C1 - Econometric and Statistical Methods and Methodology: General
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Evaluating Linear and Non-Linear Time-Varying Forecast-Combination Methods
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. -
Testing for a Structural Break in the Volatility of Real GDP Growth in Canada
This study tests for a structural break in the volatility of real GDP growth in Canada following the methodology of McConnell and Quiros (1998). A break is found in the first quarter of 1991. -
Exact Non-Parametric Tests for a Random Walk with Unknown Drift under Conditional Heteroscedasticity
This paper proposes a class of linear signed rank statistics to test for a random walk with unknown drift in the presence of arbitrary forms of conditional heteroscedasticity.