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2124 Results

Model Uncertainty and Wealth Distribution

Staff working paper 2019-48 Edouard Djeutem, Shaofeng Xu
This paper studies the implications of model uncertainty for wealth distribution in a tractable general equilibrium model with a borrowing constraint and robustness à la Hansen and Sargent (2008). Households confront model uncertainty about the process driving the return of the risky asset, and they choose robust policies.

Financial Inclusion—What’s it Worth?

Staff working paper 2016-30 Miguel Ampudia, Michael Ehrmann
The paper studies the determinants of being unbanked in the euro area and the United States as well as the effects of being unbanked on wealth accumulation. Based on household-level data from The Eurosystem Household Finance and Consumption Survey and the U.S. Survey of Consumer Finances, it first documents that there are, respectively, 3.6 per cent and 7.5 per cent of unbanked households in the two economies.

How do Canadians perceive access to cash?

Staff analytical note 2024-24 Heng Chen, Daneal O’Habib, Hongyu Xiao
This paper introduces a subjective measure of cash accessibility in Canada, complementing existing distance-based metrics developed by Chen, O’Habib and Xiao (2023). Analyzing data from the 2023 Methods-of-Payment Survey, this study explores how Canadians perceive their ease of accessing cash from automated banking machines (ABMs) and financial institution branches.
Content Type(s): Staff research, Staff analytical notes JEL Code(s): J, J1, J15, O, O1, R, R5, R51 Research Theme(s): Money and payments, Cash and bank notes

Overlooking the online world: Does mismeasurement of the digital economy explain the productivity slowdown?

Staff analytical note 2021-10 Alejandra Bellatin, Stéphanie Houle
Since the mid-2000s, labour productivity has slowed down in Canada despite enormous technological advances that were expected to improve it. This note investigates whether mismeasurement of the digital economy can explain this paradox.

Quantile VARs and Macroeconomic Risk Forecasting

Staff working paper 2025-4 Stéphane Surprenant
This paper provides an extensive evaluation of the performance of quantile vector autoregression (QVAR) to forecast macroeconomic risk. Generally, QVAR outperforms standard benchmark models. Moreover, QVAR and QVAR augmented with factors perform equally well. Both are adequate for modeling macroeconomic risks.
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