Knowledge that Transforms

This paper argues that factor demand linkages can be important for the transmission of both sectoral and aggregate shocks. We show this using a panel of highly disaggregated manufacturing sectors together with sectoral structural VARs. When sectoral interactions are explicitly accounted for, a contemporaneous technology shock to all manufacturing sectors implies a positive response in both output and hours at the aggregate level. Otherwise there is a negative correlation, as in much of the existing literature. Furthermore, we find that technology shocks are important drivers of the business cycle.

In December 2003, the Brazilian Congress passed a law that led to a natural personal lending experiment. The law allows banks to offer loans with repayment through automatic payroll deduction, which, in effect, turns future income into collateral. We estimate the impact of the new law using auto loans as a control group. The law has caused a reduction in interest rates and an increase in the volume of personal credit.

Concert tickets can be sold at the same price or at different prices that reflect different seating categories. Price discrimination generates about 5% greater revenues than single-price ticketing. The return to price discrimination is higher in markets with greater demand heterogeneity, as predicted by price discrimination theory. The return to an increase from three to four concert seat categories is roughly half that of an increase from one to two.

In this paper, we propose a new family of multivariate loss functions to test the rationality of vector forecasts without assuming independence across variables. When only one variable is of interest, the loss function reduces to the flexible asymmetric family proposed by Elliott, Komunjer, and Timmerman (2008). Following their methodology, we derive~a GMM test for multivariate forecast rationality that allows the forecaster's loss to be nonseparable across variables and takes into account forecast estimation uncertainty. We use our test to study the joint rationality of macroeconomic forecasts in the growth rate of nominal output, CPI inflation rate, and short-term interest rate.

We compare the most common reduced-form models used for emissions forecasting, point out shortcomings, and suggest improvements. Using a U.S. state-level panel data set of CO2 emissions, we test the performance of existing models against a large universe of potential reduced-form models. We find that leading models in the literature, as well as models selected based on an emissions per capita loss measure or different in-sample selection criteria, perform significantly worse compared to the best model chosen based directly on the out-of-sample loss measure defined over aggregate emissions.

Empirically, a higher frequency of lightning strikes is associated with slower growth in labor productivity across the 48 contiguous U.S. states after 1990; before 1990, there is no correlation between growth and lightning. Other climate variables (e.g., temperature, rainfall, and tornadoes) do not conform to this pattern. A viable explanation is that lightning influences IT diffusion. By causing voltage spikes and dips, a higher frequency of ground strikes leads to damaged digital equipment and thus higher IT user costs. Accordingly, the flash density (strikes per square kilometer per year) should adversely affect the speed of IT diffusion. We find that lightning indeed seems to have slowed IT diffusion, conditional on standard controls. Hence, an increasing macroeconomic sensitivity to lightning may be due to the increasing importance of digital technologies for the growth process.

In this paper, we investigate the comparative properties of empirically estimated monetary models of the U.S. economy using a new database of models designed for such investigations. We focus on three representative models due to Christiano, Eichenbaum, and Evans (2005), Smets and Wouters (2007), and Taylor (1993a). Although these models differ in terms of structure, estimation method, sample period, and data vintage, we find surprisingly similar economic impacts of unanticipated changes in the federal funds rate. However, optimized monetary policy rules differ across models and lack robustness. Model averaging offers an effective strategy for improving the robustness of policy rules.

We investigate whether experimental subjects can predict behavior in a prisoner's dilemma played on a TV show. Subjects report probabilistic beliefs that a player cooperates, before and after the players communicate. Subjects correctly predict that women and players who make a voluntary promise are more likely to cooperate. They are able to distinguish truth from lies when a player is asked about her intentions by the host. Subjects are to some extent able to predict behavior; their beliefs are 7~percentage points higher for cooperators than for defectors. We also study their Bayesian updating. Beliefs do not satisfy the martingale property and display mean reversion.

We investigate how the link between individual schooling and political participation is affected by country characteristics. Using individual survey data, we find that political participation is more responsive to schooling in land-abundant countries and less responsive in human capital–abundant countries, even while controlling for country political institutions and cultural attitudes. We find related evidence that political participation is less responsive to schooling in countries with a higher skill premium, as well as within countries for individuals in skilled occupations. The evidence motivates a theoretical explanation in which patterns of political participation are influenced by the opportunity cost of engaging in political rather than production activities.

We examine the relation between pay-performance sensitivity (PPS), the convexity of managerial compensation (Vega), and future stock risk and returns for a large sample of firms between 1992 and 2004. Higher PPS and Vega are both associated with lower future stock returns. Part of this negative relation can be explained by risk-averse managers decreasing equity risk in response to increases in PPS and Vega. However, even after correcting for lower future risk, future stock returns are negatively associated with the magnitude of option sensitivity. This finding is consistent with previous studies that link high option compensation to manager-owner agency problems.