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The short-run Phillips curve describes a positive short-run relationship between the level of economic activity and inflation. When the level of demand in the economy as a whole runs ahead of the level of output that the economy can supply in the short run, price pressures increase and inflation rises. This article reviews the origins of the short-run Phillips curve with particular emphasis on the long-standing idea that the shape of this curve may be non-linear, with inflation becoming more sensitive to changes in output when the cycle of economic activity is high than when it is low. This type of non-linearity in the short-run Phillips curve, which is typically motivated by the effects of capacity constraints that limit the ability of the economy to expand in the short run, has recently attracted renewed attention. The article surveys recent research that finds some evidence of this type of non-linearity in the Phillips curve in Canada and considers the potential implications for monetary policy.

We examine the macro implications of commodity price shocks in a model with multiple production sectors that are interconnected within a commodity-exporting small open economy.

This paper provides a non-technical introduction to monetary policy - what it is, how it works, and why it matters. It discusses inflation volatility and why this is damaging to the economy, as well as why increased stability of output growth is desirable.

This paper considers an economy where central-bank-issued fiat money competes with privately issued e-money. We study a policy-setting game between the central bank and the e-money issuer and find (1) the optimal monetary policy of the central bank depends on the policy of the private issuer and may deviate from the Friedman rule; (2) multiple equilibria may exist; (3) when the economy approaches a cashless state, the central bank’s optimal policy improves the market power of the e-money issuer and can lead to a discrete decrease in welfare and a discrete increase in inflation; and (4) first best cannot be achieved.

We propose a tool that decomposes TFP growth into sectoral contributions. The analysis incorporates three structural factors—digitalization, aging and climate change policies—and measures their contributions. Overall, we expect that aggregate TFP growth will slow down in the 2020s below both its historical average and the average from the 2010s.

We quantify the reaction of U.S. equity, bond futures, and exchange rate returns to oil price shocks driven by oil inventory news.

I examine the impact of non-regulated lenders in the mortgage market using a dynamic stochastic general equilibrium (DSGE) model. My model features two types of financial intermediaries that differ in three ways: (i) only regulated intermediaries face a capital requirement, (ii) non-regulated intermediaries finance themselves by selling securities and cannot accept deposits, and (iii) non-regulated intermediaries face a more elastic demand.