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3035 Results

Assessing tariff pass-through to consumer prices in Canada: Lessons from 2018

Staff Analytical Note 2025-18 Alexander Lam
US trade protectionism is making the economic outlook increasingly uncertain. To assess how consumer prices may respond to tariffs, we examine a tariff episode from 2018 using detailed microdata and the synthetic control method.

Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks

Staff Working Paper 2025-10 Zhentong Lu, Kenichi Shimizu
We propose a novel approach to estimating consumer demand for differentiated products. We eliminate the need for instrumental variables by assuming demand shocks are sparse. Our empirical applications reveal strong evidence of sparsity in real-world datasets.
December 18, 2006

A Summary of the Bank of Canada Conference on Fixed-Income Markets, 3–4 May 2006

The Bank of Canada's interest in fixed-income markets spans several of its functional areas of responsibility, including monetary policy, funds management, and financial system stability and efficiency. For that reason, the 2006 conference brought together top academics and central bankers from around the world to discuss leading-edge work in the field of fixed-income research. The papers and discussions cover such topics as the efficiency of fixed-income markets, price formation, the determinants of the yield curve, and volatility modelling. This article provides a short summary of each conference paper and the ensuing discussion.

The Impact of Bankruptcy Reform on Insolvency Choice and Consumer Credit

Staff Working Paper 2016-26 Jason Allen, Kiana Basiri
We examine the impact of the 2009 amendments to the Canadian Bankruptcy and Insolvency Act on insolvency decisions. Rule changes steered debtors out of division I proposals and into the more cost-effective division II proposals.

Managing GDP Tail Risk

Staff Working Paper 2020-3 Thibaut Duprey, Alexander Ueberfeldt
Models for macroeconomic forecasts do not usually take into account the risk of a crisis—that is, a sudden large decline in gross domestic product (GDP). However, policy-makers worry about such GDP tail risk because of its large social and economic costs.

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.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Productivity JEL Code(s): E, E2, E23, O, O4, O47

Deriving Agents' Inflation Forecasts from the Term Structure of Interest Rates

Staff Working Paper 1995-1 Christopher Ragan
In this paper, the author uses the term structure of nominal interest rates to construct estimates of agents' expectations of inflation over several medium-term forecast horizons. The Expectations Hypothesis is imposed together with the assumption that expected future real interest rates are given by current real rates. Under these maintained assumptions, it is possible to […]

Local Labor Markets in Canada and the United States

Staff Working Paper 2019-12 David Albouy, Alex Chernoff, Chandler Lutz, Casey Warman
We examine local labor markets in the United States and Canada from 1990 to 2011 using comparable household and business data. Wage levels and inequality rise with city population in both countries, albeit less in Canada.
Content Type(s): Staff research, Staff working papers Research Topic(s): Labour markets JEL Code(s): J, J2, J21, J3, J31, J6, J61, N, N3, N32, R, R1, R12

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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