Search

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 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.

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.

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.

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.

Annual research grants and expense allowances for a term of up to five years.

These forecasts are provided to Governing Council in preparation for monetary policy decisions. They are released once a year with a five-year lag.

How should central banks design monetary policy in stable times and during recessions? We run a horse race between five monetary policy frameworks in an experimental laboratory to assess how well the different approaches can manage the public’s expectations and stabilize the economy.

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.