C53 - Forecasting and Prediction Methods; Simulation Methods - Bank of Canada
https://www.bankofcanada.ca/rss-feeds/
Bank of Canada RSS Feedsen2024-03-29T15:49:00+00:00State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models
https://www.bankofcanada.ca/2018/03/staff-working-paper-2018-14/
Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood.2018-03-16T10:40:23+00:00enState Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models2018-03-16Econometric and statistical methodsInflation and pricesStaff Working Paper 2018-14https://www.bankofcanada.ca/wp-content/uploads/2018/03/swp2018-14.pdf"State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models"Luis UzedaMarch 2018CC1C11C15C5C51C53Dismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting Inflation
https://www.bankofcanada.ca/2018/03/staff-working-paper-2018-10/
We use a new real-time database for Canada to study various output gap measures. This includes recently developed measures based on models incorporating many variables as inputs (and therefore requiring real-time data for many variables).2018-03-09T10:53:00+00:00enDismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting Inflation2018-03-09Econometric and statistical methodsInflation and pricesPotential outputStaff Working Paper 2018-10https://www.bankofcanada.ca/wp-content/uploads/2018/03/swp2018-10.pdfDismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting InflationLise PichetteMarie-Noƫlle RobitailleMohanad SalamehPierre St-AmantMarch 2018CC5C53EE3E37