C53 - Forecasting and Prediction Methods; Simulation Methods

• GDP by Industry in Real Time: Are Revisions Well Behaved?

  Staff Analytical Note 2018-40 Patrick Rizzetto

  The monthly data for real gross domestic product (GDP) by industry are used extensively in real time both to ground the Bank of Canada’s monitoring of economic activity and in the Bank’s nowcasting tools, making these data one of the most important high-frequency time series for Canadian nowcasting.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods JEL Code(s): C, C5, C53, C8, C82, E, E0, E01

• Nowcasting Canadian Economic Activity in an Uncertain Environment

  Staff Discussion Paper 2018-9 Tony Chernis, Rodrigo Sekkel

  This paper studies short-term forecasting of Canadian real GDP and its expenditure components using combinations of nowcasts from different models. Starting with a medium-sized data set, we use a suite of common nowcasting tools for quarterly real GDP and its expenditure components.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C53, E, E3, E37, E5, E52

• State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models

  Staff Working Paper 2018-14 Luis Uzeda

  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.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, C11, C15, C5, C51, C53

• Dismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting Inflation

  Staff Working Paper 2018-10 Lise Pichette, Marie-Noëlle Robitaille, Mohanad Salameh, Pierre St-Amant

  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).

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Inflation and prices, Potential output JEL Code(s): C, C5, C53, E, E3, E37