Knowledge that Transforms

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 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.

We propose a new model for measuring uncertainty and its effects on the economy, based on a large vector autoregression with stochastic volatility driven by common factors representing macroeconomic and financial uncertainty. The uncertainty measures reflect changes in both the conditional mean and volatility of the variables, and their impact on the economy can be assessed within the same framework. Estimates with U.S. data show substantial commonality in uncertainty, with sizable effects of uncertainty on key macroeconomic and financial variables. However, historical decompositions show a limited role of uncertainty shocks in macroeconomic fluctuations.

We document the extent of measurement errors in the basic data set on police used in the literature on the effect of police on crime. Analyzing medium to large U.S. cities over 1960 to 2010, we obtain measurement error-corrected estimates of the police elasticity. The magnitudes of our estimates are similar to those obtained in the quasi-experimental literature, but our approach yields much greater parameter certainty for the most costly crimes, the key parameters for welfare analysis. Our analysis suggests that U.S. cities are substantially underpoliced.

We analyze for the first time the economic contributions of modern industrial robots, which are flexible, versatile, and autonomous machines. We use novel panel data on robot adoption within industries in seventeen countries from 1993 to 2007 and new instrumental variables that rely on robots’ comparative advantage in specific tasks. Our findings suggest that increased robot use contributed approximately 0.36 percentage points to annual labor productivity growth, while at the same time raising total factor productivity and lowering output prices. Our estimates also suggest that robots did not significantly reduce total employment, although they did reduce low-skilled workers’ employment share.

Few economists are aware of a wonderful problem. While climatologists claimed it first, the twists and turns make- the problem appear almost as if it were devised to show off the tools and controversies of microeconomics. Even more astounding is the fact that such an abstract, long-term problem excites the interest of the general public and media, and even politicians who desire more resources 1O be spent on research.

The cost of government regulation of the automobile has been the subject of heated controversy since its inception in the mid- 1960's. Much of this controversy has centered on the costs and benefits of individual regulations, but there has been little attention paid to the overall effect of emissions and safety regulation. In this paper, we attempt to measure the effect of these regulatory policies upon the consumer cost of owning and operating an automobile.

Explanations of inflation can be subdivided into two major groups. "Sociological theories" assert that movements of prices and wages proceed independently of market conditions. Economic theories on the other hand elaborate the essential dependence of price-wage movements on evolving market conditions. Sociological theories, dominant in Europe, emphasize the role of a wide array of institutional arrangements. In contrast, according to economic theory all forces and events affect inflation via market processes