Advances in artificial intelligence (A.I.) are a double-edged sword. On the one hand, they may increase economic growth as A.I. augments our ability to innovate. On the other hand, many experts worry that these advances entail existential risk: creating a superintelligence misaligned with human...

The fiscal theory of the price level (FTPL) has been active for 30 years, and the interest in this theory grew with the recent global surges in inflation and government spending. This study applies the FTPL to 37 OECD countries for 2020-2022. The theory's centerpiece is the government's...

Despite the dominance of retail investors in the Chinese stock market, there's a conspicuous absence of price momentum in weekly and monthly returns. This study uncovers the presence of price momentum in daily returns and, through a systematic analysis of trading heterogeneity among investors,...

Empirical studies have found that enhanced foreign competition can encourage or discourage innovation. To address this relationship, I examine a market structure in which a small number of large multi-product oligopolists compete with a large number of small single-product firms in the same...

Coal heating in residential homes is an important source of indoor air pollution, leading to detrimental health effects. We conduct a randomized field experiment in northern China using three types of SMS campaigns targeting three potential biases that may hinder the adoption of electric...

Difference-in-Difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no...

This paper examines the relationship between extreme socioeconomic disadvantage and poor health by providing the first detailed and accurate picture of mortality patterns among people experiencing homelessness in the U.S. Our analyses center on 140,000 people who were sheltered or unsheltered...

This paper examines whether publication data matched to the Survey of Doctorate Recipients can be used for research purposes. We use Gold Standard data created to validate the publication match quality and compare these measures to publications assigned by a machine-learning algorithm developed...

We compare the behavior and welfare effects of two popular interventions for resource conservation. The first intervention is social comparison reports (SC), which primarily provide consumers with information motivating behavioral change. The second intervention is real-time feedback (RTF),...

We develop measures of labor-saving and labor-augmenting technology exposure using textual analysis of patents and job tasks. Using US administrative data, we show that both measures negatively predict earnings growth of individual incumbent workers. While labor-saving technologies predict...