Staff research

This paper examines how climate change affects income inequality across US states. Using a new climate-inequality VAR and a century of daily temperature data, it shows that shifts across the full temperature distribution—not just average warming—have diverse effects on within-state inequality.

Extreme weather events contribute to increased volatility in both economic activity and prices, interfering with the assessment of the true underlying trends of the economy. With this in mind, we conduct a timely assessment of the impact of natural disasters on Canadian gross domestic product (GDP).

This paper outlines and assesses the various channels through which digitalization can affect prices of goods and services.

We explore the implications of digitalization for monetary policy, both in terms of how monetary policy affects the economy and in terms of data analysis and communication with the public.

We assess the impact of COVID-19 on consumption indicators by estimating the effects of government-mandated containment measures and of the willingness of individuals to voluntarily physically distance to prevent contagion.

We examine how consumers have adjusted their payment habits during the COVID-19 pandemic. They seem to perform fewer transactions, spend more in each transaction, use less cash at the point of sale and withdraw cash from ATMs linked to their financial institution more often than from other ATMs.

We study how different monetary policies affect the yield curve and interact. Our study highlights the importance of the spillover structure across the yield curve for policy-making.

This paper introduces a new tool to monitor economic and financial vulnerabilities in emerging-market economies. We obtain vulnerability indexes for several early warning indicators covering 26 emerging markets from 1990 to 2017 and use them to monitor the evolution of vulnerabilities before, during and after an economic or financial crisis.

We document a strong asymmetry in the evolution of federal funds rate expectations and map this observed asymmetry into measures of monetary policy uncertainty. We show that periods of monetary policy tightening and easing are distinctly related to downside (policy rate is higher than expected) and upside (policy rate is lower than expected) uncertainty.

We introduce limited information in monetary policy. Agents receive signals from the central bank revealing new information (“news") about the future evolution of the policy rate before changes in the rate actually take place. However, the signal is disturbed by noise.