Evaluating Factor Models: An Application to Forecasting Inflation in Canada Staff Working Paper 2001-18 Marc-André Gosselin, Greg Tkacz This paper evaluates the forecasting performance of factor models for Canadian inflation. This type of model was introduced and examined by Stock and Watson (1999a), who have shown that it is quite promising for forecasting U.S. inflation. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C3, C32, E, E3, E37
On the Nature and the Stability of the Canadian Phillips Curve Staff Working Paper 2001-4 Maral Kichian This paper empirically determines why, during the 1990s, inflation in Canada was consistently more stable than predicted by the fixed-coefficients Phillips curve. A time-varying-coefficient model, where all the parameters adjust simultaneously, shows that the behaviour of expectations was probably a major contributing factor. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Inflation and prices JEL Code(s): E, E3, E37
The U.S. Capacity Utilization Rate: A New Estimation Approach Staff Working Paper 1999-14 René Lalonde The recent strengh of the U.S. economy and historically low rates of inflation have sparked considerable debate among economists and Federal Reserve officials. In order to better explain the recent behaviour of inflation, some observers have raised the concept of a non-accelerating inflation capacity utilization rate (NAICU). In this study, the author presents a new […] Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles JEL Code(s): E, E3, E32, E37
Indicator Models of Core Inflation for Canada Staff Working Paper 1999-13 Richard Dion When there is uncertainty about estimates of the margin of unused capacity in the economy, examining a range of inflation indicators may help in assessing the balance of risks regarding the outlook for inflation. This paper tests a wide range of observable variables for their leading-indicator properties with respect to core inflation, including: commodity prices, […] Content Type(s): Staff research, Staff working papers Topic(s): Inflation and prices JEL Code(s): E, E3, E31, E37
Forecasting GDP Growth Using Artificial Neural Networks Staff Working Paper 1999-3 Greg Tkacz, Sarah Hu Financial and monetary variables have long been known to contain useful leading information regarding economic activity. In this paper, the authors wish to determine whether the forecasting performance of such variables can be improved using neural network models. The main findings are that, at the 1-quarter forecasting horizon, neural networks yield no significant forecast improvements. […] Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Monetary and financial indicators JEL Code(s): C, C4, C45, E, E3, E37, E4, E44
A Modified P*-Model of Inflation Based on M1 Staff Working Paper 1996-15 Joseph Atta-Mensah This paper examines the performance of M1 in an indicator-model of inflation over time horizons as long as 16 quarters into the future. Content Type(s): Staff research, Staff working papers Topic(s): Economic models JEL Code(s): E, E3, E37
A Distant-Early-Warning Model of Inflation Based on M1 Disequilibria Staff Working Paper 1996-5 Joseph Atta-Mensah, Walter Engert, Scott Hendry, Jamie Armour A vector error-correction model (VECM) that forecasts inflation between the current quarter and eight quarters ahead is found to provide significant leading information about inflation. The model focusses on the effects of deviations of M1 from its long-run demand but also includes, among other things, the influence of the exchange rate, a simple measure of the output gap and past prices. Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Monetary aggregates, Monetary policy transmission JEL Code(s): E, E3, E37, E5, E52