We develop an algorithm to construct approximate decision rules that are piecewise-linear
and continuous for DSGE models with an occasionally-binding constraint. The functional …

Real-world economies can be modeled as a network with many heterogeneous and
strategic agents. In this setting, it is very challenging to find optimal mechanisms, eg, taxes …

We study a novel policy tool—interest rate uncertainty—that can be used to discourage
inefficient capital inflows and to adjust the composition of external accounts between short …

We propose a simple and fast fixed-point iteration algorithm (FiPIt) to obtain the global, non-
linear solution of macro models with two endogenous state variables and occasionally …

Global and local methods used to study open-economy incomplete-markets models yield
different cyclical moments, impulse responses, spectral densities and precautionary savings …

Despite the typically more pronounced aggregate fluctuations in emerging market
economies (EMEs), this paper documents that EMEs exhibit lower relative volatility and …

This thesis develops and rigorously employs tools of quantitative economics to study
questions related to interactions between heterogeneous groups within households …

We study how financial frictions affect the importance of trend productivity shocks for
macroeconomic fluctuations. Using long-run data from 17 small open economies (SOEs), we …

This study estimates a financial friction model and three extensions solved up to the third
order using a Bayesian approach, and compare the estimated model implications for …