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2120 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.

Privacy as a Public Good: A Case for Electronic Cash

Staff working paper 2019-24 Rodney J. Garratt, Maarten van Oordt
Cash gives users a high level of privacy when making payments, but the use of cash to make payments is declining. People increasingly use debit cards, credit cards or other methods to pay.

Sluggish Forecasts

Staff working paper 2018-39 Monica Jain
Given the influence that agents’ expectations have on key macroeconomic variables, it is surprising that very few papers have tried to extrapolate agents’ “true” expectations directly from the data. This paper presents one such approach, starting with the hypothesis that there is sluggishness in inflation and real GDP growth forecasts.

Opaque Assets and Rollover Risk

Staff working paper 2016-17 Benjamin Nelson, Toni Ahnert
We model the asset-opacity choice of an intermediary subject to rollover risk in wholesale funding markets. Greater opacity means investors form more dispersed beliefs about an intermediary’s profitability.
March 9, 2010

Monetary Policy Rules in an Uncertain Environment

This article examines recent research on the influence of various forms of economic uncertainty on the performance of different classes of monetary policy rules: from simple rules to fully optimal monetary policy under commitment. The authors explain why uncertainty matters in the design of monetary policy rules and provide quantitative examples from the recent literature. They also present results for several policy rules in ToTEM, the Bank of Canada's main model for projection and analysis, including rules that respond to price level, rather than to inflation.

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.
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