E37 - Forecasting and Simulation: Models and Applications

• 'Lean' versus 'Rich' Data Sets: Forecasting during the Great Moderation and the Great Recession

  Staff Working Paper 2010-37 Marco J. Lombardi, Philipp Maier

  We evaluate forecasts for the euro area in data-rich and ‘data-lean' environments by comparing three different approaches: a simple PMI model based on Purchasing Managers' Indices (PMIs), a dynamic factor model with euro area data, and a dynamic factor model with data from the euro plus data from national economies (pseudo-real time data).

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C50, C53, E, E3, E37, E4, E47

• Nowcasting the Global Economy

  Staff Discussion Paper 2010-12 James Rossiter

  Forecasts of global economic activity and inflation are important inputs when conducting monetary policy in small open economies such as Canada. As part of the Bank of Canada's broad agenda to augment its short-term forecasting tools, the author constructs simple mixed-frequency forecasting equations for quarterly global output, imports, and inflation using the monthly global Purchasing Managers Index (PMI).

  Content Type(s): Staff research, Staff discussion papers Topic(s): Economic models, International topics JEL Code(s): E, E3, E37, F, F4, F47

• Le pouvoir de prévision des indices PMI

  Staff Discussion Paper 2010-3 Claudia Godbout, Jocelyn Jacob

  The forecast of world economic growth plays a key role in the conduct of Canadian monetary policy. In this context, the authors study the usefulness of the monthly Purchasing Managers’ Indexes (PMIs) in predicting short-term real GDP growth in the euro area, Japan, the United Kingdom, and China, as well as in the world economy.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Business fluctuations and cycles, International topics JEL Code(s): E, E3, E37, F, F4, F47

• On the Advantages of Disaggregated Data: Insights from Forecasting the U.S. Economy in a Data-Rich Environment

  Staff Working Paper 2010-10 Nikita Perevalov, Philipp Maier

  The good forecasting performance of factor models has been well documented in the literature. While many studies focus on a very limited set of variables (typically GDP and inflation), this study evaluates forecasting performance at disaggregated levels to examine the source of the improved forecasting accuracy, relative to a simple autoregressive model. We use the latest revision of over 100 U.S. time series over the period 1974-2009 (monthly and quarterly data).

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C50, C53, E, E3, E37, E4, E47

• Introducing the Bank of Canada's Projection Model for the Global Economy

  Technical Report No. 99 Jeannine Bailliu, Patrick Blagrave, James Rossiter

  To complement its existing set of tools to analyze and forecast developments in the global economy, the Bank of Canada recently developed a version of the Global Projection Model (GPM) jointly with staff at the International Monetary Fund.

  Content Type(s): Staff research, Technical reports Topic(s): Business fluctuations and cycles, Economic models, International topics JEL Code(s): C, C6, C68, E, E2, E27, E3, E37, F, F0, F01