When AI prediction substantially resolves trial uncertainty, a party purchasing AI prediction will disclose it if it is in their favour and not otherwise, signalling the outcome to the other party. Thus, the trial outcome becomes common knowledge. However, this implies that the parties will...

It has long been observed that there is little money in U.S. politics compared to the stakes. But what if contributions are not fully observable or non-monetary in nature and thus not easily quantifiable? We study this question with a new data set on the top 1000 donors in U.S. congressional...

We study companies' decisions about holding annual shareholder meetings on-line during the Covid pandemic, and returning to classical in-person meetings post-pandemic. Among S&P 1500 companies, the frequency of virtual meetings shot up from less than 10 percent to more than 80 percent in the...

Career opportunities and expectations shape people's decisions and can diminish over time. In this paper, we study the career implications of automation and robotization using a novel data set of resumes from approximately 16 million individuals from the United States. We calculate the lifetime...

This paper overviews the economics of scientific grants, focusing on the interplay between the inherent uncertainty in research, researchers' incentives, and grant design. Grants differ from traditional market systems and other science and innovation policy tools, such as prizes and patents. We...

Carbon capture, utilization, and storage (CCUS) techniques are vital to decarbonization goals. A CCUS supply chain captures CO₂ and delivers it to a suitable location where CO₂ can either be used or injected deep underground for long-term storage. CCUS projects reduce carbon emissions but...

This paper asks how search costs, limited awareness of schools, misperceptions of schools' attributes, and inaccurate beliefs over unknown schools affect families' search and application decisions in Chile's nation wide school choice process. We combine novel data on search activity with a panel...

Key methodologies used for managing weather risks have relied on the assumption that climate is not changing and that the historic weather record is therefore representative of current risks. Anthropogenic climate change upends this assumption, effectively reducing the information available to...

This paper examines and finds that the answer is likely to be no. The environment examined starts with users who contribute based on their motives to create a public good. Their own actions determine the quality of that public good but also embed a free-rider problem. When AI is trained on that...

We document shifts in investor composition during quantitative tightening, which suggest that investors adjust their portfolios at different speeds. To understand its implications for bond valuation, we develop a general equilibrium model which highlights the dynamic interaction between...