Knowledge that Transforms

This paper develops a multicountry model of international trade that provides a simple microfoundation for buyer-seller relationships in trade. We explore a rich data set that identifies buyers and sellers in trade and establish a set of basic facts that guide the development of the theoretical model. We use predictions of the model to examine the role of buyer heterogeneity in a market for firm-level adjustments to trade shocks, as well as to quantitatively evaluate how firms’ marginal costs depend on access to suppliers in foreign markets.

Policymakers are often interested in estimating how policy interventions affect the outcomes of those most in need of help. This concern has motivated the practice of disaggregating experimental results by groups constructed on the basis of an index of baseline characteristics that predicts the values of individual outcomes without the treatment. This paper shows that substantial biases may arise in practice if the index is estimated by regressing the outcome variable on baseline characteristics for the full sample of experimental controls. We propose alternative methods that correct this bias and show that they behave well in realistic scenarios.

We investigate how the largest use of time—sleep—affects productivity. Time use data from the United States allow us to test a model in which sleep improves productivity. Consistent with theory, we find sleep is more complementary to home production than to leisure for nonemployed individuals. We then show that later sunset time reduces worker sleep and earnings. After ruling out alternative hypotheses, we implement an instrumental variables specification that provides causal estimates of the impact of sleep on earnings. A 1-hour increase in location-average weekly sleep increases earnings by 1.1% in the short run and 5% in the long run.

This paper tests how a major cap-and-trade program, known as the NOx budget trading program (NBP), affected labor markets in the manufacturing sector. The cap-and-trade program dramatically decreased levels of NOx emissions and added substantial costs to regulated firms. Using a triple-differences approach, I examine how labor markets adjusted in manufacturing industries that were exposed to the program. I find that overall employment in the manufacturing sector dropped by 1.3%, with energy-intensive industries losing up to 4.8%. Employment declines are shown to have occurred primarily through decreased hiring rates rather than increased separation rates, thus mitigating the impact on incumbent workers. Young workers experienced the largest employment declines, and earnings of newly hired workers fell after the regulation began.

This paper employs a unique data set on articles, authors, and editors of the top general interest journals in economics to investigate the role of social connections in the publication process. Ties between editors and authors are identified based on their academic histories. About 43% of the articles published in these journals are authored by scholars connected to one editor at the time of the publication. Ph.D. students and faculty colleagues of an editor also improve their publication outcomes when this editor is in charge of a journal.

Are individuals more sensitive to losses than gains in terms of economic growth? We find that measures of subjective well-being are more than twice as sensitive to negative as compared to positive economic growth. We use Gallup World Poll data from over 150 countries, BRFSS data on 2.3 million US respondents, and Eurobarometer data that cover multiple business cycles over four decades. This research provides a new perspective on the welfare cost of business cycles, with implications for growth policy and the nature of the long-run relationship between GDP and subjective well-being.

Despite dozens of studies, research on crime has struggled to reach consensus about the impact of right-to-carry (RTC) gun laws. With this in mind, we formalize and apply a class of bounded-variation assumptions that flexibly restrict the degree to which outcomes may vary across time and space. Using these assumptions, we present empirical analysis of the effect of RTC laws on violent and property crimes in Virginia, Maryland, and Illinois. Imposing specific assumptions that we believe worthy of consideration, we find that RTC laws increase some crimes, decrease other crimes, and have effects that vary over time for others.

We investigate whether an increase in the potential earnings of men leads to an increase in marriage and a reduction in nonmarital births by exploiting the positive economic shock associated with fracking in the 2000s. A reduced-form analysis reveals that in response to local-area fracking production, which increased wages and jobs for non-college-educated men, both marital and nonmarital birth rates increase, but marriage rates do not. The pattern of results is consistent with positive income effects on births but no associated increase in marriage. We contrast our findings to the Appalachian coal boom experience of the 1970s and 1980s.

We formalize the optimal design of experiments when there is interference between units, i.e. an individual's outcome depends on the outcomes of others in her group. We focus on randomized saturation designs, two-stage experiments that first randomize treatment saturation of a group, then individual treatment assignment. We map the potential outcomes framework with partial interference to a regression model with clustered errors, calculate standard errors of randomized saturation designs, and derive analytical insights about the optimal design. We show that the power to detect average treatment effects declines precisely with the ability to identify novel treatment and spillover effects.

We study the effect of elementary school teachers' beliefs about gender roles on student achievement. We exploit a natural experiment where teachers are prevented from self-selecting into schools, and, conditional on school, students are allocated to teachers randomly. We show that girls who are taught for longer than a year by teachers with traditional gender views have lower performance in objective math and verbal tests, and this effect is amplified with longer exposure to the same teacher. We find no effect on boys. We show that the effect is partly mediated by teachers' transmitting traditional beliefs to girls.