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510 Results

From LVTS to Lynx: Quantitative Assessment of Payment System Transition

We quantitatively assess the changes in participants’ payment behaviour from modernizing Canada's high-value payments system to Lynx. Our analysis suggests that Lynx's liquidity-saving mechanism encourages liquidity pooling and early payments submission, resulting in improved efficiency for participants but with slightly increased payment delays.

Turning Words into Numbers: Measuring News Media Coverage of Shortages

Staff Discussion Paper 2023-8 Lin Chen, Stephanie Houle
We develop high-frequency, news-based indicators using natural language processing methods to analyze news media texts. Our indicators track both supply (raw, intermediate and final goods) and labour shortages over time. They also provide weekly time-varying topic narratives about various types of shortages.

Supply Drivers of US Inflation Since the COVID-19 Pandemic

Staff Working Paper 2023-19 Serdar Kabaca, Kerem Tuzcuoglu
This paper examines the contribution of several supply factors to US headline inflation since the start of the COVID-19 pandemic. We identify six supply shocks using a structural VAR model: labor supply, labor productivity, global supply chain, oil price, price mark-up and wage mark-up shocks.

We Didn’t Start the Fire: Effects of a Natural Disaster on Consumers’ Financial Distress

We use detailed consumer credit data to investigate the impact of the 2016 Fort McMurray wildfire, the costliest wildfire disaster in Canadian history, on consumers’ financial stress. We focus on the arrears of insured mortgages because of their important implications for financial institutions and insurers’ business risk and relevant management practices.

Learning in a Complex World: Insights from an OLG Lab Experiment

Staff Working Paper 2023-13 Cars Hommes, Stefanie J. Huber, Daria Minina, Isabelle Salle
This paper brings novel insights into group coordination and price dynamics in complex environments. We implement a chaotic overlapping-generation model in the lab and find that group coordination is always on the steady state or on the two-cycle and that behavior is non-monotonic.
Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Economic models JEL Code(s): C, C6, C62, C68, C9, C91, C92, E, E1, E13, E7, E70, G, G1, G12, G4, G41

Inflation, Output, and Welfare in the Laboratory

Staff Working Paper 2023-11 Janet Hua Jiang, Daniela Puzzello, Cathy Zhang
We investigate the effect of inflation on output and welfare in the laboratory. Consistent with monetary theory, we find that inflation acts as a tax on monetary exchange and reduces output and welfare.

Introducing the Bank of Canada’s Market Participants Survey

Staff Analytical Note 2023-1 Annick Demers, Tamara Gomes, Stephane Gignac
The Market Participants Survey (MPS) gathers financial market participants’ expectations for key macroeconomic and financial variables and for monetary policy. This staff analytical note describes the MPS’s objectives and main features, its process and design, and how Bank of Canada staff use the results.

Climate Variability and International Trade

Staff Working Paper 2023-8 Geoffrey R. Dunbar, Walter Steingress, Ben Tomlin
This paper quantifies the impact of hurricanes on seaborne international trade to the United States. Matching the timing of hurricane–trade route intersections with monthly U.S. port-level trade data, we isolate the unanticipated effects of a hurricane hitting a trade route using two separate identification schemes: an event study and a local projection.
Content Type(s): Staff research, Staff working papers Topic(s): Climate change, International topics JEL Code(s): C, C2, C22, C5, F, F1, F14, F18, Q, Q5, Q54

Risk Amplification Macro Model (RAMM)

Technical Report No. 123 Kerem Tuzcuoglu
The Risk Amplification Macro Model (RAMM) is a new nonlinear two-country dynamic model that captures rare but severe adverse shocks. The RAMM can be used to assess the financial stability implications of both domestic and foreign-originated risk scenarios.
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