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553 Results

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 Research 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.

Macroeconomic Disasters and Consumption Smoothing: International Evidence from Historical Data

Staff Working Paper 2023-4 Lorenzo Pozzi, Barbara Sadaba
Does consumption smoothing fundamentally decrease during macroeconomic disasters? This paper uses a large historical dataset (1870–2016) for 16 industrial economies to show that during macroeconomic disasters (e.g., wars, pandemics, depressions) aggregate consumption and income are significantly less decoupled than during normal times.

The 2021–22 Merchant Acceptance Survey Pilot Study

Staff Discussion Paper 2023-1 Angelika Welte, Joy Wu
The rise in digital payment innovations has spurred a discussion about the future of cash at the point of sale. The Bank conducted the 2021–22 Merchant Acceptance Survey Pilot Study to study trends in merchant cash acceptance and monitor conditions for the potential issuance of a central bank digital currency.

Simulating Intraday Transactions in the Canadian Retail Batch System

Staff Working Paper 2023-1 Nellie Zhang
This paper proposes a unique approach to simulate intraday transactions in the Canadian retail payments batch system when such transactions are unobtainable. The simulation procedure has potential for helping with data-deficient problems where only high-level aggregate information is available.

Improving the Efficiency of Payments Systems Using Quantum Computing

We develop an algorithm and run it on a hybrid quantum annealing solver to find an ordering of payments that reduces the amount of system liquidity necessary without substantially increasing payment delays.

CANVAS: A Canadian Behavioral Agent-Based Model

The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis.

Core inflation over the COVID-19 pandemic

Staff Analytical Note 2022-17 Mikael Khan, Elyse Sullivan
We assess the usefulness of various measures of core inflation over the COVID-19 pandemic. We find that Cpi-trim and CPI-median provided the best signal of underlying inflation. The favourable performance of these measures stems from their lack of reliance on historical experience, an especially valuable feature in unprecedented times.
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