An Eclectic Approach to Estimating U.S. Potential GDP Staff Working Paper 2002-36 Marc-André Gosselin, René Lalonde The authors describe the principal results obtained from a new method applied to the estimation of potential U.S. GDP. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Potential output JEL Code(s): C, C3, C32, E, E2, E23, E3, E32
Exponentials, Polynomials, and Fourier Series: More Yield Curve Modelling at the Bank of Canada Staff Working Paper 2002-29 David Bolder, Scott Gusba This paper continues the work started by Bolder and Stréliski (1999) and considers two alternative classes of models for extracting zero-coupon and forward rates from a set of observed Government of Canada bond and treasury-bill prices. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Interest rates JEL Code(s): C, C0, C6, E, E4, G, G1
Filtering for Current Analysis Staff Working Paper 2002-28 Simon van Norden This paper shows how existing band-pass filtering techniques and their extension can be applied to the common current-analysis problem of estimating current trends or cycles. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Potential output JEL Code(s): C, C1
Towards a More Complete Debt Strategy Simulation Framework Staff Working Paper 2002-13 David Bolder An effective technique governments use to evaluate the desirability of different financing strategies involves stochastic simulation. This approach requires the postulation of the future dynamics of key macroeconomic variables and the use of those variables in the construction of a debt charge distribution for each individual financing strategy. Content Type(s): Staff research, Staff working papers Topic(s): Debt management, Econometric and statistical methods, Interest rates JEL Code(s): C, C0, C5, G, G0
Risk, Entropy, and the Transformation of Distributions Staff Working Paper 2002-11 Mark Reesor, Don McLeish The exponential family, relative entropy, and distortion are methods of transforming probability distributions. We establish a link between those methods, focusing on the relation between relative entropy and distortion. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Market structure and pricing JEL Code(s): C, C0, C1, D, D8, G, G0
An Introduction to Wavelets for Economists Staff Working Paper 2002-3 Christoph Schleicher Wavelets are mathematical expansions that transform data from the time domain into different layers of frequency levels. Compared to standard Fourier analysis, they have the advantage of being localized both in time and in the frequency domain, and enable the researcher to observe and analyze data at different scales. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C1
Modelling Mortgage Rate Changes with a Smooth Transition Error-Correction Model Staff Working Paper 2001-23 Ying Liu This paper uses a smooth transition error-correction model (STECM) to model the one-year and five-year mortgage rate changes. The model allows for a non-linear adjustment process of mortgage rates towards their long-run equilibrium. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Interest rates JEL Code(s): C, C2, C22, C4, C49, E, E4, E47
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. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Inflation: costs and benefits JEL Code(s): E, E3, E31, E32, E5, E52, E58
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
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