groups for each race. We use a sample of over 140,000 individual-level records to examine how male-dominated circumstances affect women’s racing performance. Our fixed-effects estimates reveal that women’s race time is slower in mixed-sex than all-women races, whereas men’s race time is faster in mixed-sex than men-only races. The same result is found for place in race. Moreover, in mixed-sex races, men are more aggressive, as proxied by lane changing, than women in spite of the risk of being penalized for rule infringement.

High-impact policies may not lead to support for the political party that introduces them. In 2008, Uganda’s government encouraged groups of youth to submit proposals to start enterprises. Of 535 eligible groups, a random 265 received grants of nearly $400 per person. Prior work showed that after four years, the Youth Opportunities Program raised employment by 17% and earnings by 38%. Here we show that recipients were no more likely to support the ruling party in elections. Rather, recipients slightly increased campaigning and voting for the opposition. Potential mechanisms include program misattribution, group socialization, and financial independence freeing voters from transactional voting.

The unemployment rate is one of the most important business cycle indicators, but its interpretation can be difficult because slow changes in the demographic composition of the labor force affect the level of unemployment and make comparisons across business cycles difficult. To purge the unemployment rate from demographic factors, labor force shares are routinely used to control for compositional changes. This paper shows that this approach is ill defined, because the labor force share of a demographic group is mechanically linked to that group's unemployment rate, as both variables are driven by the same underlying worker flows. We propose a new demographic-adjustment procedure that uses a dynamic factor model for the worker flows to separate aggregate labor market forces and demographic-specific trends. Using the U.S. labor market as an illustration, our demographic-adjusted unemployment rate indicates that the 2008–2009 recession was much more severe and generated substantially more slack than the early 1980s recession.

This paper investigates the relationship between economic growth and bank concentration. We introduce imperfect competition within the banking system according to the Schumpeterian growth paradigm, and we theoretically and empirically show that the effects of bank concentration on economic growth depend on the proximity to the world technology frontier. The theory predicts that when a country reaches a sufficient level of financial development, bank concentration has a negative effect on development and growth and that this effect increases when the country approaches the frontier. However, for countries with credit constraints, growth depends on only financial intermediation.

In the U.S. Census Bureau’s 2002 and 2007 Censuses of Manufactures, 79% and 73% of observations, respectively, have imputed data for at least one variable used to compute total factor productivity (TFP). The bureau primarily imputes for missing values using mean-imputation methods, which can reduce the underlying variance of the imputed variables. For five variables entering TFP, we show that dispersion is significantly smaller in the Census mean-imputed versus the nonimputed data. We use classification and regression trees (CART) to produce multiple imputations with observed data for similar plants. For 90% of the 473 industries in 2002 and 84% of the 471 industries in 2007, we find that TFP dispersion increases as we move from Census mean-imputed data to nonimputed data to the CART-imputed data.

Abstract Gun violence is an important problem across the United States. However, the impact of government policies on gunfire has been difficult to test due to limited and low-quality data. This paper uses new, more accurate data on gunfire (generated by ShotSpotter audio sensors) to measure the effects of juvenile curfews in Washington, DC. Using variation in the hours of the DC curfew, we find that this policy increases gunfire incidents by 150% during marginal hours. In contrast, voluntarily reported crime measures (such as 911 calls) suggest that the curfew decreases gun violence, likely because of confounding effects on reporting rates.

Exploiting county-level variation in oil-producing areas from shocks to world oil and gas prices, we study how local labor market conditions affect disability take-up. We extend well-known previous work using a similar research design by analyzing a different price shock; a larger, more representative set of labor markets; and a more recent period marked by skyrocketing disability payments. Our estimated elasticity for SSDI payments with respect to earnings of −0.29 is surprisingly similar to earlier findings. Our preferred SSI elasticity estimate of −0.16 is smaller than previous findings, but we show that SSI programmatic changes explain most of the difference.

Local opinion leaders may play a key role in easing information frictions associated with technology adoption. This paper analyzes the influence of physician investigators who lead clinical trials for new cancer drugs. By comparing diffusion patterns across 21 new cancer drugs, we separate correlated regional demand for new technology from information spillovers. Patients in the lead investigator's region are initially 36% more likely to receive the new drug, but utilization converges within four years. We also find that superstar physician authors, measured by trial role or citation history, have broader influence than less prominent authors.