Resolving Failed Banks: Uncertainty, Multiple Bidding & Auction Design
Bank resolution is costly. In the United States, the Federal Deposit Insurance Corporation (FDIC) typically resolves failing banks by auction.
C5 - Econometric Modeling
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Tail Index Estimation: Quantile-Driven Threshold Selection
The most extreme events, such as economic crises, are rare but often have a great impact. It is difficult to precisely determine the likelihood of such events because the sample is small. -
How Oil Supply Shocks Affect the Global Economy: Evidence from Local Projections
We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature. -
Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects
Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals. -
The Trend Unemployment Rate in Canada: Searching for the Unobservable
In this paper, we assess several methods that have been used to measure the Canadian trend unemployment rate (TUR). We also consider improvements and extensions to some existing methods. -
Inference in Games Without Nash Equilibrium: An Application to Restaurants’ Competition in Opening Hours
This paper relaxes the Bayesian Nash equilibrium (BNE) assumption commonly imposed in empirical discrete choice games with incomplete information. Instead of assuming that players have unbiased/correct expectations, my model treats a player’s belief about the behavior of other players as an unrestricted unknown function. I study the joint identification of belief and payoff functions. -
GDP by Industry in Real Time: Are Revisions Well Behaved?
The monthly data for real gross domestic product (GDP) by industry are used extensively in real time both to ground the Bank of Canada’s monitoring of economic activity and in the Bank’s nowcasting tools, making these data one of the most important high-frequency time series for Canadian nowcasting. -
An Alternative Estimate of Canadian Potential Output: The Multivariate State-Space Framework
In this paper, we extend the state-space methodology proposed by Blagrave et al. (2015) and decompose Canadian potential output into trend labour productivity and trend labour input. As in Blagrave et al. (2015), we include output growth and inflation expectations from consensus forecasts to help refine our estimates. -
The Framework for Risk Identification and Assessment
Risk assessment models are an important component of the Bank’s analytical tool kit for assessing the resilience of the financial system. We describe the Framework for Risk Identification and Assessment (FRIDA), a suite of models developed at the Bank of Canada to quantify the impact of financial stability risks to the broader economy and a range of financial system participants (households, businesses and banks). -
Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches
In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model.