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As a guide for the conduct of monetary policy, most central banks make use of a trend inflation index similar to that employed by the Bank of Canada: the CPI excluding food, energy, and the effect of indirect taxes. In addition to their basic reference index, some central banks regularly publish statistical measures of the trend rate of inflation. The method used for producing these measures is, for the most part, based on the hypothesis that extreme price fluctuations generally reflect temporary shocks to the inflation rate, rather than its underlying trend. In this paper, the author offers a broad survey of studies on the measurement of trend inflation that have been published by the Bank of Canada and presents the results of the most recent work on the subject. Particular attention is paid to two statistical measures that the Bank follows more closely than other measures; namely, the CPIX, a price index that excludes eight of the most volatile CPI components, and CPIW, a measure that retains all the components of the overall index but gives a lower weighting to the most volatile.

This paper quantifies the contribution of sector-specific supply and demand shocks to personal consumption expenditure (PCE) inflation. It derives identification restrictions that are consistent with a large class of dynamic stochastic general equilibrium models with production networks.

One of the most important arguments in favour of price stability is that unexpected inflation generates changes in the distribution of income and wealth among different economic agents. These redistributions occur because many loans are specified in fixed dollar terms and unexpected inflation redistributes wealth from creditors to debtors by reducing the real value of nominal assets and liabilities.

Deputy Governor Tim Lane discusses the implications of climate change—and actions to address it—for Canada’s economy and financial system.

We analyze the value proposition and limitations of decentralized finance (DeFi). Based on a distributed ledger and smart contracts, DeFi can guarantee the execution of financial contracts, potentially lowering the costs of intermediation and improving financial inclusion.

In an economy where production takes place in multiple stages and is subject to financial frictions, how firms finance intermediate inputs matters for aggregate outcomes. This paper focuses on trade credit—the lending and borrowing of input goods between firms—and quantifies its aggregate impacts during the Great Recession.

Can central bank and government policies impact the risks around the outlook for GDP growth? We find that fiscal stimulus makes strong GDP growth more likely—even more so when monetary policy is constrained—rather than weak GDP growth less likely. Thus, fiscal stimulus should accelerate the recovery phase of the COVID-19 pandemic.

Cash use for payments has been steadily decreasing in many countries, including Canada and Sweden. This might suggest an evolution toward a cashless society. But in Canada, cash in circulation relative to GDP has been stable for decades and has even increased in recent years. By contrast, the cash-to-GDP ratio in Sweden has been falling steadily. What has caused this difference? Are there lessons to be learned from comparing the Canadian and Swedish experiences?

Carbon dioxide emissions have been commonly modelled as rising and falling with total output. Yet many factors, such as energy-efficiency improvements and shifts to cleaner energy, can break this relationship. We evaluate these factors using US data and find that changes in energy efficiency of consumption goods explain a significant proportion of emissions fluctuations. This finding also implies that models that omit energy efficiency likely overestimate the trade-off between environmental protection and economic performance.

We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes.