Seminar 237/281: Macro/International Seminar - "Optimal Policy with General Signal Extraction"

Seminar | April 30 | 2-4 p.m. | 597 Evans Hall

 Albert Marcet, Professor of Macroeconomics, University College London

 Department of Economics

We study optimal policy when the planner has partial information in a general setup where observed signals are endogenous to policy. In this context, signal extraction and policy have to be determined jointly. We derive a general non-standard first order condition of optimality from first principles and we use it to find numerical solutions. This first order condition allows us to identify widely-used special cases in the literature in which the signal extraction and the optimal decision problems can be solved separately, using the well-known separation principle. Our general setup, which does not feature any separation, is relevant for most available dynamic models in macro. We apply our results to a model of fiscal policy and show that optimal taxes are often a very non-linear function of observed hours, calling for tax smoothing in normal times, but for a strong fiscal reaction to output in a deeper recession. This non-linearity arises because signal extraction interacts differently with optimal policy depending

  RSVP by emailing Joseph G. Mendoza at jgmendoza@berkeley.edu

 jgmendoza@berkeley.edu