We use a Bayesian Markov Chain Monte Carlo algorithm to estimate a model that allows temporary gaps between a true expectational Phillips curve and the monetary authority's approximating non-expectational Phillips curve. A dynamic programming problem implies that the monetary authority's...

We infer determinants of Latin American hyperinflations and stabilizations by using the method of maximum likelihood to estimate a hidden Markov model that potentially assigns roles both to fundamentals in the form of government deficits that are financed by money creation and to destabilizing...

We develop analytic asymptotic methods to characterize time series properties of nonlinear dynamic stochastic models. We focus on a stochastic growth model which is representative of the models underlying much of modern macroeconomics. Taking limits as the stochastic shocks become small, we...

This paper studies the design of optimal contracts in dynamic environments where agents have private information that is persistent. In particular, I focus on a continuous time version of a benchmark insurance problem where a risk averse agent would like to borrow from a risk neutral lender to...

The Chinese economy has undergone three major phases: the 1978-1997 period marked as the SOE-led economy, the 1998-2015 phase as the investment-driven economy, and the new normal economy since 2016. All three economies have been shaped by the government's financial policies, defined as a set of...

Aggregate housing demand shocks are an important source of house price fluctuations in the standard macroeconomic models, and through the collateral channel, they drive macroeconomic fluctuations. These reduced-form shocks, however, fail to generate a highly volatile price-to-rent ratio that...

Using a novel database of domestic financial reforms in 90 countries over 1973-2014, we document that global financial liberalization followed an S-curve path: reforms were slow and gradual in early periods, accelerated during the 1990s, and slowed down after 2000. We estimate a learning model...

We document four facts about the COVID-19 pandemic worldwide relevant for those studying the impact of non-pharmaceutical interventions (NPIs) on COVID-19 transmission. First: across all countries and U.S. states that we study, the growth rates of daily deaths from COVID-19 fell from a wide...

We study the impacts of the 2009 monetary stimulus and its interaction with infrastructure spending on credit allocation. We develop a two-stage estimation approach and apply it to China's loan-level data that covers all sectors in the economy. We find that except for the manufacturing sector,...

This paper presents a procedure for estimating and forecasting disease scenarios for COVID-19 using a structural SIR model of the pandemic. Our procedure combines the flexibility of noteworthy reduced-form approaches for estimating the progression of the COVID-19 pandemic to date with the...