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2143 Results

May 16, 2016

Estimating Canada’s Effective Lower Bound

Recently, the Bank of Canada has estimated the effective lower bound (ELB) on its policy interest rate to be about -50 basis points. This article outlines the analysis that underpins that estimate by quantifying the costs of storing and using cash in Canada. It also explores how some international markets have adapted to negative interest rates, issues surrounding their implementation, as well as their transmission to other interest rates in the economy. Finally, it discusses theoretical ideas on how the ELB could be reduced further.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): D, D5, D53, E, E4, E43, E5, E52, E58

Markups and Inflation in Oligopolistic Markets: Evidence from Wholesale Price Data

Staff working paper 2024-20 Patrick Alexander, Lu Han, Oleksiy Kryvtsov, Ben Tomlin
We study how the interaction of market power and nominal price rigidity influences inflation dynamics. We find that pass-through declines with price stickiness when markets are concentrated, which implies a lower slope of the New Keynesian Phillips curve.

Borrow Now, Pay Even Later: A Quantitative Analysis of Student Debt Payment Plans

Staff working paper 2023-54 Michael Boutros, Nuno Clara, Francisco Gomes
We investigate alternative student debt contracts that defer payments and ease the burden of student loans on US households by preserving disposable income early in borrowers’ lives. Our model shows substantial welfare gains from these contracts relative to existing plans and gains similar to the Biden administration's proposals but with a significantly lower cost.

Allocative Efficiency and the Productivity Slowdown

Staff working paper 2021-1 Lin Shao, Rongsheng Tang
In our analysis of the US productivity slowdown in the 1970s and 2000s, we find that a significant portion of this deceleration can be attributed to a lack of improvement in allocative efficiency across sectors. Our analysis further identifies increased sector-level volatility as a major contributor to this lack of improvement in allocative efficiency.

Forecasting Recessions in Canada: An Autoregressive Probit Model Approach

Staff working paper 2024-10 Antoine Poulin-Moore, Kerem Tuzcuoglu
We forecast recessions in Canada using an autoregressive (AR) probit model. The results highlight the short-term predictive power of the US economic activity and suggest that financial indicators are reliable predictors of Canadian recessions. In addition, the suggested model meaningfully improves the ability to forecast Canadian recessions, relative to a variety of probit models proposed in the Canadian literature.

What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data

Staff working paper 2021-52 Alberto Cavallo, Oleksiy Kryvtsov
Did supply disruptions and cost pressures play a role in rising inflation in 2020 during the COVID-19 pandemic? Using data collected from websites of large retailers in multiple sectors and countries, we show that shortages may indicate transitory inflationary pressures.

Supply Shocks in the Fog: The Role of Endogenous Uncertainty

Staff working paper 2026-12 Anastasiia Antonova, Mykhailo Matvieiev, Celine Poilly
Recessions feature elevated uncertainty. We develop a nonlinear imperfect-information New Keynesian model where procyclical information quality generates endogenous countercyclical uncertainty and precautionary saving. This demand channel can overturn the inflationary impact of negative supply shocks, making them deflationary, unless monetary policy stabilizes the output gap.

Do Canadian Broker-Dealers Act as Agents or Principals in Bond Trading?

Staff analytical note 2017-11 Daniel Hyun, Jesse Johal, Corey Garriott
Technology, risk tolerance and regulation may influence dealers to reduce their trading as principals (using their own balance sheets for sales and purchases of securities) in favour of agency trading (matching client trades).

Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning

Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.
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