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The emergence of digital currencies such as Bitcoin and the underlying blockchain and distribution ledger technology have attracted significant attention. These developments have raised the possibility of considerable impacts on the financial system and perhaps the wider economy.

This paper develops a model of firm heterogeneity, technological adoption, and urbanization. In the model, welfare is measured by household real income, and urbanization is measured by population density. I use the model to derive statistics that measure the effect of a new technology on productivity, welfare, and urbanization.

In light of the financial crisis and its aftermath, several economists have argued that inflation-targeting central banks should reconsider the level of their inflation targets. While the appropriate level for the inflation target remains an open question, it’s important to note that any transition to a new target would entail certain costs.

This section of the Financial System Review examines the recent performance of the Canadian financial system and the factors, both domestic and international, that are influencing it.

How do Canadians pay their bills? 2019 survey data collected from over 4,000 Canadian consumers show how people’s bill payment choices vary with consumer characteristics and types of bills. The data also reveal that many consumers feel limited in their choices, which suggests that preferences of billers might play an important role as well.

Can monetary policy influence the neutral real interest rate (r-star)? Using a new statistical model, we show that interest rate hikes tend to lower r-star and long-run growth, but that monetary policy explains only a small share of the long-run decline in r-star.

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.

We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.

The neutral rate serves as a benchmark for measuring monetary stimulus and provides a medium- to long-run anchor for the real policy rate. Global neutral rate estimates have been falling over the past few decades. Factors such as population aging, high corporate savings, and low trend productivity growth are likely to continue supporting a low global neutral rate. These global factors as well as domestic factors are exerting downward pres-sure on the Canadian real neutral rate, which is estimated to be between 0.5 to 1.5 per cent. This low neutral rate has important implications for monetary policy and financial stability.

The impact of COVID-19 on Canadian households’ debt and unplanned savings varies by household income. Low-income and high-income households accrued unplanned savings, while middle-income households tended to accumulate more debt.