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2188 Results

Measuring household financial stress in Canada using consumer surveys

Staff analytical note 2024-5 Nicolas Bédard, Patrick Sabourin
We use data from the Canadian Survey of Consumer Expectations to understand how households are coping with high inflation and high interest rates. We build a subjective measure of financial stress and find that the level of stress is at a historical high but remains manageable for most households.

Agency Costs, Risk Shocks and International Cycles

Staff working paper 2016-2 Marc-André Letendre, Joel Wagner
We add agency costs as in Carlstrom and Fuerst (1997) into a two-country, two-good international business-cycle model. In our model, changes in the relative price of investment arise endogenously.

Crisis facilities as a source of public information

Staff analytical note 2025-7 Lerby Ergun
During the COVID-19 financial market crisis, central banks introduced programs to support liquidity in important core funding markets. As well as acting as a backstop to market prices, these programs produce useful trading data on prevailing market conditions. When summary information from this data is shared publicly, it can help market participants understand current conditions and aid the recovery of market functioning.

Measuring the Effectiveness of Salespeople: Evidence from a Cold-Drink Market

Staff working paper 2021-40 Haofeng Jin, Zhentong Lu
Salespeople are widely employed in many industries. We leverage a unique data set on retail sales from a leading Chinese cold-drink manufacturer and information on the firm’s salespeople assignment rule to measure the causal effect of salespeople on product revenue.
March 18, 2008

Canada's Experience with a Flexible Exchange Rate in the 1950s: Valuable Lessons Learned

Schembri studies Canada's post-World War II experience in introducing a floating exchange rate, including its effects on the Canadian economy and its influence on the development of macroeconomic theory. In particular, Canada's flexible exchange rate and high degree of capital mobility with the United States provided an unprecedented experiment for macroeconomic policy. The successes and difficulties encountered by Canadian authorities in managing monetary and fiscal policy under this regime drew the interest of researchers at the International Monetary Fund and elsewhere and had a significant impact on the development of the Mundell-Fleming model, the path-breaking innovation in modern open-economy macroeconomics.

How Do Some Lower-Income Canadians Pay

Previous research suggests that lower-income Canadians may have unique experiences with the use of payments, including the use of cash and digital payments. We conduct a case study using data from [the Canadian Financial Diaries project/Canadian financial diaries] to gain insight into how some lower-income Canadians pay.
Content Type(s): Staff research, Staff analytical paper JEL Code(s): D, D8, D83, E, E4, E41 Research Theme(s): Money and payments, Cash and bank notes, Retail payments

Saving after Retirement and Preferences for Residual Wealth

Staff working paper 2024-21 Giulio Fella, Martin B. Holm, Thomas Michael Pugh
We estimate a model of households in Norway with bequest motives, health-dependent utility, and uncertain longevity and health. Our estimates imply strong bequest motives for households both with and without offspring. We interpret this as suggestive evidence that utility from residual wealth represents forces beyond an altruistic bequest motive.

Optimal Monetary Policy According to HANK

Staff working paper 2021-55 Sushant Acharya, Edouard Challe, Keshav Dogra
We study optimal monetary policy in an analytically tractable Heterogeneous Agent New Keynesian model. In the model, the central bank has an incentive to reduce consumption inequality in addition to keeping economic activity at its efficient level and inflation stable.

Generalized Autoregressive Gamma Processes

Staff working paper 2023-40 Bruno Feunou
We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does.
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