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How do storms, floods and wildfires affect consumer prices? In the short term, natural disasters can significantly increase volatility in Canada-wide inflation. Over the long term, natural disasters influence inflation in shelter prices, especially when provincial output is already weak relative to trend.

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).

Market power and pass-through of cost and demand shocks are studied in a market with free entry of heterogeneous firms and consumer mixed search. Equilibrium prices and markups are driven by variation in the elasticity of demand across firms. Improved conditions for buyers can either raise or lower market power.

We analyze micro-level data from the Canadian Survey of Consumer Expectations through the lens of a heterogeneous-expectations model to study how inflation expectations form over the business cycle. We provide new insights into how households form expectations, documenting that forecasting behaviours, attention and noise in beliefs vary across socio-demographic groups and correlate with views about monetary policy.

This paper provides an extensive evaluation of the performance of quantile vector autoregression (QVAR) to forecast macroeconomic risk. Generally, QVAR outperforms standard benchmark models. Moreover, QVAR and QVAR augmented with factors perform equally well. Both are adequate for modeling macroeconomic risks.

I develop a method for Bayesian estimation of globally solved, non-linear macroeconomic models. The method uses a mixture density network to approximate the initial state distribution. The mixture density network results in more reliable posterior inference compared with the case when the initial states are set to their steady-state values.

We draw on the Canadian experience to examine how monetary and macroprudential policies interact and possibly complement each other in achieving their respective price and financial stability objectives.

We investigate the macroeconomic impacts of mothballed businesses—those that closed temporarily—on sectoral equilibrium prices after a negative demand shock. Our results suggest that pandemic fiscal support for temporary closures may have eased inflationary pressures.

We develop and estimate a search model in which identical consumers trade with price-setting firms that differ in productivity. We use the estimated model to characterize the qualitative and quantitative differences in prices and markups across firms. We explore how individual firms respond to changes in cost and demand and how they pass these through to their prices and markup.

We analyze the transmission of monetary policy during different phases of a sectoral demand reallocation episode when there are frictions to increasing production in a sector. Monetary policy is more effective in reducing inflation when a larger proportion of sectors are expanding or expect to expand in the near future.