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2120 Results

Endogenous Time Variation in Vector Autoregressions

Staff working paper 2020-16 Danilo Leiva-Leon, Luis Uzeda
We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence — contemporaneously and with a lag — the dynamics of the intercept and autoregressive coefficients in these models.
May 19, 2002

Private Capital Flows to Emerging-Market Economies

This article explores the evolution of capital flows to emerging markets over the last 30 years with emphasis on the past decade. Capital markets in emerging-market economies have evolved substantially over the period, becoming increasingly deep and resilient. The author looks at how capital flows to these countries have changed in terms of magnitude, geographical distribution, the financial instruments used, and the country of origin. He also examines how changes in the investor base have affected these flows and reviews the factors underlying the growth of private capital flows in the 1990s.

Qualitative Field Research in Monetary Policy Making

Staff discussion paper 2021-1 Chris D'Souza, Jane Voll
Central banks conduct research involving in-depth interviews with external parties—but little is known about how this information affects monetary policy. We address this gap by analyzing open-ended interviews with senior central bank economic and policy staff who work closely with policy decision-makers.

Canada’s Monetary Policy Report: If Text Could Speak, What Would It Say?

Staff analytical note 2019-5 André Binette, Dmitri Tchebotarev
This note analyzes the evolution of the narrative in the Bank of Canada’s Monetary Policy Report (MPR). It presents descriptive statistics on the core text, including length, most frequently used words and readability level—the three Ls. Although each Governor of the Bank of Canada focuses on the macroeconomic events of the day and the mandate of inflation targeting, we observe that the language used in the MPR varies somewhat from one Governor’s tenure to the next.

How Do People View Price and Wage Inflation?

Staff working paper 2022-34 Monica Jain, Olena Kostyshyna, Xu Zhang
This paper examines household-level data from the Canadian Survey of Consumer Expectations (CSCE) to understand households’ expectations about price and wage inflation, how those expectations link to views about labour market conditions and the subsequent impact on households’ outlook for real spending growth.

Credit Crunches from Occasionally Binding Bank Borrowing Constraints

Staff working paper 2017-57 Tom D. Holden, Paul Levine, Jonathan Swarbrick
We present a model in which banks and other financial intermediaries face both occasionally binding borrowing constraints and costs of equity issuance. Near the steady state, these intermediaries can raise equity finance at no cost through retained earnings.
October 16, 2023

Canadian Survey of Consumer Expectations—Third Quarter of 2023

Consumers’ perceptions of current inflation remain elevated and are diverging from actual inflation. Perceptions of high inflation are also leading to persistently high expectations for inflation over the next 12 months. Consumers’ expectations for interest rates one year from now also remain high, and many consumers believe that the impacts of higher interest rates on their household spending are far from over. Homeowners with a variable-rate mortgage are more likely than other consumers to report being worse off due to high interest rates. Consumers’ plans to purchase services, such as vacations or concerts, are more widespread than plans to make major purchases of goods that are likely to be financed with loans, such as vehicles or appliances. Workers are reporting signs of job market cooling, such as more time spent looking for a new job, but they remain confident about the labour market.

Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis

Staff working paper 2023-45 Tony Chernis
I show how to combine large numbers of forecasts using several approaches within the framework of a Bayesian predictive synthesis. I find techniques that choose and combine a handful of forecasts, known as global-local shrinkage priors, perform best.
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