This paper presents a framework for quantifying uncertainty around point forecasts for GDP, inflation and house prices …

We use a new real-time database for Canada to study various output gap measures. This includes recently developed … analyze output gap revisions and assess the usefulness of these gaps in forecasting total CPI inflation and three newly … developed measures of core CPI inflation: CPI-median, CPI-trim and CPI-common. We also study whether labour-input gaps …

the variation in the GDP in Canada. My findings suggest that TFP news shock is the key driver of GDP in the medium run and …

in Canada of both house prices and existing home sales. The aim is to apply two widely used ML techniques (support vector …