Econometric and statistical methods
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An Eclectic Approach to Estimating U.S. Potential GDP
The authors describe the principal results obtained from a new method applied to the estimation of potential U.S. GDP. -
Exponentials, Polynomials, and Fourier Series: More Yield Curve Modelling at the Bank of Canada
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. -
Filtering for Current Analysis
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. -
Towards a More Complete Debt Strategy Simulation Framework
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. -
Risk, Entropy, and the Transformation of Distributions
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. -
An Introduction to Wavelets for Economists
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.