In this paper we propose a novel methodology to analyze optimal policies under model uncertainty in micro-founded macroeconomic models. As an application we assess the relevant sources of uncertainty for the optimal conduct of monetary policy within (parameter uncertainty) and across models...

Empirical Welfare Maximization (EWM) is a framework that can be used to select welfare program eligibility policies based on data. This paper extends EWM by allowing for uncertainty in estimating the budget needed to implement the selected policy, in addition to its welfare. Due to the...

We study the welfare implications of self-fulfilling bank runs and liquidity requirements, in a growth model where banks, facing persistent possible runs, can choose in any period a run-proof asset portfolio. In this framework, runs distort banks' insurance provision against idiosyncratic...

We investigate the role of a class of alternative market structures known as electronic crossing networks or "dark pools''. Relative to traditional "lit'' markets, dark pools offer investors the trade-off of reduced transaction costs in exchange for greater uncertainty of trade. Our paper...