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3045 Results

Financial Intermediaries and the Macroeconomy: Evidence from a High-Frequency Identification

Staff Working Paper 2022-24 Pablo Ottonello, Wenting Song
We provide empirical evidence of effects to the aggregate economy from surprises about financial intermediaries’ net worth based on a high-frequency identification strategy. We estimate that news of a 1% decline in intermediaries’ net worth leads to a 0.2%–0.4% decrease in the market value of nonfinancial firms.

Non-Performing Loans, Fiscal Costs and Credit Expansion in China

Staff Working Paper 2018-53 Huixin Bi, Yongquan Cao, Wei Dong
This paper studies how the credit expansion policy pursued by the Chinese government in an effort to stimulate its economy in the post-crisis period affects bank–firm loan contracts and the macroeconomy. We build a structural model with financial frictions in which the optimal loan contract reflects the trade-off between leverage and the probability of default.

Understanding Monetary Policy and its Effects: Evidence from Canadian Firms Using the Business Outlook Survey

Staff Working Paper 2017-24 Matthieu Verstraete, Lena Suchanek
This paper shows (i) that business sentiment, as captured by survey data, matters for monetary policy decisions in Canada, and (ii) how business perspectives are affected by monetary policy shocks. Measures of business sentiment (soft data) are shown to have systematic explanatory power for monetary policy decisions over and above typical Taylor rule variables.
Content Type(s): Staff research, Staff working papers Research Topic(s): Firm dynamics, Interest rates, Monetary policy transmission JEL Code(s): D, D2, D22, E, E4, E44, E5, E52

Price-Level Targeting

Staff Discussion Paper 2007-8 Agathe Côté
In November 2006, the Bank of Canada announced its intention to lead a concerted research program over the next few years on the type of monetary policy framework that would best contribute to the economic well-being of Canadians in the decades ahead. The research will focus on two broad questions: whether economic welfare might be […]
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Monetary policy framework JEL Code(s): E, E5, E52, E58

Digitalization and Inflation: A Review of the Literature

In the past few years, many have postulated that the possible disinflationary effects of digitalization could explain the subdued inflation in advanced economies. In this note, we review the evidence found in the literature. We look at three main channels.
Content Type(s): Staff research, Staff analytical notes Research Topic(s): Inflation and prices, Market structure and pricing, Productivity JEL Code(s): D, D2, D22, E, E3, E31, L, L8, L81, O, O3, O33

Canadian Bitcoin Ownership in 2023: Key Takeaways

Staff Discussion Paper 2025-4 Daniela Balutel, Marie-Hélène Felt, Doina Rusu
The Bitcoin Omnibus Survey is an important tool for monitoring Canadians’ awareness and ownership of bitcoin and other cryptoassets over time. In this paper, we present data highlights from the 2023 survey.

Poignée de main invisible et persistance des cycles économiques : une revue de la littérature

Staff Working Paper 2003-40 Christian Calmès
The author explains how self-enforcing labour contracts can enhance the performance of macroeconomic models. He exposes the benefits of using these dynamic contracts to account for some puzzling macroeconomic facts regarding the dynamics and persistence of employment, consumption and output.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Economic models JEL Code(s): E, E1, E12, E4, E49, J, J3, J30, J31, J4, J41

What do high-frequency expenditure network data reveal about spending and inflation during COVID‑19?

Staff Analytical Note 2020-20 Kim Huynh, Helen Lao, Patrick Sabourin, Angelika Welte
The official consumer price index (CPI) inflation measure, based on a fixed basket set before the COVID 19 pandemic, may not fully reflect what consumers are currently experiencing. We partnered with Statistics Canada to construct a more representative index for the pandemic with weights based on real-time transaction and survey data.
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