The authors introduce new measures of important underlying macroeconomic phenomena that affect the financial side of the economy. These measures are calculated using the time-series factor analysis (TSFA) methodology introduced in Gilbert and Meijer (2005). The measures appear to be both more...

We propose a drifting-coefficient model to empirically study the effect of money on output growth in Canada and to examine the role of prevailing financial conditions for that relationship. We show that such a time-varying approach can be a useful way of modelling the impact of money on growth,...

With the demise of monetary targeting over the past 20 years in many major countries, the question has arisen as to whether central banks should look at money at all when formulating and conducting monetary policy. The author argues that the mainstream paradigm, which gives no useful role to...

Changes in the financial industry result in new data that are inconsistent with the former presentation, and therefore adjustments are required to "adjust" or smooth out these breaks to establish continuity. The author explains the methodology for newly calculated continuity adjustments to...

Technological innovations in the financial industry pose major problems for the measurement of monetary aggregates. The authors describe work on a new measure of money that has a more satisfactory means of identifying and removing the effects of financial innovations. The new method...