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423 Results

On Inflation and the Persistence of Shocks to Output

Staff Working Paper 2001-22 Maral Kichian, Richard Luger
This paper empirically investigates the possibility that the effects of shocks to output depend on the level of inflation. The analysis extends Elwood's (1998) framework by incorporating in the model an inflation-threshold process that can potentially influence the stochastic properties of output.

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 Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C12, C15, E, E3, E37

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.

Affine Term-Structure Models: Theory and Implementation

Staff Working Paper 2001-15 David Bolder
Affine models describe the stylized time-series properties of the term structure of interest rates in a reasonable manner, they generalize relatively easily to higher dimensions, and a vast academic literature exists relating to their implementation. This combination of characteristics makes the affine class a natural introductory point for modelling interest rate dynamics.

Evaluating Linear and Non-Linear Time-Varying Forecast-Combination Methods

Staff Working Paper 2001-12 Fuchun Li, Greg Tkacz
This paper evaluates linear and non-linear forecast-combination methods. Among the non-linear methods, we propose a nonparametric kernel-regression weighting approach that allows maximum flexibility of the weighting parameters.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C14, C5, C53, E, E2, E27

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.

Testing the Pricing-to-Market Hypothesis: Case of the Transportation Equipment Industry

Staff Working Paper 2000-8 Lynda Khalaf, Maral Kichian
Pricing-to-market (PTM) theory suggests that monopolistic firms which export adjust their destination-specific markups in reaction to exchange rate shocks. These adjustments limit changes in the price of their exports.
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