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This paper studies the interdependence between fiscal and monetary policy in a DSGE model with sticky prices and non-zero trend inflation. We characterize the fiscal and monetary policies by a rule whereby a given fraction k of the government debt must be backed by the discounted value of current and future primary surpluses.

Models with default options are hard to solve. We propose an extension of the endogenous grid method that solves default risk models more efficiently and accurately.

From 1980 until 2007, U.S. average hours worked increased by thirteen percent, due to a large increase in female hours. At the same time, the U.S. labor wedge, measured as the discrepancy between a representative household's marginal rate of substitution between consumption and leisure and the marginal product of labor, declined substantially.

The authors analyze exchange rate pass-through in an estimated structural model of a small open economy that incorporates three types of nominal rigidity (wages and the prices of domestically produced and imported goods) and eight different structural shocks. The model is estimated using quarterly data from Canada and the United States.

We study the interaction between epidemics and economic decisions in a model that has silent transmission of the virus. We find that rational behaviour strongly diminishes the severity of the epidemic but worsens the economic recession. We also find that the detection and isolation of not only symptomatic individuals but also those who are infected and asymptomatic or mildly symptomatic can reduce the severity of the recession caused by the pandemic.

This paper develops a multi-sector New Keynesian model of a small open economy that includes commodity, manufacturing, non-tradable, and import sectors. Price and wage rigidities are sector specific, modelled à la Calvo-Yun style contracts.

Historical narratives typically associate financial crises with credit expansions and asset price misalignments. The question is whether some combination of measures of credit and asset prices can be used to predict these events.

This article examines what market conditions lead to extreme losses in global financial systems. Using a reverse stress testing approach, it introduces two measures of systemic risk by starting from the tail losses and working backward to identify the events most closely associated with them.

Standard monetary models adopt an infinite horizon with discounting. Testing these models in the lab requires implementing this horizon within a limited time frame. We compare three approaches to such an implementation and discuss their relative advantages.

We introduce a new framework that facilitates term structure modeling with both positive interest rates and flexible time-series dynamics but that is also tractable, meaning amenable to quick and robust estimation.