Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning Staff working paper 2022-29 Vladimir Skavysh, Sofia Priazhkina, Diego Guala, Thomas Bromley 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. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C15, C6, C61, C63, C68, C7, E, E1, E13, G, G1, G17, G2, G21 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models
November 17, 2011 Extracting Information from the Business Outlook Survey: A Principal-Component Approach Bank of Canada Review - Autumn 2011 Lise Pichette, Lori Rennison This article reviews recent work that uses principal-component analysis to extract information common to indicators from the Bank of Canada’s Business Outlook Survey (BOS). The authors use correlation analysis and an out-of-sample forecasting exercise to assess and compare the information content of the principal component with that of responses to key individual survey questions on growth in real gross domestic product and in real business investment. Results suggest that summarizing the common movements among BOS indicators may provide useful information for forecasting near-term growth in business investment. For growth in real gross domestic product, however, the survey’s balance of opinion on future sales growth appears to be more informative. Content Type(s): Publications, Bank of Canada Review articles
Canadian housing supply elasticities Staff analytical note 2021-21 Nuno Paixão We explain how housing supply elasticities for Canadian cities are estimated. The procedure we use exploits the systematic differences in various cities’ sensitivity to regional house-price cycles. Content Type(s): Staff research, Staff analytical notes JEL Code(s): R, R1, R14, R3, R31, R5, R52 Research Theme(s): Financial system, Household and business credit, Monetary policy, Real economy and forecasting
Unpacking Moving: A Quantitative Spatial Equilibrium Model with Wealth Staff working paper 2023-34 Elisa Giannone, Qi Li, Nuno Paixão, Xinle Pang We propose a model to understand low observed migration rates by considering the interaction between location and wealth decisions. We look at different policies and find that temporary moving vouchers only slightly increase welfare, while lower housing regulations can decrease the welfare gap by lowering house prices nationwide. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G5, G51, R, R1, R12, R13, R2, R3, R31, R5, R52 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
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. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G2, G21, G24, G3, G32 Research Theme(s): Financial system, Financial institutions and intermediation, Household and business credit, Money and payments, Digital assets and fintech
February 7, 2014 Flexible Inflation Targeting and “Good” and “Bad” Disinflation Remarks Tiff Macklem John Molson School of Business Concordia University Montréal, Quebec Senior Deputy Governor Tiff Macklem discusses flexible inflation targeting and “good” and “bad” disinflation. Content Type(s): Press, Speeches and appearances, Remarks
November 22, 2003 Recent Labour Market Developments in Canada Bank of Canada Review - Autumn 2003 Richard Dion, Bill Laur In the year and a half leading up to mid-2003, both employment and labour force participation increased at an unusually rapid pace compared to domestic economic activity. Gains in employment were unusually large, relative to output growth, compared to gains in total hours worked. This is explained by a faster rate of increase in the participation rate of the 55 and older age group, many of whom opted for part-time employment. This shift in the composition of employment contributed to a reduction in the length of the average workweek in 2002. As a result, labour input progressed at a rate that was markedly slower than for employment and more in line with its historical relationship to output growth. The authors anticipate that the 55 and older age group will continue to participate strongly in the labour force, but that as the economy rebounds and uncertainty diminishes, the cyclical component in the growth of part-time work should diminish and that of full-time employment increase. Employment growth should moderate in relation to output growth and there may be a cyclical rebound in labour productivity as total hours worked increases during the initial recovery in output growth. Content Type(s): Publications, Bank of Canada Review articles
A Portfolio-Balance Model of Inflation and Yield Curve Determination Staff working paper 2020-6 Antonio Diez de los Rios How does the supply of nominal government debt affect the macroeconomy? To answer this question, we propose a portfolio-balance model of the yield curve in which inflation is determined through an interest rate rule. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43, E5, E52, G, G1, G12, H, H6, H63 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Monetary policy tools and implementation
August 15, 2013 Big Data Analysis: The Next Frontier Bank of Canada Review - Summer 2013 Nii Ayi Armah The formulation of monetary policy at the Bank of Canada relies on the analysis of a broad set of economic information. Greater availability of immediate and detailed information would improve real-time economic decision making. Technological advances have provided an opportunity to exploit “big data” - the vast amount of digital data from business transactions, social media and networked computers. Big data can be a complement to traditional information sources, offering fresh insight for the monitoring of economic activity and inflation. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C5, C53, C6, C63, C8, C80
November 19, 2019 Researching the Economic Impacts of Climate Change Miguel Molico The Bank of Canada has a mandate to “promote the economic and financial welfare of Canada,” primarily through the conduct of monetary policy and promotion of a safe, sound and efficient financial system. Understanding the macroeconomic and financial system impacts of climate change and the transition to a low-carbon economy is therefore a priority for the Bank. Content Type(s): Staff research, Other Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting, Structural challenges, Climate change