C2 - Single Equation Models; Single Variables

• 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

• Payment Habits During COVID-19: Evidence from High-Frequency Transaction Data

  Staff Working Paper 2021-43 Tatjana Dahlhaus, Angelika Welte

  We examine how consumers have adjusted their payment habits during the COVID-19 pandemic. They seem to perform fewer transactions, spend more in each transaction, use less cash at the point of sale and withdraw cash from ATMs linked to their financial institution more often than from other ATMs.

  Content Type(s): Staff research, Staff working papers Topic(s): Coronavirus disease (COVID-19), Domestic demand and components, Payment clearing and settlement systems, Recent economic and financial developments JEL Code(s): C, C2, C22, C5, C55, D, D1, D12, E, E2, E21, E4, E42, E5, E52

• 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

• 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

• Evolving Temperature Dynamics in Canada: Preliminary Evidence Based on 60 Years of Data

  Staff Working Paper 2021-22 Robert Amano, Marc-André Gosselin, Julien McDonald-Guimond

  Are summers getting hotter? Do daily temperatures change more than they used to? Using daily Canadian temperature data from 1960 to 2020 and modern econometric methods, we provide economists and policy-makers evidence on the important climate change issue of evolving temperatures.

  Content Type(s): Staff research, Staff working papers Topic(s): Climate change, Econometric and statistical methods JEL Code(s): C, C2, C22, Q, Q5, Q54

• Networking the Yield Curve: Implications for Monetary Policy

  Staff Working Paper 2021-4 Tatjana Dahlhaus, Julia Schaumburg, Tatevik Sekhposyan

  We study how different monetary policies affect the yield curve and interact. Our study highlights the importance of the spillover structure across the yield curve for policy-making.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Interest rates, Monetary policy implementation JEL Code(s): C, C1, C18, C2, C21, C5, C53, E, E4, E43, E44, E5, E52