I’m a PhD candidate in economics at MIT. Before that, I studied economics and philosophy at Pontificia Universidad Católica de Chile. I work on monetary economics and macro-finance, with a focus on optimal policy design in the presence of information frictions.
Working Papers
Forward Guidance for Skeptical Markets [PDF] [SSRN]
This paper develops a theory of forward guidance that captures two key features of central bank communication: announcements are not fully state-contingent, and the private sector is wary of policy mistakes. The central bank tailors announcements along two dimensions: (i) vagueness—how tightly the announcement constrains future policy; and (ii) data dependence—how aggressively future policy responds to a public signal of the economy. Three main lessons emerge. First, uncertainty affects communication differently depending on its source: uncertainty about both demand and cost-push shocks increases optimal vagueness, but only demand-side uncertainty increases the optimal degree of data dependence. Second, strict rules are costly: fully precise guidance entails sizable welfare losses that grow with the steepness of the Phillips curve. Third, because of the stabilizing role of announcements, optimal forward guidance differs sharply from simply communicating the best forecast of the future optimal policy rate (Delphic guidance).
Pre-Doctoral Work
Expropriation: A Mechanism Design Approach (MA thesis, 2019) [PUC Chile Repository]
A mechanism-design analysis of cost-minimizing procurement from multiple firms with private convex costs, motivated by buying back pollution permits. The thesis characterizes the optimal mechanism and a simpler “sequentially optimal” alternative that runs procurement sequentially—so offers need not depend on the private information of all other firms at once—and finds numerically that the sequentially optimal mechanism is near-optimal, while sequential posted prices perform much worse.