Household financial vulnerabilities and physical climate risks Staff analytical note 2021-19 Thibaut Duprey, Colin Jones, Callie Symmers, Geneviève Vallée Natural disasters occur more often than before, potentially exposing households to financial distress. We study the intersection between household financial vulnerabilities and severe weather events. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C2, C21, C3, C38, D, D1, D14, Q, Q5, Q54 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Structural challenges, Climate change
Applying the Wage-Common to Canadian Provinces Staff analytical note 2018-16 Jonathan Lachaine As at the national level, available sources of hourly wage data for Canadian provinces sometimes send conflicting signals about wage growth. This note has two objectives. First, we develop a common measure of provincial wages (the provincial wage-common) to better capture the underlying wage pressures, reflecting the overall trend across all data sources. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C3, C38, J, J3 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, Structural challenges, Demographics and labour supply
Can Media and Text Analytics Provide Insights into Labour Market Conditions in China? Staff working paper 2018-12 Jeannine Bailliu, Xinfen Han, Mark Kruger, Yu-Hsien Liu, Sri Thanabalasingam The official Chinese labour market indicators have been seen as problematic, given their small cyclical movement and their only-partial capture of the labour force. In our paper, we build a monthly Chinese labour market conditions index (LMCI) using text analytics applied to mainland Chinese-language newspapers over the period from 2003 to 2017. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C38, C5, C55, E, E2, E24, E27 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
Wages: Measurement and Key Drivers Staff analytical note 2018-2 Dany Brouillette, Jonathan Lachaine, Benoit Vincent Available sources of hourly wage data in Canada sometimes send conflicting signals about wage growth. This note thus has two objectives: first, we develop a wage measure—the wage-common—to better capture the (underlying) wage pressures reflecting the common trend across the available data sources. Second, we re-examine the relationship between wage growth and macro drivers (labour market slack and labour productivity). Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C3, C38, J, J3 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, Structural challenges, Demographics and labour supply
A Dynamic Factor Model for Nowcasting Canadian GDP Growth Staff working paper 2017-2 Tony Chernis, Rodrigo Sekkel This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, C38, C5, C53, E, E3, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
The Real-Time Properties of the Bank of Canada’s Staff Output Gap Estimates Staff working paper 2016-28 Julien Champagne, Guillaume Poulin-Bellisle, Rodrigo Sekkel We study the revision properties of the Bank of Canada’s staff output gap estimates since the mid-1980s. Our results suggest that the average staff output gap revision has decreased significantly over the past 15 years, in line with recent evidence for the U.S. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C38, E, E1, E17, E3, E32 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Macroeconomic Uncertainty Through the Lens of Professional Forecasters Staff working paper 2016-5 Soojin Jo, Rodrigo Sekkel We analyze the evolution of macroeconomic uncertainty in the United States, based on the forecast errors of consensus survey forecasts of different economic indicators. Comprehensive information contained in the survey forecasts enables us to capture a real-time subjective measure of uncertainty in a simple framework. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C38, E, E1, E17, E3, E32 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting