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2126 Results

COVID-19 Crisis: Lessons Learned for Future Policy Research

One year later, we review the events that took place in Canadian fixed-income markets at the beginning of the COVID-19 crisis and propose potential policy research questions for future work.

Business Closures and (Re)Openings in Real Time Using Google Places

The COVID-19 pandemic highlighted the need for policy-makers to closely monitor disruptions to the retail and food business sectors. We present a new method to measure business opening and closing rates using real-time data from Google Places, the dataset behind the Google Maps service.

Monetary Policy Transmission Through Shadow and Traditional Banks

Staff working paper 2024-8 Amina Enkhbold
I investigate how monetary policy transmits to mortgage rates via the mortgage market concentration channel for both traditional and shadow banks in the United States from 2009 to 2019. On average, shadow and traditional banks exhibit only a slight disparity in transmitting monetary shocks to mortgage rates.

Beating the “pros” with a semi-structural model of their own inflation forecasts

How can Surveys of Professional Forecasters (SPF) be used to improve inflation forecasts? By using US historical quarterly data on SPF forecasts, we provide better understanding of how we can use forecast disagreement to improve our own forecasts.
November 16, 2017

Factors Behind the 2014 Oil Price Decline

Oil prices have declined sharply over the past three years. While both supply and demand factors played a role in the large oil price decline of 2014, global supply growth seems to have been the predominant force. The most important drivers were likely the surprising growth of US shale oil production, the output decisions of the Organization of the Petro-leum Exporting Countries and the weaker-than-expected global growth that followed the 2009 global financial crisis.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): Q, Q4, Q41, Q43

Optimal Estimation of Multi-Country Gaussian Dynamic Term Structure Models Using Linear Regressions

Staff working paper 2017-33 Antonio Diez de los Rios
This paper proposes a novel asymptotic least-squares estimator of multi-country Gaussian dynamic term structure models that is easy to compute and asymptotically efficient, even when the number of countries is relatively large—a situation in which other recently proposed approaches lose their tractability.

Sectoral Uncertainty

Staff working paper 2022-38 Efrem Castelnuovo, Kerem Tuzcuoglu, Luis Uzeda
We propose a new empirical framework that jointly decomposes the conditional variance of economic time series into a common and a sector-specific uncertainty component. We apply our framework to a disaggregated industrial production series for the US economy. We identify unexpected changes in durable goods uncertainty as drivers of downturns, while unexpected hikes in non-durable goods uncertainty are expansionary.
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