Macroeconomic Predictions Using Payments Data and Machine Learning Staff Working Paper 2022-10 James Chapman, Ajit Desai We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52
Assessing Climate-Related Financial Risk: Guide to Implementation of Methods Technical Report No. 120 Hossein Hosseini Jebeli, Craig Johnston, Craig Logan, Miguel Molico, Xiangjin Shen, Marie-Christine Tremblay A pilot project on climate transition scenarios by the Bank of Canada and the Office of the Superintendent of Financial Institutions assessed climate-related credit and market risks. This report describes the project’s methodologies and provides guidance on implementing them. Content Type(s): Staff research, Technical reports Topic(s): Climate change, Credit and credit aggregates, Econometric and statistical methods, Financial stability JEL Code(s): C, C5, C53, C8, C83, G, G1, G3, G32
Bitcoin Adoption and Beliefs in Canada Staff Working Paper 2021-60 Daniela Balutel, Christopher Henry, Jorge Vásquez, Marcel Voia Using an economic model as well as survey data from the Bank of Canada, we study what factors influence the adoption of Bitcoin in Canada. Content Type(s): Staff research, Staff working papers Topic(s): Digital currencies and fintech, Econometric and statistical methods, Economic models JEL Code(s): D, D8, D83, O, O3, O33
Evaluating the Effects of Forward Guidance and Large-scale Asset Purchases Staff Working Paper 2021-54 Xu Zhang I propose a novel method to identify and estimate the macroeconomic effects of forward guidance and large-scale asset purchases (LSAP) for each FOMC announcement. I find that LSAP is more important than forward guidance in influencing output and inflation. LSAP puts upward pressure on short-term yields, so it should always be used in conjunction with forward guidance. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods, Interest rates JEL Code(s): E, E5, G, G0
Assessing Labour Market Slack for Monetary Policy Staff Discussion Paper 2021-15 Erik Ens, Laurence Savoie-Chabot, Kurt See, Shu Lin Wee Measuring labour market slack is essential for central banks: without full employment in the economy, inflation will not stay close to target. We propose a comprehensive approach to assessing labour market slack that reflects the complexity and diversity of the labour market. Content Type(s): Staff research, Staff discussion papers Topic(s): Business fluctuations and cycles, Coronavirus disease (COVID-19), Econometric and statistical methods, Labour markets, Monetary policy JEL Code(s): E, E2, E24, J, J2, J21, J6
Energy Efficiency and Fluctuations in CO2 Emissions Staff Working Paper 2021-47 Soojin Jo, Lilia Karnizova Carbon dioxide emissions have been commonly modelled as rising and falling with total output. Yet many factors, such as energy-efficiency improvements and shifts to cleaner energy, can break this relationship. We evaluate these factors using US data and find that changes in energy efficiency of consumption goods explain a significant proportion of emissions fluctuations. This finding also implies that models that omit energy efficiency likely overestimate the trade-off between environmental protection and economic performance. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Climate change, Econometric and statistical methods JEL Code(s): E, E3, E32, Q, Q4, Q43, Q5, Q50, Q55
Covariates Hiding in the Tails Staff Working Paper 2021-45 Milian Bachem, Lerby Ergun, Casper G. de Vries We characterize the bias in cross-sectional Hill estimates caused by common underlying factors and propose two simple-to-implement remedies. To test for the presence, direction and size of the bias, we use monthly US stock returns and annual US Census county population data. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C0, C01, C1, C14, C5, C58
Can the characteristics of new mortgages predict borrowers’ financial stress? Insights from the 2014 oil price decline Staff Analytical Note 2021-22 Olga Bilyk, Ken Chow, Yang Xu We study the relationship between characteristics of new mortgages and borrowers’ financial stress in Canada’s energy-intensive regions following the 2014 collapse in oil prices. We find that borrowers with limited home equity were more likely to have difficulty repaying debt. Content Type(s): Staff research, Staff analytical notes Topic(s): Credit and credit aggregates, Econometric and statistical methods, Financial stability, Housing JEL Code(s): C, C2, C25, D, D1, D14, G, G2, G21, G5, G51, R, R2, R21
Fiscal Spillovers: The Case of US Corporate and Personal Income Taxes Staff Working Paper 2021-41 Madeline Hanson, Daniela Hauser, Romanos Priftis How do changes to personal and corporate income tax rates in the United States affect its trading partners? Spillover effects from cuts in the two taxes differ. They are generally small and negative for corporate taxes, but sizable and positive for personal income taxes. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Exchange rate regimes, Fiscal policy, International topics JEL Code(s): E, E3, E32, E6, E62, F, F4, F44, H, H2, H20
Estimating Large-Dimensional Connectedness Tables: The Great Moderation Through the Lens of Sectoral Spillovers Staff Working Paper 2021-37 Felix Brunner, Ruben Hipp Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C2, C22, C5, C52, E, E2, E23, E27