We propose a novel framework to analyze how policy-makers can manage risks to the median projection and risks specific to the tail of gross domestic product (GDP) growth. By combining a quantile regression of GDP growth with a vector autoregression, we show that monetary and macroprudential...

We study the revision properties of the Bank of Canada's staff output gap estimates since the mid-1980s. Our results suggest that the average staff output gap revision has decreased significantly over the past 15 years, in line with recent evidence for the U.S. Alternatively, revisions from...

Although the concept of monetary policy lag has historical roots deep in the monetary economics literature, relatively little attention has been paid to the idea. In this paper, we build on Svensson's (1997) inflation targeting framework by explicitly taking into account the lagged effect of...

The inflation targeting (IT) regime is 17 years old. With practice of IT now in more than 21 countries, there is enough evidence gathered to take stock of the IT experience. In this paper, we analyze the inflation record of IT central banks. We extend the work of Albagli and Schmidt-Hebbel...

The days when secrecy and opacity were the bywords of central banking are gone. The advent of inflation targeting in the early 1990s acted as the catalyst for enhanced transparency and communications in the conduct of monetary policy. In the wake of the 2007 - 09 global financial crisis, this...

Combining the high-frequency multidimensional approach of Gürkaynak et al. (2005) with Greenbook measures of the Federal Reserve's information set as in Romer and Romer (2004), I propose a new method of constructing a monetary policy shock that occurs on Federal Reserve announcement days. I...

We model bank management actions in severe stress test conditions using a game-theoretical framework. Banks update their balance sheets to strategically maximize risk-adjusted returns to shareholders given three regulatory constraints and feedback effects related to fire sales, interactions of...

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 propose and estimate a dynamic and individual model of expectations formation that links individual consumers’ inflation expectations to their own lagged forecasts as well as proxies for the rational expectation forecasts. The model builds on the existing rational inattention literature and...