Cash and COVID-19: The impact of the second wave in Canada Staff Discussion Paper 2021-12 Heng Chen, Walter Engert, Marie-Hélène Felt, Kim Huynh, Gradon Nicholls, Daneal O’Habib, Julia Zhu The COVID-19 pandemic significantly increased the demand for cash. Cash in circulation increased sharply from March through December 2020, particularly in the early months of this period. Although use of electronic methods of payment also increased significantly, cash use for payments remains high for low-value transactions and among certain demographic groups. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Bank notes, Central bank research, Coronavirus disease (COVID-19), Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, C9, E, E4, O, O5, O54
Empirical Likelihood Block Bootstrapping Staff Working Paper 2008-18 Jason Allen, Allan Gregory, Katsumi Shimotsu Monte Carlo evidence has made it clear that asymptotic tests based on generalized method of moments (GMM) estimation have disappointing size. The problem is exacerbated when the moment conditions are serially correlated. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C14, C2, C22
Government Debt and Deficits In Canada: A Macro Simulation Analysis Staff Working Paper 1995-4 Tiff Macklem, David Rose, Robert Tetlow This paper examines the macroeconomic implications of rising government debt in Canada and the short-run costs and long-run benefits of stemming the rise. The discussion begins with an evaluation of the long-run consequences of increasing government indebtedness, first based on the simple arithmetic of the government's long-run budget constraint, and then based on simulations of […] Content Type(s): Staff research, Staff working papers Research Topic(s): Fiscal policy
Anticipating changes in bank capital buffer requirements Staff Analytical Note 2025-27 Josef Schroth Time-varying capital buffer requirements are a powerful tool that allow bank regulators to avoid severe financial stress without the cost of imposing very high levels of capital. However, this tool is only effective if banks understand how it is used. I present a model that banks and financial market participants can use to anticipate how time-varying capital buffer requirements change over time. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Business fluctuations and cycles, Credit and credit aggregates, Credit risk management, Financial stability, Financial system regulation and policies JEL Code(s): E, E1, E13, E3, E32, E4, E44
Financial Factors and Labour Market Fluctuations Staff Working Paper 2011-12 Yahong Zhang What are the effects of financial market imperfections on unemployment and vacancies? Since standard DSGE models do not typically model unemployment, they abstract from this issue. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Financial markets, Labour markets JEL Code(s): E, E3, E32, E4, E44, J, J6
A Comprehensive Evaluation of Measures of Core Inflation in Canada: An Update Staff Discussion Paper 2019-9 Helen Lao, Ceciline Steyn We provide an updated evaluation of the value of various measures of core inflation that could be used in the conduct of monetary policy. We find that the Bank of Canada’s current preferred measures of core inflation—CPI-trim, CPI-median and CPI-common—continue to outperform alternative core measures across a range of criteria. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Inflation and prices, Monetary policy framework JEL Code(s): E, E3, E31, E5, E52
The Role of Beliefs in Entering and Exiting the Bitcoin Market Staff Working Paper 2024-22 Daniela Balutel, Christopher Henry, Jorge Vásquez, Marcel Voia We develop a model that links investors’ decisions to enter or exit the Bitcoin market with their beliefs about the survival of Bitcoin. Empirical testing using Canadian data reveals that beliefs strongly influence both entries and exits, and this impact varies with time and ownership status. Content Type(s): Staff research, Staff working papers Research Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): D, D8, D83, E, E4, E41, O, O3, O33
Assessing Indexation-Based Calvo Inflation Models Staff Working Paper 2009-7 Jean-Marie Dufour, Lynda Khalaf, Maral Kichian Using identification-robust methods, the authors estimate and evaluate for Canada and the United States various classes of inflation equations based on generalized structural Calvo-type models. The models allow for different forms of frictions and vary in their assumptions regarding the type of price indexation adopted by firms. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, C13, C5, C52, E, E3, E31
Avoiding the Pitfalls: Can Regime-Switching Tests Detect Bubbles? Staff Working Paper 1996-11 Simon van Norden, Robert Vigfusson Work on testing for bubbles has caused much debate, much of which has focussed on methodology. Monte Carlo simulations reported in Evans (1991) showed that standard tests for unit roots and cointegration frequently reject the presence of bubbles even when such bubbles are present by construction. Evans referred to this problem as the pitfall of testing for bubbles. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C2, C22, C5, C52
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 Research Topic(s): Inflation and prices, Inflation targets JEL Code(s): E, E3, E31, E5, E52