Greg Tkacz

External Author

Show all

Staff working papers

How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables

Staff Working Paper 2007-1 John Galbraith, Greg Tkacz
For stationary transformations of variables, there exists a maximum horizon beyond which forecasts can provide no more information about the variable than is present in the unconditional mean. Meteorological forecasts, typically excepting only experimental or exploratory situations, are not reported beyond this horizon; by contrast, little generally accepted information about such maximum horizons is available for economic variables.

Estimating Policy-Neutral Interest Rates for Canada Using a Dynamic Stochastic General-Equilibrium Framework

Staff Working Paper 2004-9 Jean-Paul Lam, Greg Tkacz
In an era when the primary policy instrument is the level of the short-term interest rate, a comparison of that rate with some equilibrium rate can be a useful guide for policy and a convenient method to measure the stance of monetary policy.
Content Type(s): Staff research, Staff working papers Topic(s): Interest rates JEL Code(s): C, C3, C32, E, E3, E37

A Consistent Bootstrap Test for Conditional Density Functions with Time-Dependent Data

Staff Working Paper 2001-21 Fuchun Li, Greg Tkacz
This paper describes a new test for evaluating conditional density functions that remains valid when the data are time-dependent and that is therefore applicable to forecasting problems. We show that the test statistic is asymptotically distributed standard normal under the null hypothesis, and diverges to infinity when the null hypothesis is false.
Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C12, C15, E, E3, E37

See More


Bank publications

Bank of Canada Review articles

March 9, 2010

An Uncertain Past: Data Revisions and Monetary Policy in Canada

Many important economic variables are subject to revision. This article explains how, when, and why such revisions occur; how revisions to Canadian gross domestic product (GDP) compare with GDP revisions in some other countries; which GDP components are subject to the largest revisions; and how data revisions can affect policy decisions. The author finds that revisions to Canadian GDP tend to be smaller, on average, than those of some other countries, and that among the GDP components, exports and imports are most heavily revised.

See More