We model Moore's Law as efficiency of computer producers that rises as a by-product of their experience. We find that (1) Because computer prices fall much faster than the prices of electricity-driven and diesel-driven capital ever did, growth in the coming decades should be very fast, and that...

Over the WTO years, the frequency of disputes and court rulings has trended downwards. Such trends are sometimes interpreted as symptoms of a dispute resolution system in decline. In this paper we propose a theory that can explain these trends as a result of judicial learning; thus according to...

The Taylor rule in combination with the zero lower bound on nominal rates has been shown to create an unintended liquidity-trap equilibrium. The relevance of this equilibrium has been challenged on the basis that it is not stable under least-square learning. In this paper, we show that the...

We study a model of insurgent learning during a counterinsurgency campaign. We test empirical implications of the model using newly declassified microdata documenting improvised explosive devices (IEDs) in Afghanistan from 2006 to 2014. This period was characterized by substantial US investments...

We investigate the role of information frictions in the US labor market using a new nationally representative panel dataset on individuals' labor market expectations and realizations. We find that expectations about future job offers are, on average, highly predictive of actual outcomes. Despite...

This paper analyzes the importance of local interaction between individuals of different linguistic groups for the provision of public goods at the national level. The micro-founded conceptual framework we develop predicts that a country's public goods (i) decrease in its overall linguistic...

We have seen in the past decade a sharp increase in the extent that companies use data to optimize their businesses. Variously called the `Big Data' or `Data Science' revolution, this has been characterized by massive amounts of data, including unstructured and nontraditional data like text and...

An annual flu shot is one of the least controversial and most widely-recommended preventative health measures. In spite of such advice, only a fraction of those who are suggested to get a flu shot actually receive it. We focus on past personal outcomes to understand how individual learning in...

The effect of coworkers on the learning and the productivity of an individual is measured combining theory and data. The theory is a frictional equilibrium model of the labor market in which production and the accumulation of human capital of an individual are allowed to depend on the human...

We examine how a social stigma of seeking information can inhibit learning. Consider a Seeker of uncertain ability who can learn about a task from an Advisor. If higher-ability Seekers need information less, then a Seeker concerned about reputation may refrain from asking to avoid signaling low...