March 28, 2005 The Thiessen Lectures Lectures delivered by Gordon G. Thiessen, Governor of the Bank of Canada 1994 to 2001 Content Type(s): Publications, Books and monographs
Optimal Estimation of Multi-Country Gaussian Dynamic Term Structure Models Using Linear Regressions Staff working paper 2017-33 Antonio Diez de los Rios This paper proposes a novel asymptotic least-squares estimator of multi-country Gaussian dynamic term structure models that is easy to compute and asymptotically efficient, even when the number of countries is relatively large—a situation in which other recently proposed approaches lose their tractability. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43, F, F3, F31, G, G1, G12, G15 Research Theme(s): Financial markets and funds management, International markets and currencies, Models and tools, Econometric, statistical and computational methods, Economic models
November 19, 2015 Bank of Canada Review - Autumn 2015 In this issue, Bank researchers discuss the muted recovery from the 2007–09 financial crisis and possible causes. There are also discussions about the Bank’s new Canadian survey of household expectations, measuring both durable goods and housing prices in the CPI and how regulatory changes may affect monetary policy operating frameworks. In the final article, improvements to the management of Canada’s foreign exchange reserves are introduced. Content Type(s): Publications, Bank of Canada Review
Sectoral Uncertainty Staff working paper 2022-38 Efrem Castelnuovo, Kerem Tuzcuoglu, Luis Uzeda We propose a new empirical framework that jointly decomposes the conditional variance of economic time series into a common and a sector-specific uncertainty component. We apply our framework to a disaggregated industrial production series for the US economy. We identify unexpected changes in durable goods uncertainty as drivers of downturns, while unexpected hikes in non-durable goods uncertainty are expansionary. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C51, C55, E, E3, E32, E4, E44 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Understanding DeFi Through the Lens of a Production-Network Model Staff working paper 2023-42 Jonathan Chiu, Thorsten Koeppl, Hanna Yu, Shengxing Zhang We develop a production-network model to capture how decentralized finance (DeFi) has evolved across different sectors of financial services. The model allows us to measure the value added by different DeFi sectors and to study how the connections across the sectors influence token prices. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G2 Research Theme(s): Models and tools, Economic models, Money and payments, Digital assets and fintech
Identifying Aggregate Shocks with Micro-level Heterogeneity: Financial Shocks and Investment Fluctuation Staff working paper 2020-17 Xing Guo This paper identifies aggregate financial shocks and quantifies their effects on business investment based on an estimated DSGE model with firm-level heterogeneity. On average, financial shocks contribute only 3% of the variation in U.S. public firms’ aggregate investment. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E1, E12, E2, E22, G, G3, G31, G32 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Monetary Policy, Credit Constraints and SME Employment Staff working paper 2022-49 Julien Champagne, Émilien Gouin-Bonenfant We revisit an old question: how do financial constraints affect the transmission of monetary policy to the real economy? To answer this question, we propose a simple empirical strategy that combines firm-level employment and balance sheet data, identified monetary policy shocks and survey data on financing activities. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E3, E4, E43, E5, E52, G, G3 Research Theme(s): Financial system, Household and business credit, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Extreme Weather and Low-Income Household Finance: Evidence from Payday Loans Staff working paper 2024-1 Shihan Xie, Victoria Wenxin Xie, Xu Zhang This paper explores the impact of extreme weather exposures on the financial outcomes of low-income households. Our findings highlight the heightened financial vulnerability of low-income households to environmental shocks and underscore the need for targeted policies. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G5, Q, Q5, Q54 Research Theme(s): Financial system, Household and business credit, Structural challenges, Climate change
Online Privacy and Information Disclosure by Consumers Staff working paper 2019-22 Shota Ichihashi A consumer discloses information to a multi-product seller, which learns about the consumer’s preferences, sets prices, and makes product recommendations. While the consumer benefits from accurate product recommendations, the seller may use the information to price discriminate. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D82, D83 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Economic models, Structural challenges, Digitalization and productivity
August 16, 2012 Measurement Bias in the Canadian Consumer Price Index: An Update Bank of Canada Review - Summer 2012 Patrick Sabourin The consumer price index (CPI) is the most commonly used measure to track changes in the overall level of prices. Since it departs from a true cost-of-living index, the CPI is subject to four types of measurement bias—commodity substitution, outlet substitution, new goods and quality adjustment. The author updates previous Bank of Canada estimates of measurement bias in the Canadian CPI by examining these four sources of potential bias. He finds the total measurement bias over the 2005–11 period to be about 0.5 percentage point per year, consistent with the Bank’s earlier findings. Slightly more than half of this bias is caused by the fixed nature of the CPI basket of goods and services. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E3, E31, E5, E52