C38 - Classification Methods; Cluster Analysis; Factor Models

• 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 Topic(s): Climate change, Credit and credit aggregates, Financial stability, Housing, Recent economic and financial developments JEL Code(s): C, C2, C21, C3, C38, D, D1, D14, Q, Q5, Q54

• 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 Topic(s): Econometric and statistical methods, Labour markets, Recent economic and financial developments JEL Code(s): C, C3, C38, J, J3

• 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 Topic(s): Econometric and statistical methods, International topics, Labour markets JEL Code(s): C, C3, C38, C5, C55, E, E2, E24, E27

• 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 Topic(s): Econometric and statistical methods, Labour markets, Recent economic and financial developments JEL Code(s): C, C3, C38, J, J3

• 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 Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, C38, C5, C53, E, E3, E37

• 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 Topic(s): Central bank research, Econometric and statistical methods, Potential output JEL Code(s): C, C3, C38, E, E1, E17, E3, E32

• 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 Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C38, E, E1, E17, E3, E32

• Improving Overnight Loan Identification in Payments Systems

  Staff Working Paper 2014-25 Mark Rempel

  Information on the allocation and pricing of over-the-counter (OTC) markets is scarce. Furfine (1999) pioneered an algorithm that provides transaction-level data on the OTC interbank lending market.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Interest rates, Payment clearing and settlement systems JEL Code(s): C, C3, C38, C5, C53, E, E4, E42, E44, G, G1, G10

• High-Frequency Real Economic Activity Indicator for Canada

  Staff Working Paper 2013-42 Gitanjali Kumar

  I construct a weekly measure of real economic activity in Canada. Based on the work of Aruoba et al. (2009), the indicator is extracted as an unobserved component underlying the co-movement of four monthly observed real macroeconomic variables - employment, manufacturing sales, retail sales and GDP.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C38, E, E3, E32