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2191 Results

Partial Identification of Heteroskedastic Structural Vector Autoregressions: Theory and Bayesian Inference

Staff working paper 2025-14 Helmut Lütkepohl, Fei Shang, Luis Uzeda, Tomasz Woźniak
We consider structural vector autoregressions that are identified through stochastic volatility. Our analysis focuses on whether a particular structural shock can be identified through heteroskedasticity without imposing any sign or exclusion restrictions.

The aggregate and heterogeneous effects of responding to shelter inflation

Staff analytical paper 2026-5 Michael Irwin, Matías Vieyra
This note examines how monetary policy responses to shelter inflation affect both the overall economy and different households. We find that the aggregate macroeconomic effects of responding to shelter inflation are modest, whereas the redistributive consequences across households are substantially larger.

Price Discounts and Cheapflation During the Post-Pandemic Inflation Surge

Staff working paper 2024-31 Alberto Cavallo, Oleksiy Kryvtsov
We study how price variation within a store changes with inflation, and whether households exploit these changes to reduce the burden of inflation. We find that price changes from discounts mitigated the inflation burden while cheapflation exacerbated it.

Inference in Games Without Nash Equilibrium: An Application to Restaurants’ Competition in Opening Hours

Staff working paper 2018-60 Erhao Xie
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.

A Dynamic Factor Model for Commodity Prices

Staff analytical note 2017-12 Doga Bilgin, Reinhard Ellwanger
In this note, we present the Commodities Factor Model (CFM), a dynamic factor model for a large cross-section of energy and non-energy commodity prices. The model decomposes price changes in commodities into a common “global” component, a “block” component confined to subgroups of economically related commodities and an idiosyncratic price shock component.

Potential output in Canada: 2026 assessment

Growth in potential output is expected to drop from 2.3% in 2025 to 1.2% in 2026 given slowing population growth, US tariffs and trade policy uncertainty. It is then estimated to pick up to an average of 1.5% over 2027–29 as strengthening business and government investment supports trend labour productivity (TLP). Gradual adoption of artificial intelligence is also expected to lift TLP growth over the projection horizon.

From LVTS to Lynx: Quantitative Assessment of Payment System Transition

We quantitatively assess the changes in participants’ payment behaviour from modernizing Canada's high-value payments system to Lynx. Our analysis suggests that Lynx's liquidity-saving mechanism encourages liquidity pooling and early payments submission, resulting in improved efficiency for participants but with slightly increased payment delays.

Did the Renewable Fuel Standard Shift Market Expectations of the Price of Ethanol?

Staff working paper 2017-35 Christiane Baumeister, Reinhard Ellwanger, Lutz Kilian
It is commonly believed that the response of the price of corn ethanol (and hence of the price of corn) to shifts in biofuel policies operates in part through market expectations and shifts in storage demand, yet to date it has proved difficult to measure these expectations and to empirically evaluate this view.

Crowdfunding and Risk

Staff working paper 2023-28 David Cimon
Crowdfunding may enable unique products to reach the consumer market. I model a crowdfunding technology that publicly screens consumer demand early in the production process. In this model, entrepreneurs like crowdfunding for risky projects where demand is uncertain, but not for large, safe projects or for projects where production costs are uncertain.
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