We study the design of optimal monetary policy under uncertainty in a dynamic stochastic general equilibrium models. We use a Markov jump-linear-quadratic (MJLQ) approach to study policy design, approximating the uncertainty by different discrete modes in a Markov chain, and by taking...

We partnered with the Ghanaian government to test simultaneously four methods of increasing achievement in schools with low and heterogeneous student achievement| assistant led remedial pull-out lessons, assistant led remedial after school lessons, assistant led smaller class sizes, or teacher...

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...

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 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...