The paper explores the macroeconomic consequences of fiscal consolidations whose timing and composition - either tax- or spending-based - are uncertain. We find that the composition of the fiscal consolidation, its duration, the monetary policy stance, the level of government debt, and...

Non-bank financial institutions, such as principal-trading firms and hedge funds, increasingly compete with bank-owned dealers in fixed-income markets. Some market participants worry that if non-bank financial institutions push out established bank dealers, liquidity will become unreliable...

I develop a methodology for Bayesian estimation of globally solved, non-linear macroeconomic models. A novel feature of my method is the use of a mixture density network to approximate the distribution of initial states. I use the methodology to estimate a medium-scale, two-agent New Keynesian...

Computational methods both open the frontiers of economic analysis and serve as a bottleneck in what can be achieved. Using the quantum Monte Carlo (QMC) algorithm, we are the first to study whether quantum computing can improve the run time of economic applications and challenges in doing so....

We introduce bounded rationality, along the lines of Gabaix (2020), in a canonical New Keynesian model calibrated to match Canadian macroeconomic data since Canada's adoption of inflation targeting. We use the model to provide a quantitative assessment of the macroeconomic impact of flexible...

How do households respond to unanticipated income shocks? I build and estimate a quantitative model of bounded rationality in which reoptimization is costly. Households respond to windfall income shocks by choosing a finite planning horizon over which to reoptimize. The optimal horizon is...

We introduce behavioral learning equilibria (BLE) into a multi-variate linear framework and apply it to New Keynesian DSGE models. In a BLE, boundedly rational agents use simple but optimal first-order autoregressive (AR(1)) forecasting rules whose parameters are consistent with the observed...