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2191 Results

The Sectoral Origins of Post-Pandemic Inflation

Staff working paper 2025-37 Jan David Schneider
This paper quantifies the contribution of sector-specific supply and demand shocks to personal consumption expenditure (PCE) inflation. It derives identification restrictions that are consistent with a large class of dynamic stochastic general equilibrium models with production networks.

Preferences, Monetary Policy and Household Inflation

Staff working paper 2024-45 Geoffrey R. Dunbar
I quantify the importance of changes in household preferences on household inflation rates using 11 years of scanner data for 11,000 US households. My results suggest that changes in household preferences are an important driver of inflation dynamics at the household level.

Frictional Capital Reallocation I: Ex Ante Heterogeneity

Staff working paper 2019-4 Randall Wright, Sylvia Xiaolin Xiao, Yu Zhu
This paper studies dynamic general equilibrium models where firms trade capital in frictional markets. Gains from trade arise due to ex ante heterogeneity: some firms are better at investment, so they build capital in the primary market; others acquire it in the secondary market.

Online Privacy and Information Disclosure by Consumers

Staff working paper 2019-22 Shota Ichihashi
A consumer discloses information to a multi-product seller, which learns about the consumer’s preferences, sets prices, and makes product recommendations. While the consumer benefits from accurate product recommendations, the seller may use the information to price discriminate.

Understanding DeFi Through the Lens of a Production-Network Model

Staff working paper 2023-42 Jonathan Chiu, Thorsten Koeppl, Hanna Yu, Shengxing Zhang
We develop a production-network model to capture how decentralized finance (DeFi) has evolved across different sectors of financial services. The model allows us to measure the value added by different DeFi sectors and to study how the connections across the sectors influence token prices.
November 19, 2015

Is Slower Growth the New Normal in Advanced Economies?

This article reviews and examines some of the main explanations for the slow growth that many advanced economies continue to experience seven years after the 2007–09 global financial crisis. Does this muted recovery reflect just a prolonged cycle in the aftermath of a financial crisis? Is it due to a structural inadequacy of demand leading to a long-lasting liquidity trap? Or is it largely supply side in nature, reflecting demographic and technological factors?
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): F, F0, F01, F4, F43, O, O4, O40
April 22, 2005

Borders, Common Currencies, Trade, and Welfare: What Can We Learn from the Evidence?

Recent evidence indicates that the intensity of economic exchange within and across borders is significantly different: linkages are much tighter within, than among, nation-states. These findings, however, do not necessarily imply that borders and separate national currencies represent significant barriers to trade that should be removed, since the evidence is also consistent with the alternative hypothesis, that domestic exchange is more efficient because domestic producers are better able to satisfy the requirements of local consumers, owing to common tastes and institutions and the existence of local information and social networks. Focusing primarily on trade linkages within and between Canada and the United States, the authors review the evidence on the extent to which national borders lessen the intensity of international economic linkages, primarily trade in goods and services, and the effects on domestic welfare. They also examine the evidence on the impact of common currencies on trade and welfare. They determine that, since the empirical models employed to date in this research cannot distinguish between alternative explanations of the evidence, it is not yet possible to draw firm conclusions for policy-making.

The Term Structures of Loss and Gain Uncertainty

We investigate the uncertainty around stock returns at different investment horizons. Since a return is either a loss or a gain, we categorize return uncertainty into two components—loss uncertainty and gain uncertainty. We then use these components to evaluate investment.
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