Technology Adoption in Input-Output Networks Staff working paper 2019-51 Xintong Han, Lei Xu We study how input-output networks affect the speed of technology adoption. In particular, we model the decision to adopt the programming language Python 3 by software packages. Python 3 provides advanced features but is not backward compatible with Python 2, which implies it comes with adoption costs. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, L, L2, L23, L8, L86, O, O1, O14, O3, O33 Research Theme(s): Models and tools, Economic models, Structural challenges, Digitalization and productivity
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 JEL Code(s): E, E3, E32, Q, Q4, Q43, Q5, Q50, Q55 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Structural challenges, Climate change
May 13, 2014 The Art and Science of Forecasting the Real Price of Oil Bank of Canada Review - Spring 2014 Christiane Baumeister Forecasts of the price of crude oil play a significant role in the conduct of monetary policy, especially for commodity producers such as Canada. This article presents a range of recently developed forecasting models that, when pooled together, can generate, on average, more accurate forecasts of the price of oil than the oil futures curve. It also illustrates how policy-makers can evaluate the risks associated with the baseline oil price forecast and how they can determine the causes of past oil price fluctuations. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C5, C53, E, E3, E32, Q, Q4, Q43
Reconciling the Differences in Aggregate U.S. Wage Series Staff working paper 2016-1 Julien Champagne, André Kurmann, Jay Stewart Average hourly real wage series from the Labor Productivity and Costs (LPC) program and the Current Employment Statistics (CES) program have evolved very differently over the past decades. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E0, E01, E2, E24, E3, E30, J, J3, J30 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Borrowing Costs for Government of Canada Treasury Bills Staff analytical note 2019-28 Jabir Sandhu, Adrian Walton, Jessica Lee The cost of borrowing Government of Canada treasury bills (t-bills) in the repurchase (repo) market is mainly explained by the relationship between the parties involved. Some pairs of parties conduct most of their repos for t-bills rather than bonds, and at relatively high borrowing costs. We speculate that these pairs have formed a mutually beneficial service relationship in which one party consistently receives t-bills, while the other receives cash at a relatively cheap rate. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G10, G11, G12, G2, G20, G21, G23, G3, G32 Research Theme(s): Financial markets and funds management, Funds management, Market functioning
Markets Look Beyond the Headline Staff analytical note 2018-37 Bruno Feunou, James Kyeong, Raisa Leiderman Many reports and analyses interpret the release of new economic data based on the headline surprise—for instance, total inflation, real GDP growth and the unemployment rate. However, we find that headline news alone cannot adequately explain the responses of market prices to new information. Rather, market prices react more strongly, on average, to non-headline news such as the composition of GDP growth, quality of jobs created and revisions to past data. Thus, tracking the impact of non-headline information released on the news day is crucial in analyzing how markets interpret and react to new economic data. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E4, E43, G, G1, G12, G14 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Monetary policy framework and transmission
September 15, 2008 The Bank of Canada's Senior Loan Officer Survey Bank of Canada Review - Autumn 2008 Umar Faruqui, Paul Gilbert, Wendy Kei The Bank of Canada maintains regular contact with financial institutions as part of the information-gathering process that feeds into the larger set of information used to arrive at its monetary policy decision. Since 1999, the Bank has been conducting a quarterly survey of the business-lending practices of major Canadian financial institutions. Analysis of the information collected shows that it is correlated with future growth in both credit and business investment. This article focuses on how the survey is conducted and describes the construction of the summary statistics, highlighting the key statistical relationships in the historical survey data. Content Type(s): Publications, Bank of Canada Review articles
Central Bank Digital Currency and Banking: Macroeconomic Benefits of a Cash-Like Design Staff working paper 2021-63 Jonathan Chiu, Mohammad Davoodalhosseini Should a CBDC be more like cash or bank deposits? An interest-bearing, cash-like CBDC not only makes payments more efficient but also increases total demand. This has positive effects on other transactions, inducing more deposit taking and lending and, thus, bank intermediation. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E50, E58 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy framework and transmission, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
A Look Inside the Box: Combining Aggregate and Marginal Distributions to Identify Joint Distributions Staff working paper 2018-29 Marie-Hélène Felt This paper proposes a method for estimating the joint distribution of two or more variables when only their marginal distributions and the distribution of their aggregates are observed. Nonparametric identification is achieved by modelling dependence using a latent common-factor structure. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, D, D1, D14, E, E4, E41 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes
Measuring household financial stress in Canada using consumer surveys Staff analytical note 2024-5 Nicolas Bédard, Patrick Sabourin We use data from the Canadian Survey of Consumer Expectations to understand how households are coping with high inflation and high interest rates. We build a subjective measure of financial stress and find that the level of stress is at a historical high but remains manageable for most households. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D1, D14, G, G5, H, H3 Research Theme(s): Financial system, Household and business credit, Monetary policy, Real economy and forecasting